From 4563c5bd6b24848cec031975b7e9c26a95b1cf01 Mon Sep 17 00:00:00 2001 From: github-actions <${GITHUB_ACTOR}@users.noreply.github.com> Date: Thu, 14 Oct 2021 18:44:08 +0000 Subject: [PATCH] Documentation for 85721be69b4011d4feda665c03147525bab67b7a --- d1/ded/windowed__median_8cpp.html | 93 ++-- ...dc652a36ea42ba262c4e4236e3e6601_cgraph.map | 2 +- ...dc652a36ea42ba262c4e4236e3e6601_cgraph.md5 | 2 +- ...dc652a36ea42ba262c4e4236e3e6601_cgraph.svg | 2 +- ...0f2228420376f4db7e1274f2b41667c_cgraph.map | 2 +- ...0f2228420376f4db7e1274f2b41667c_cgraph.md5 | 2 +- ...0f2228420376f4db7e1274f2b41667c_cgraph.svg | 2 +- ...28420376f4db7e1274f2b41667c_cgraph_org.svg | 2 +- d4/ded/namespaceprobability.html | 4 +- d9/d24/poisson__dist_8cpp.html | 9 +- ...9c9e74079278ca10e3b97a8d5391c9a_cgraph.map | 10 +- ...9c9e74079278ca10e3b97a8d5391c9a_cgraph.md5 | 2 +- ...9c9e74079278ca10e3b97a8d5391c9a_cgraph.svg | 106 +++-- ...66f6b31b5ad750f1fe042a706a4e3d4_cgraph.map | 12 +- ...66f6b31b5ad750f1fe042a706a4e3d4_cgraph.md5 | 2 +- ...66f6b31b5ad750f1fe042a706a4e3d4_cgraph.svg | 164 ++++--- ...tric__dist_1_1geometric__distribution.html | 64 ++- dc/db5/text__search_8cpp.html | 191 +++++++-- dc/db5/text__search_8cpp.js | 4 +- ...f8975d227cd0e58f298b380c5dac0d9_cgraph.map | 4 + ...f8975d227cd0e58f298b380c5dac0d9_cgraph.md5 | 1 + ...f8975d227cd0e58f298b380c5dac0d9_cgraph.svg | 37 ++ ...8dca7b867074164d5f45b0f3851269d_cgraph.map | 6 + ...8dca7b867074164d5f45b0f3851269d_cgraph.md5 | 1 + ...8dca7b867074164d5f45b0f3851269d_cgraph.svg | 67 +++ ...66f6b31b5ad750f1fe042a706a4e3d4_cgraph.map | 7 +- ...66f6b31b5ad750f1fe042a706a4e3d4_cgraph.md5 | 2 +- ...66f6b31b5ad750f1fe042a706a4e3d4_cgraph.svg | 113 +++-- dd/d0f/text__search_8cpp__incl.map | 9 +- dd/d0f/text__search_8cpp__incl.md5 | 2 +- dd/d0f/text__search_8cpp__incl.svg | 49 ++- de/d72/geometric__dist_8cpp.html | 178 ++++---- ...1windowed__median_1_1_windowed_median.html | 71 ++-- globals_func_l.html | 1 + globals_func_t.html | 2 +- globals_i.html | 2 +- globals_l.html | 1 + globals_p.html | 2 +- globals_t.html | 2 +- navtreedata.js | 4 +- navtreeindex0.js | 64 +-- navtreeindex1.js | 22 +- navtreeindex10.js | 12 +- navtreeindex11.js | 60 +-- navtreeindex12.js | 46 +- navtreeindex13.js | 110 ++--- navtreeindex2.js | 44 +- navtreeindex3.js | 52 +-- navtreeindex4.js | 72 ++-- navtreeindex5.js | 52 +-- navtreeindex6.js | 56 +-- navtreeindex7.js | 64 +-- navtreeindex8.js | 52 +-- navtreeindex9.js | 58 +-- search/all_11.js | 4 +- search/all_15.js | 8 +- search/all_a.js | 399 +++++++++--------- search/all_d.js | 22 +- search/functions_14.js | 4 +- search/functions_9.js | 192 ++++----- search/functions_c.js | 2 +- 61 files changed, 1516 insertions(+), 1115 deletions(-) create mode 100644 dc/db5/text__search_8cpp_a3f8975d227cd0e58f298b380c5dac0d9_cgraph.map create mode 100644 dc/db5/text__search_8cpp_a3f8975d227cd0e58f298b380c5dac0d9_cgraph.md5 create mode 100644 dc/db5/text__search_8cpp_a3f8975d227cd0e58f298b380c5dac0d9_cgraph.svg create mode 100644 dc/db5/text__search_8cpp_aa8dca7b867074164d5f45b0f3851269d_cgraph.map create mode 100644 dc/db5/text__search_8cpp_aa8dca7b867074164d5f45b0f3851269d_cgraph.md5 create mode 100644 dc/db5/text__search_8cpp_aa8dca7b867074164d5f45b0f3851269d_cgraph.svg diff --git a/d1/ded/windowed__median_8cpp.html b/d1/ded/windowed__median_8cpp.html index 4ea2272f9..dc3fcacb9 100644 --- a/d1/ded/windowed__median_8cpp.html +++ b/d1/ded/windowed__median_8cpp.html @@ -141,7 +141,7 @@ using probability::windowe

Functions

static void test (const std::vector< int > &vals, int windowSize) - namespace probability More...
+ Self-test implementations. More...
  int main (int argc, const char *argv[])  Main function. More...
@@ -203,36 +203,45 @@ Algorithm

Window size in the range [3, 10]

Random array values (positive/negative)

Testing randomized test

-
197 {
-
198
+
198 {
199 /// A few fixed test cases
-
200 test({1, 2, 3, 4, 5, 6, 7, 8, 9}, 3); /// Array of sorted values; odd window size
-
201 test({9, 8, 7, 6, 5, 4, 3, 2, 1}, 3); /// Array of sorted values - decreasing; odd window size
-
202 test({9, 8, 7, 6, 5, 4, 5, 6}, 4); /// Even window size
-
203 test({3, 3, 3, 3, 3, 3, 3, 3, 3}, 3); /// Array with repeating values
-
204 test({3, 3, 3, 3, 7, 3, 3, 3, 3}, 3); /// Array with same values except one
-
205 test({4, 3, 3, -5, -5, 1, 3, 4, 5}, 5); /// Array that includes repeating values including negatives
-
206
-
207 /// Array with large values - sum of few pairs exceeds MAX_INT. Window size is even - testing calculation of
-
208 /// average median between two middle values
-
209 test({470211272, 101027544, 1457850878, 1458777923, 2007237709, 823564440,
-
210 1115438165, 1784484492, 74243042, 114807987}, 6);
-
211
-
212 /// Random test cases
-
213 std::srand(static_cast<unsigned int>(std::time(nullptr)));
-
214 std::vector<int> vals;
-
215 for (int i = 8; i < 100; i++) {
-
216 const auto n = 1 + std::rand() / ((RAND_MAX + 5u) / 20); /// Array size in the range [5, 20]
-
217 auto windowSize = 1 + std::rand() / ((RAND_MAX + 3u) / 10); /// Window size in the range [3, 10]
-
218 vals.clear();
-
219 vals.reserve(n);
-
220 for (int i = 0; i < n; i++) {
-
221 vals.push_back(rand() - RAND_MAX); /// Random array values (positive/negative)
-
222 }
-
223 test(vals, windowSize); /// Testing randomized test
-
224 }
-
225 return 0;
-
226}
+
200 test({1, 2, 3, 4, 5, 6, 7, 8, 9},
+
201 3); /// Array of sorted values; odd window size
+
202 test({9, 8, 7, 6, 5, 4, 3, 2, 1},
+
203 3); /// Array of sorted values - decreasing; odd window size
+
204 test({9, 8, 7, 6, 5, 4, 5, 6}, 4); /// Even window size
+
205 test({3, 3, 3, 3, 3, 3, 3, 3, 3}, 3); /// Array with repeating values
+
206 test({3, 3, 3, 3, 7, 3, 3, 3, 3}, 3); /// Array with same values except one
+
207 test({4, 3, 3, -5, -5, 1, 3, 4, 5},
+
208 5); /// Array that includes repeating values including negatives
+
209
+
210 /// Array with large values - sum of few pairs exceeds MAX_INT. Window size
+
211 /// is even - testing calculation of average median between two middle
+
212 /// values
+
213 test({470211272, 101027544, 1457850878, 1458777923, 2007237709, 823564440,
+
214 1115438165, 1784484492, 74243042, 114807987},
+
215 6);
+
216
+
217 /// Random test cases
+
218 std::srand(static_cast<unsigned int>(std::time(nullptr)));
+
219 std::vector<int> vals;
+
220 for (int i = 8; i < 100; i++) {
+
221 const auto n =
+
222 1 + std::rand() /
+
223 ((RAND_MAX + 5u) / 20); /// Array size in the range [5, 20]
+
224 auto windowSize =
+
225 1 + std::rand() / ((RAND_MAX + 3u) /
+
226 10); /// Window size in the range [3, 10]
+
227 vals.clear();
+
228 vals.reserve(n);
+
229 for (int i = 0; i < n; i++) {
+
230 vals.push_back(
+
231 rand() - RAND_MAX); /// Random array values (positive/negative)
+
232 }
+
233 test(vals, windowSize); /// Testing randomized test
+
234 }
+
235 return 0;
+
236}
T clear(T... args)
T push_back(T... args)
T rand(T... args)
@@ -240,7 +249,7 @@ Algorithm
T srand(T... args)
T time(T... args)
-
static void test(const std::vector< int > &vals, int windowSize)
namespace probability
Definition: windowed_median.cpp:181
+
static void test(const std::vector< int > &vals, int windowSize)
Self-test implementations.
Definition: windowed_median.cpp:182
Here is the call graph for this function:
@@ -284,8 +293,8 @@ Here is the call graph for this function:
-

namespace probability

-

Self-test implementations

Parameters
+

Self-test implementations.

+
Parameters
@@ -293,15 +302,15 @@ Here is the call graph for this function:

Comparing medians: efficient function vs. Naive one

-
181 {
-
182 probability::windowed_median::WindowedMedian windowedMedian(windowSize);
-
183 for (const auto val : vals) {
-
184 windowedMedian.insert(val);
-
185
-
186 /// Comparing medians: efficient function vs. Naive one
-
187 assert(windowedMedian.getMedian() == windowedMedian.getMedianNaive());
-
188 }
-
189}
+
182 {
+
183 probability::windowed_median::WindowedMedian windowedMedian(windowSize);
+
184 for (const auto val : vals) {
+
185 windowedMedian.insert(val);
+
186
+
187 /// Comparing medians: efficient function vs. Naive one
+
188 assert(windowedMedian.getMedian() == windowedMedian.getMedianNaive());
+
189 }
+
190}
A class to calculate the median of a leading sliding window at the back of a stream of integer values...
Definition: windowed_median.cpp:56
Here is the call graph for this function:
diff --git a/d1/ded/windowed__median_8cpp_a6dc652a36ea42ba262c4e4236e3e6601_cgraph.map b/d1/ded/windowed__median_8cpp_a6dc652a36ea42ba262c4e4236e3e6601_cgraph.map index c6d371edc..316d0e595 100644 --- a/d1/ded/windowed__median_8cpp_a6dc652a36ea42ba262c4e4236e3e6601_cgraph.map +++ b/d1/ded/windowed__median_8cpp_a6dc652a36ea42ba262c4e4236e3e6601_cgraph.map @@ -1,5 +1,5 @@ - + diff --git a/d1/ded/windowed__median_8cpp_a6dc652a36ea42ba262c4e4236e3e6601_cgraph.md5 b/d1/ded/windowed__median_8cpp_a6dc652a36ea42ba262c4e4236e3e6601_cgraph.md5 index 5f4b24530..6a58a953f 100644 --- a/d1/ded/windowed__median_8cpp_a6dc652a36ea42ba262c4e4236e3e6601_cgraph.md5 +++ b/d1/ded/windowed__median_8cpp_a6dc652a36ea42ba262c4e4236e3e6601_cgraph.md5 @@ -1 +1 @@ -af3ecd3d6ea1f430112ad540bab9e020 \ No newline at end of file +c59a578bfd683bb8ce5212d75ac33ac4 \ No newline at end of file diff --git a/d1/ded/windowed__median_8cpp_a6dc652a36ea42ba262c4e4236e3e6601_cgraph.svg b/d1/ded/windowed__median_8cpp_a6dc652a36ea42ba262c4e4236e3e6601_cgraph.svg index 27945013c..333faa02c 100644 --- a/d1/ded/windowed__median_8cpp_a6dc652a36ea42ba262c4e4236e3e6601_cgraph.svg +++ b/d1/ded/windowed__median_8cpp_a6dc652a36ea42ba262c4e4236e3e6601_cgraph.svg @@ -12,7 +12,7 @@ Node1 - + test diff --git a/d1/ded/windowed__median_8cpp_ac0f2228420376f4db7e1274f2b41667c_cgraph.map b/d1/ded/windowed__median_8cpp_ac0f2228420376f4db7e1274f2b41667c_cgraph.map index fd2a2fb06..0aed0ee5d 100644 --- a/d1/ded/windowed__median_8cpp_ac0f2228420376f4db7e1274f2b41667c_cgraph.map +++ b/d1/ded/windowed__median_8cpp_ac0f2228420376f4db7e1274f2b41667c_cgraph.map @@ -5,7 +5,7 @@ - + diff --git a/d1/ded/windowed__median_8cpp_ac0f2228420376f4db7e1274f2b41667c_cgraph.md5 b/d1/ded/windowed__median_8cpp_ac0f2228420376f4db7e1274f2b41667c_cgraph.md5 index 622913426..f0b3a964e 100644 --- a/d1/ded/windowed__median_8cpp_ac0f2228420376f4db7e1274f2b41667c_cgraph.md5 +++ b/d1/ded/windowed__median_8cpp_ac0f2228420376f4db7e1274f2b41667c_cgraph.md5 @@ -1 +1 @@ -3a15537f7782af1ae7db25b318481ec4 \ No newline at end of file +ec2e591c9b51770b92506ad47c4598dd \ No newline at end of file diff --git a/d1/ded/windowed__median_8cpp_ac0f2228420376f4db7e1274f2b41667c_cgraph.svg b/d1/ded/windowed__median_8cpp_ac0f2228420376f4db7e1274f2b41667c_cgraph.svg index 10c55b11f..1c7f7b270 100644 --- a/d1/ded/windowed__median_8cpp_ac0f2228420376f4db7e1274f2b41667c_cgraph.svg +++ b/d1/ded/windowed__median_8cpp_ac0f2228420376f4db7e1274f2b41667c_cgraph.svg @@ -142,7 +142,7 @@ var sectionId = 'dynsection-1'; Node7 - + test diff --git a/d1/ded/windowed__median_8cpp_ac0f2228420376f4db7e1274f2b41667c_cgraph_org.svg b/d1/ded/windowed__median_8cpp_ac0f2228420376f4db7e1274f2b41667c_cgraph_org.svg index e8eabd5c2..0cad84d33 100644 --- a/d1/ded/windowed__median_8cpp_ac0f2228420376f4db7e1274f2b41667c_cgraph_org.svg +++ b/d1/ded/windowed__median_8cpp_ac0f2228420376f4db7e1274f2b41667c_cgraph_org.svg @@ -96,7 +96,7 @@ Node7 - + test diff --git a/d4/ded/namespaceprobability.html b/d4/ded/namespaceprobability.html index 3e339e8a2..7f94c8123 100644 --- a/d4/ded/namespaceprobability.html +++ b/d4/ded/namespaceprobability.html @@ -98,10 +98,8 @@ $(document).ready(function(){initNavTree('d4/ded/namespaceprobability.html','../ More...

Detailed Description

Probability algorithms.

-

for std::vector - needed in testing

for assert for math functions for fixed size data types for time to initialize rng for std::cout for std::numeric_limits for random numbers for std::vector

-

for assert for std::rand - needed in testing for std::time - needed in testing for std::list - used to manage sliding window for std::multiset - used to manage multi-value sorted sliding window values

-

Probability algorithms

+

for assert for std::rand - needed in testing for std::time - needed in testing for std::list - used to manage sliding window for std::multiset - used to manage multi-value sorted sliding window values for std::vector - needed in testing

diff --git a/d9/d24/poisson__dist_8cpp.html b/d9/d24/poisson__dist_8cpp.html index e3786d13b..5bc43919b 100644 --- a/d9/d24/poisson__dist_8cpp.html +++ b/d9/d24/poisson__dist_8cpp.html @@ -117,7 +117,7 @@ Functions - + @@ -196,7 +196,7 @@ Functions
Here is the call graph for this function:
-
+
@@ -269,16 +269,17 @@ Here is the call graph for this function:

54 {
55 double probability = 0;
-
56 for (int i = lower; i <= upper; i++) {
+
56 for (int i = lower; i <= upper; i++) {
57 probability += poisson_x_successes(expected, i);
58 }
59 return probability;
60}
Probability algorithms.
+
std::string lower(std::string word)
function to convert a C++ string to lower case
Definition: text_search.cpp:19
Here is the call graph for this function:
-
+
diff --git a/d9/d24/poisson__dist_8cpp_ad9c9e74079278ca10e3b97a8d5391c9a_cgraph.map b/d9/d24/poisson__dist_8cpp_ad9c9e74079278ca10e3b97a8d5391c9a_cgraph.map index 65d831748..7780552f6 100644 --- a/d9/d24/poisson__dist_8cpp_ad9c9e74079278ca10e3b97a8d5391c9a_cgraph.map +++ b/d9/d24/poisson__dist_8cpp_ad9c9e74079278ca10e3b97a8d5391c9a_cgraph.map @@ -1,7 +1,9 @@ - - - - + + + + + + diff --git a/d9/d24/poisson__dist_8cpp_ad9c9e74079278ca10e3b97a8d5391c9a_cgraph.md5 b/d9/d24/poisson__dist_8cpp_ad9c9e74079278ca10e3b97a8d5391c9a_cgraph.md5 index 45744f16c..cfd0728f9 100644 --- a/d9/d24/poisson__dist_8cpp_ad9c9e74079278ca10e3b97a8d5391c9a_cgraph.md5 +++ b/d9/d24/poisson__dist_8cpp_ad9c9e74079278ca10e3b97a8d5391c9a_cgraph.md5 @@ -1 +1 @@ -c20ca25f6fafc59a09112f13627fa08a \ No newline at end of file +3229977e39f4a7f51e5aad0e2cb77ab7 \ No newline at end of file diff --git a/d9/d24/poisson__dist_8cpp_ad9c9e74079278ca10e3b97a8d5391c9a_cgraph.svg b/d9/d24/poisson__dist_8cpp_ad9c9e74079278ca10e3b97a8d5391c9a_cgraph.svg index 37f950020..8f82dd773 100644 --- a/d9/d24/poisson__dist_8cpp_ad9c9e74079278ca10e3b97a8d5391c9a_cgraph.svg +++ b/d9/d24/poisson__dist_8cpp_ad9c9e74079278ca10e3b97a8d5391c9a_cgraph.svg @@ -4,79 +4,109 @@ - - + + poisson_range_successes - + Node1 - -poisson_range_successes + +poisson_range_successes Node2 - - -poisson_x_successes + + +lower Node1->Node2 - - + + + + + +Node4 + + +poisson_x_successes + + + + + +Node1->Node4 + + Node3 - - -std::exp + + +std::string::length Node2->Node3 - - - - - -Node4 - - -fact - - - - - -Node2->Node4 - - + + Node5 - - -std::pow + + +std::exp - + -Node2->Node5 - - +Node4->Node5 + + + + + +Node6 + + +fact + + + + + +Node4->Node6 + + + + + +Node7 + + +std::pow + + + + + +Node4->Node7 + + diff --git a/d9/d24/poisson__dist_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.map b/d9/d24/poisson__dist_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.map index 382fc811d..3661bdae6 100644 --- a/d9/d24/poisson__dist_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.map +++ b/d9/d24/poisson__dist_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.map @@ -3,9 +3,11 @@ - - - - - + + + + + + + diff --git a/d9/d24/poisson__dist_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.md5 b/d9/d24/poisson__dist_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.md5 index d634030c1..0820a791d 100644 --- a/d9/d24/poisson__dist_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.md5 +++ b/d9/d24/poisson__dist_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.md5 @@ -1 +1 @@ -7a09fefa1bc8adbb3f1bd790cacf9e80 \ No newline at end of file +c167cdcab0a425e752d3b176af0bbe6c \ No newline at end of file diff --git a/d9/d24/poisson__dist_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.svg b/d9/d24/poisson__dist_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.svg index a499638c6..66d34f672 100644 --- a/d9/d24/poisson__dist_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.svg +++ b/d9/d24/poisson__dist_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.svg @@ -4,17 +4,17 @@ - - + + main - + Node1 - -main + +main @@ -22,127 +22,157 @@ Node2 - -std::endl + +std::endl Node1->Node2 - - + + Node3 - -poisson_expected + +poisson_expected Node1->Node3 - - + + Node4 - -poisson_range_successes + +poisson_range_successes Node1->Node4 - - + + - - -Node5 - + + +Node7 + poisson_x_successes - - -Node1->Node5 - - + + +Node1->Node7 + + - - -Node9 - - -poisson_rate + + +Node11 + + +poisson_rate - - -Node1->Node9 - - + + +Node1->Node11 + + + + + +Node5 + + +lower + + Node4->Node5 - - + + + + + +Node4->Node7 + + Node6 - - -std::exp + + +std::string::length Node5->Node6 - - - - - -Node7 - - -fact - - - - - -Node5->Node7 - - + + Node8 - - -std::pow + + +std::exp - + -Node5->Node8 - - +Node7->Node8 + + + + + +Node9 + + +fact + + + + + +Node7->Node9 + + + + + +Node10 + + +std::pow + + + + + +Node7->Node10 + + diff --git a/da/d19/classprobability_1_1geometric__dist_1_1geometric__distribution.html b/da/d19/classprobability_1_1geometric__dist_1_1geometric__distribution.html index e6b60ac1e..c8837814f 100644 --- a/da/d19/classprobability_1_1geometric__dist_1_1geometric__distribution.html +++ b/da/d19/classprobability_1_1geometric__dist_1_1geometric__distribution.html @@ -172,8 +172,8 @@ float p
valsStream of values
windowSizeSize of sliding window
 
double poisson_x_successes (double expected, double x)
 
double poisson_range_successes (double expected, double lower, double upper)
double poisson_range_successes (double expected, double lower, double upper)
 
int main ()
 
-
59: p(p) {}
-
float p
The succes probability p.
Definition: geometric_dist.cpp:52
+
64: p(p) {}
+
float p
The succes probability p.
Definition: geometric_dist.cpp:57
@@ -210,9 +210,9 @@ float p
Returns
The probability to have success within k trials
-
102 {
-
103 return 1.0f - std::pow((1.0f - p), static_cast<float>(k));
-
104 }
+
104 {
+
105 return 1.0f - std::pow((1.0f - p), static_cast<float>(k));
+
106 }
T pow(T... args)
Here is the call graph for this function:
@@ -248,12 +248,14 @@ Here is the call graph for this function:

Generates a (discrete) sample according to the geometrical distribution.

Returns
A geometrically distributed number in [1,\infty)
-
121 {
-
122 float uniform_sample = generate_uniform();
-
123 return static_cast<uint32_t>(inverse_cumulative_distribution(uniform_sample)) + 1;
-
124 }
-
float inverse_cumulative_distribution(const float &cdf) const
The inverse cumulative distribution function.
Definition: geometric_dist.cpp:113
-
float generate_uniform()
Returns a random number between [0,1].
Definition: geometric_dist.cpp:42
+
125 {
+
126 float uniform_sample = generate_uniform();
+
127 return static_cast<uint32_t>(
+
128 inverse_cumulative_distribution(uniform_sample)) +
+
129 1;
+
130 }
+
float inverse_cumulative_distribution(const float &cdf) const
The inverse cumulative distribution function.
Definition: geometric_dist.cpp:116
+
float generate_uniform()
Returns a random number between [0,1].
Definition: geometric_dist.cpp:48
Here is the call graph for this function:
@@ -288,9 +290,7 @@ Here is the call graph for this function:

The expected value of a geometrically distributed random variable X.

Returns
E[X] = 1/p
-
65 {
-
66 return 1.0f/ p;
-
67 }
+
71{ return 1.0f / p; }
@@ -326,9 +326,9 @@ Here is the call graph for this function:
Returns
The number of (exact) trials.
-
113 {
-
114 return std::log(1.0f - cdf) / std::log(1.0f - p);
-
115 }
+
116 {
+
117 return std::log(1.0f - cdf) / std::log(1.0f - p);
+
118 }
T log(T... args)
Here is the call graph for this function:
@@ -371,9 +371,9 @@ Here is the call graph for this function:
Returns
A number between [0,1] according to p * (1-p)^{k-1}
-
92 {
-
93 return std::pow((1.0f - p), static_cast<float>(k - 1)) * p;
-
94 }
+
93 {
+
94 return std::pow((1.0f - p), static_cast<float>(k - 1)) * p;
+
95 }
Here is the call graph for this function:
@@ -426,12 +426,14 @@ Here is the call graph for this function:
Returns
The probability of having success within a range of tries [min_tries, max_tries]
-
135 {
-
136 float cdf_lower = cumulative_distribution(min_tries - 1);
-
137 float cdf_upper = max_tries == std::numeric_limits<uint32_t>::max() ? 1.0f : cumulative_distribution(max_tries);
-
138 return cdf_upper - cdf_lower;
-
139 }
-
float cumulative_distribution(const uint32_t &k) const
The cumulative distribution function.
Definition: geometric_dist.cpp:102
+
147 {
+
148 float cdf_lower = cumulative_distribution(min_tries - 1);
+
149 float cdf_upper = max_tries == std::numeric_limits<uint32_t>::max()
+
150 ? 1.0f
+
151 : cumulative_distribution(max_tries);
+
152 return cdf_upper - cdf_lower;
+
153 }
+
float cumulative_distribution(const uint32_t &k) const
The cumulative distribution function.
Definition: geometric_dist.cpp:104
T max(T... args)
Here is the call graph for this function:
@@ -467,10 +469,8 @@ Here is the call graph for this function:

The standard deviation of a geometrically distributed random variable X.

Returns
\sigma = \sqrt{V[X]}
-
81 {
-
82 return std::sqrt(variance());
-
83 }
-
float variance() const
The variance of a geometrically distributed random variable X.
Definition: geometric_dist.cpp:73
+
84{ return std::sqrt(variance()); }
+
float variance() const
The variance of a geometrically distributed random variable X.
Definition: geometric_dist.cpp:77
T sqrt(T... args)
Here is the call graph for this function:
@@ -506,9 +506,7 @@ Here is the call graph for this function:

The variance of a geometrically distributed random variable X.

Returns
V[X] = (1 - p) / p^2
-
73 {
-
74 return (1.0f - p) / (p * p);
-
75 }
+
77{ return (1.0f - p) / (p * p); }
diff --git a/dc/db5/text__search_8cpp.html b/dc/db5/text__search_8cpp.html index 9fe8a8267..b83e4a1b5 100644 --- a/dc/db5/text__search_8cpp.html +++ b/dc/db5/text__search_8cpp.html @@ -98,24 +98,78 @@ $(document).ready(function(){initNavTree('dc/db5/text__search_8cpp.html','../../

Search for words in a long textual paragraph. More...

-
#include <cstdlib>
+
#include <cassert>
+#include <cstdlib>
#include <iostream>
#include <cstring>
Include dependency graph for text_search.cpp:
-
+
+ + + + + + +

Functions

std::string lower (std::string word)
 function to convert a C++ string to lower case More...
 
static void test ()
 Self-test implementations. More...
 
int main ()
 Main function. More...
 

Detailed Description

Search for words in a long textual paragraph.

Function Documentation

+ +

◆ lower()

+ +
+
+ + + + + + + + +
std::string lower (std::string word)
+
+ +

function to convert a C++ string to lower case

+
Parameters
+ + +
wordtakes an std::string as input
+
+
+
Returns
std::string
+
19 {
+
20 int length = word.length();
+
21 std::string lc = "";
+
22
+
23 for (int i = 0; i < length; i++) {
+
24 lc += tolower(word[i]);
+
25 }
+
26
+
27 return lc;
+
28}
+ +
T length(T... args)
+
T tolower(T... args)
+
+Here is the call graph for this function:
+
+
+
+
+ +
+

◆ main()

@@ -131,47 +185,116 @@ Functions
-

Main function

-
15 {
-
16 std::string paragraph;
-
17 std::cout << "Please enter your paragraph: \n";
-
18 std::getline(std::cin, paragraph);
-
19 std::cout << "\nHello, your paragraph is:\n " << paragraph << "!\n";
-
20 std::cout << "\nThe size of your paragraph = " << paragraph.size()
-
21 << " characters. \n\n";
-
22
-
23 if (paragraph.empty()) {
-
24 std::cout << "\nThe paragraph is empty" << std::endl;
-
25 } else {
-
26 while (true) {
-
27 std::string word;
-
28 std::cout << "Please enter the word you are searching for: ";
- -
30 std::cout << "Hello, your word is " << word << "!\n";
-
31 if (paragraph.find(word) == std::string::npos) {
-
32 std::cout << word << " does not exist in the sentence"
-
33 << std::endl;
-
34 } else {
-
35 std::cout << "The word " << word << " is now found at location "
-
36 << paragraph.find(word) << std::endl
-
37 << std::endl;
-
38 }
-
39 std::cin.get();
-
40 }
-
41 }
-
42}
+ +

Main function.

+
Returns
0 on exit
+
44 {
+
45 test(); // run self-test implementations
+
46 std::string paragraph;
+
47 std::cout << "Please enter your paragraph: \n";
+
48 std::getline(std::cin, paragraph);
+
49 std::cout << "\nHello, your paragraph is:\n " << paragraph << "!\n";
+
50 std::cout << "\nThe size of your paragraph = " << paragraph.size()
+
51 << " characters. \n\n";
+
52
+
53 if (paragraph.empty()) {
+
54 std::cout << "\nThe paragraph is empty" << std::endl;
+
55 } else {
+
56 int ch = 0;
+
57 while (true) {
+
58 std::string word;
+
59 std::cout << "Please enter the word you are searching for: ";
+ +
61 std::cout << "Ignore case-sensitive? 1 = Yes, 0 = No" << std::endl;
+
62 std::cin >> ch;
+
63 if (ch == 1) {
+
64 std::string lowerCase = lower(
+
65 paragraph); // convert std::string paragraph to lowercase
+
66 // and store it in std::string lowerCase
+
67 std::string lowerCaseWord =
+
68 lower(word); // convert std::string paragraph to lowercase
+
69 // and store it in std::string lowerCase
+
70
+
71 std::cout << "Hello, your word is " << word << "!\n";
+
72 if (lowerCase.find(lowerCaseWord) == std::string::npos) {
+
73 std::cout << word << " does not exist in the sentence"
+
74 << std::endl;
+
75 } else {
+
76 std::cout << "The word " << word
+
77 << " is now found at location "
+
78 << lowerCase.find(lowerCaseWord) << std::endl
+
79 << std::endl;
+
80 }
+
81 } else {
+
82 std::cout << "Hello, your word is " << word << "!\n";
+
83 if (paragraph.find(word) == std::string::npos) {
+
84 std::cout << word << " does not exist in the sentence"
+
85 << std::endl;
+
86 } else {
+
87 std::cout << "The word " << word
+
88 << " is now found at location "
+
89 << paragraph.find(word) << std::endl
+
90 << std::endl;
+
91 }
+
92 }
+
93 std::cout << "\nPress Ctrl + C to exit the program.\n\n";
+
94 std::cin.get();
+
95 }
+
96 }
+
97 return 0;
+
98}
-
T empty(T... args)
T endl(T... args)
T find(T... args)
T getline(T... args)
-
T size(T... args)
+
std::string lower(std::string word)
function to convert a C++ string to lower case
Definition: text_search.cpp:19
+
static void test()
Self-test implementations.
Definition: text_search.cpp:34
Here is the call graph for this function:
-
+
+
+
+ +
+
+ +

◆ test()

+ +
+
+ + + + + +
+ + + + + + + +
static void test ()
+
+static
+
+ +

Self-test implementations.

+
Returns
void
+
34 {
+
35 assert(lower("abcd").compare("abcd") == 0);
+
36 assert(lower("abc").compare("abcd") == -1);
+
37 assert(lower("abcd").compare("abc") == 1);
+
38}
+
int compare(const void *a, const void *b)
Definition: shell_sort2.cpp:87
+
+Here is the call graph for this function:
+
+
diff --git a/dc/db5/text__search_8cpp.js b/dc/db5/text__search_8cpp.js index d63f04085..1de05d95d 100644 --- a/dc/db5/text__search_8cpp.js +++ b/dc/db5/text__search_8cpp.js @@ -1,4 +1,6 @@ var text__search_8cpp = [ - [ "main", "dc/db5/text__search_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4", null ] + [ "lower", "dc/db5/text__search_8cpp.html#a3f8975d227cd0e58f298b380c5dac0d9", null ], + [ "main", "dc/db5/text__search_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4", null ], + [ "test", "dc/db5/text__search_8cpp.html#aa8dca7b867074164d5f45b0f3851269d", null ] ]; \ No newline at end of file diff --git a/dc/db5/text__search_8cpp_a3f8975d227cd0e58f298b380c5dac0d9_cgraph.map b/dc/db5/text__search_8cpp_a3f8975d227cd0e58f298b380c5dac0d9_cgraph.map new file mode 100644 index 000000000..9560d58d3 --- /dev/null +++ b/dc/db5/text__search_8cpp_a3f8975d227cd0e58f298b380c5dac0d9_cgraph.map @@ -0,0 +1,4 @@ + + + + diff --git a/dc/db5/text__search_8cpp_a3f8975d227cd0e58f298b380c5dac0d9_cgraph.md5 b/dc/db5/text__search_8cpp_a3f8975d227cd0e58f298b380c5dac0d9_cgraph.md5 new file mode 100644 index 000000000..dd8232b0a --- /dev/null +++ b/dc/db5/text__search_8cpp_a3f8975d227cd0e58f298b380c5dac0d9_cgraph.md5 @@ -0,0 +1 @@ +27be72511f09b0a1133278c034095afc \ No newline at end of file diff --git a/dc/db5/text__search_8cpp_a3f8975d227cd0e58f298b380c5dac0d9_cgraph.svg b/dc/db5/text__search_8cpp_a3f8975d227cd0e58f298b380c5dac0d9_cgraph.svg new file mode 100644 index 000000000..f01213a4e --- /dev/null +++ b/dc/db5/text__search_8cpp_a3f8975d227cd0e58f298b380c5dac0d9_cgraph.svg @@ -0,0 +1,37 @@ + + + + + + +lower + + + +Node1 + + +lower + + + + + +Node2 + + +std::string::length + + + + + +Node1->Node2 + + + + + diff --git a/dc/db5/text__search_8cpp_aa8dca7b867074164d5f45b0f3851269d_cgraph.map b/dc/db5/text__search_8cpp_aa8dca7b867074164d5f45b0f3851269d_cgraph.map new file mode 100644 index 000000000..2cedb8a26 --- /dev/null +++ b/dc/db5/text__search_8cpp_aa8dca7b867074164d5f45b0f3851269d_cgraph.map @@ -0,0 +1,6 @@ + + + + + + diff --git a/dc/db5/text__search_8cpp_aa8dca7b867074164d5f45b0f3851269d_cgraph.md5 b/dc/db5/text__search_8cpp_aa8dca7b867074164d5f45b0f3851269d_cgraph.md5 new file mode 100644 index 000000000..dc37a424e --- /dev/null +++ b/dc/db5/text__search_8cpp_aa8dca7b867074164d5f45b0f3851269d_cgraph.md5 @@ -0,0 +1 @@ +383ae572b1413ac7a47d0decda1a149f \ No newline at end of file diff --git a/dc/db5/text__search_8cpp_aa8dca7b867074164d5f45b0f3851269d_cgraph.svg b/dc/db5/text__search_8cpp_aa8dca7b867074164d5f45b0f3851269d_cgraph.svg new file mode 100644 index 000000000..fe31338ab --- /dev/null +++ b/dc/db5/text__search_8cpp_aa8dca7b867074164d5f45b0f3851269d_cgraph.svg @@ -0,0 +1,67 @@ + + + + + + +test + + + +Node1 + + +test + + + + + +Node2 + + +compare + + + + + +Node1->Node2 + + + + + +Node3 + + +lower + + + + + +Node1->Node3 + + + + + +Node4 + + +std::string::length + + + + + +Node3->Node4 + + + + + diff --git a/dc/db5/text__search_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.map b/dc/db5/text__search_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.map index 0ec545b00..7d5dedf89 100644 --- a/dc/db5/text__search_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.map +++ b/dc/db5/text__search_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.map @@ -1,8 +1,11 @@ - + - + + + + diff --git a/dc/db5/text__search_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.md5 b/dc/db5/text__search_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.md5 index 7761e71e6..4f3fb884b 100644 --- a/dc/db5/text__search_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.md5 +++ b/dc/db5/text__search_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.md5 @@ -1 +1 @@ -7851fd9236c80df0b3133dc482cd4fc5 \ No newline at end of file +a7878b54dbf61ffc62de10bcde25544c \ No newline at end of file diff --git a/dc/db5/text__search_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.svg b/dc/db5/text__search_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.svg index 170d96c94..de1e65480 100644 --- a/dc/db5/text__search_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.svg +++ b/dc/db5/text__search_8cpp_ae66f6b31b5ad750f1fe042a706a4e3d4_cgraph.svg @@ -4,17 +4,17 @@ - - + + main - + Node1 - - -main + + +main @@ -22,76 +22,133 @@ Node2 - -std::string::empty + +std::string::empty Node1->Node2 - - + + Node3 - -std::endl + +std::endl Node1->Node3 - - + + Node4 - -std::string::find + +std::string::find Node1->Node4 - - + + Node5 - -std::getline + +std::getline Node1->Node5 - - + + Node6 - - -std::string::size + + +lower Node1->Node6 - - + + + + + +Node7 + + +std::string::length + + + + + +Node1->Node7 + + + + + +Node8 + + +test + + + + + +Node1->Node8 + + + + + +Node6->Node7 + + + + + +Node8->Node6 + + + + + +Node9 + + +compare + + + + + +Node8->Node9 + + diff --git a/dd/d0f/text__search_8cpp__incl.map b/dd/d0f/text__search_8cpp__incl.map index 6f6d436f6..9203ec605 100644 --- a/dd/d0f/text__search_8cpp__incl.map +++ b/dd/d0f/text__search_8cpp__incl.map @@ -1,6 +1,7 @@ - - - - + + + + + diff --git a/dd/d0f/text__search_8cpp__incl.md5 b/dd/d0f/text__search_8cpp__incl.md5 index 42c8682b7..d4d832ea3 100644 --- a/dd/d0f/text__search_8cpp__incl.md5 +++ b/dd/d0f/text__search_8cpp__incl.md5 @@ -1 +1 @@ -fd3cff2d5c9ddc6ee71f7ee4179cb735 \ No newline at end of file +6d6d29ac173b81ff940f04a7681c3448 \ No newline at end of file diff --git a/dd/d0f/text__search_8cpp__incl.svg b/dd/d0f/text__search_8cpp__incl.svg index b88cf39af..9e701071e 100644 --- a/dd/d0f/text__search_8cpp__incl.svg +++ b/dd/d0f/text__search_8cpp__incl.svg @@ -4,17 +4,17 @@ - + search/text_search.cpp - + Node1 - -search/text_search.cpp + +search/text_search.cpp @@ -22,46 +22,61 @@ Node2 - -cstdlib + +cassert Node1->Node2 - - + + Node3 - -iostream + +cstdlib Node1->Node3 - - + + Node4 - -cstring + +iostream Node1->Node4 - - + + + + + +Node5 + + +cstring + + + + + +Node1->Node5 + + diff --git a/de/d72/geometric__dist_8cpp.html b/de/d72/geometric__dist_8cpp.html index 8d6a092a7..6f64d762e 100644 --- a/de/d72/geometric__dist_8cpp.html +++ b/de/d72/geometric__dist_8cpp.html @@ -168,9 +168,9 @@ Functions

Returns a random number between [0,1].

Returns
A uniformly distributed random number between 0 (included) and 1 (included)
-
42 {
-
43 return static_cast<float>(rand()) / static_cast<float>(RAND_MAX);
-
44}
+
48 {
+
49 return static_cast<float>(rand()) / static_cast<float>(RAND_MAX);
+
50}
T rand(T... args)
Here is the call graph for this function:
@@ -199,12 +199,12 @@ Here is the call graph for this function:

Main function.

Returns
0 on exit
-
232 {
-
233 srand(time(nullptr));
-
234 test(); // run self-test implementations
-
235 return 0;
-
236}
-
static void test()
Self-test implementations.
Definition: geometric_dist.cpp:179
+
256 {
+
257 srand(time(nullptr));
+
258 test(); // run self-test implementations
+
259 return 0;
+
260}
+
static void test()
Self-test implementations.
Definition: geometric_dist.cpp:197
T srand(T... args)
T time(T... args)
@@ -239,34 +239,36 @@ Here is the call graph for this function:
-
150 {
-
151 uint32_t n_tries = 1000000;
-
152 std::vector<float> tries;
-
153 tries.resize(n_tries);
-
154
-
155 float mean = 0.0f;
-
156 for (uint32_t i = 0; i < n_tries; ++i) {
-
157 tries[i] = static_cast<float>(dist.draw_sample());
-
158 mean += tries[i];
-
159 }
-
160
-
161 mean /= static_cast<float>(n_tries);
-
162
-
163 float var = 0.0f;
-
164 for (uint32_t i = 0; i < n_tries; ++i) {
-
165 var += (tries[i] - mean) * (tries[i] - mean);
-
166 }
-
167
-
168 //Unbiased estimate of variance
-
169 var /= static_cast<float>(n_tries - 1);
+
166 {
+
167 uint32_t n_tries = 1000000;
+
168 std::vector<float> tries;
+
169 tries.resize(n_tries);
170
-
171 std::cout << "This value should be near " << dist.expected_value() << ": " << mean << std::endl;
-
172 std::cout << "This value should be near " << dist.variance() << ": " << var << std::endl;
-
173}
+
171 float mean = 0.0f;
+
172 for (uint32_t i = 0; i < n_tries; ++i) {
+
173 tries[i] = static_cast<float>(dist.draw_sample());
+
174 mean += tries[i];
+
175 }
+
176
+
177 mean /= static_cast<float>(n_tries);
+
178
+
179 float var = 0.0f;
+
180 for (uint32_t i = 0; i < n_tries; ++i) {
+
181 var += (tries[i] - mean) * (tries[i] - mean);
+
182 }
+
183
+
184 // Unbiased estimate of variance
+
185 var /= static_cast<float>(n_tries - 1);
+
186
+
187 std::cout << "This value should be near " << dist.expected_value() << ": "
+
188 << mean << std::endl;
+
189 std::cout << "This value should be near " << dist.variance() << ": " << var
+
190 << std::endl;
+
191}
-
float expected_value() const
The expected value of a geometrically distributed random variable X.
Definition: geometric_dist.cpp:65
-
uint32_t draw_sample() const
Generates a (discrete) sample according to the geometrical distribution.
Definition: geometric_dist.cpp:121
-
float variance() const
The variance of a geometrically distributed random variable X.
Definition: geometric_dist.cpp:73
+
float expected_value() const
The expected value of a geometrically distributed random variable X.
Definition: geometric_dist.cpp:71
+
uint32_t draw_sample() const
Generates a (discrete) sample according to the geometrical distribution.
Definition: geometric_dist.cpp:125
+
float variance() const
The variance of a geometrically distributed random variable X.
Definition: geometric_dist.cpp:77
T endl(T... args)
T resize(T... args)
@@ -304,56 +306,62 @@ Here is the call graph for this function:

Self-test implementations.

Returns
void
-
179 {
- -
181
-
182 const float threshold = 1e-3f;
-
183
-
184 std::cout << "Starting tests for p = 0.3..." << std::endl;
-
185 assert(std::abs(dist.expected_value() - 3.33333333f) < threshold);
-
186 assert(std::abs(dist.variance() - 7.77777777f) < threshold);
-
187 assert(std::abs(dist.standard_deviation() - 2.788866755) < threshold);
-
188 assert(std::abs(dist.probability_density(5) - 0.07203) < threshold);
-
189 assert(std::abs(dist.cumulative_distribution(6) - 0.882351) < threshold);
-
190 assert(std::abs(dist.inverse_cumulative_distribution(dist.cumulative_distribution(8)) - 8) < threshold);
-
191 assert(std::abs(dist.range_tries() - 1.0f) < threshold);
-
192 assert(std::abs(dist.range_tries(3) - 0.49f) < threshold);
-
193 assert(std::abs(dist.range_tries(5, 11) - 0.2203267f) < threshold);
-
194 std::cout << "All tests passed" << std::endl;
-
195 sample_test(dist);
-
196
- -
198
-
199 std::cout << "Starting tests for p = 0.5..." << std::endl;
-
200 assert(std::abs(dist.expected_value() - 2.0f) < threshold);
-
201 assert(std::abs(dist.variance() - 2.0f) < threshold);
-
202 assert(std::abs(dist.standard_deviation() - 1.4142135f) < threshold);
-
203 assert(std::abs(dist.probability_density(5) - 0.03125) < threshold);
-
204 assert(std::abs(dist.cumulative_distribution(6) - 0.984375) < threshold);
-
205 assert(std::abs(dist.inverse_cumulative_distribution(dist.cumulative_distribution(8)) - 8) < threshold);
-
206 assert(std::abs(dist.range_tries() - 1.0f) < threshold);
-
207 assert(std::abs(dist.range_tries(3) - 0.25f) < threshold);
-
208 assert(std::abs(dist.range_tries(5, 11) - 0.062011f) < threshold);
-
209 std::cout << "All tests passed" << std::endl;
-
210 sample_test(dist);
-
211
- -
213
-
214 std::cout << "Starting tests for p = 0.8..." << std::endl;
-
215 assert(std::abs(dist.expected_value() - 1.25f) < threshold);
-
216 assert(std::abs(dist.variance() - 0.3125f) < threshold);
-
217 assert(std::abs(dist.standard_deviation() - 0.559016f) < threshold);
-
218 assert(std::abs(dist.probability_density(5) - 0.00128) < threshold);
-
219 assert(std::abs(dist.cumulative_distribution(6) - 0.999936) < threshold);
-
220 assert(std::abs(dist.inverse_cumulative_distribution(dist.cumulative_distribution(8)) - 8) < threshold);
-
221 assert(std::abs(dist.range_tries() - 1.0f) < threshold);
-
222 assert(std::abs(dist.range_tries(3) - 0.04f) < threshold);
-
223 assert(std::abs(dist.range_tries(5, 11) - 0.00159997f) < threshold);
-
224 std::cout << "All tests have successfully passed!" << std::endl;
-
225 sample_test(dist);
-
226}
-
A class to model the geometric distribution.
Definition: geometric_dist.cpp:50
-
void sample_test(const probability::geometric_dist::geometric_distribution &dist)
Tests the sampling method of the geometric distribution.
Definition: geometric_dist.cpp:150
+
197 {
+ +
199
+
200 const float threshold = 1e-3f;
+
201
+
202 std::cout << "Starting tests for p = 0.3..." << std::endl;
+
203 assert(std::abs(dist.expected_value() - 3.33333333f) < threshold);
+
204 assert(std::abs(dist.variance() - 7.77777777f) < threshold);
+
205 assert(std::abs(dist.standard_deviation() - 2.788866755) < threshold);
+
206 assert(std::abs(dist.probability_density(5) - 0.07203) < threshold);
+
207 assert(std::abs(dist.cumulative_distribution(6) - 0.882351) < threshold);
+
208 assert(std::abs(dist.inverse_cumulative_distribution(
+
209 dist.cumulative_distribution(8)) -
+
210 8) < threshold);
+
211 assert(std::abs(dist.range_tries() - 1.0f) < threshold);
+
212 assert(std::abs(dist.range_tries(3) - 0.49f) < threshold);
+
213 assert(std::abs(dist.range_tries(5, 11) - 0.2203267f) < threshold);
+
214 std::cout << "All tests passed" << std::endl;
+
215 sample_test(dist);
+
216
+ +
218
+
219 std::cout << "Starting tests for p = 0.5..." << std::endl;
+
220 assert(std::abs(dist.expected_value() - 2.0f) < threshold);
+
221 assert(std::abs(dist.variance() - 2.0f) < threshold);
+
222 assert(std::abs(dist.standard_deviation() - 1.4142135f) < threshold);
+
223 assert(std::abs(dist.probability_density(5) - 0.03125) < threshold);
+
224 assert(std::abs(dist.cumulative_distribution(6) - 0.984375) < threshold);
+
225 assert(std::abs(dist.inverse_cumulative_distribution(
+
226 dist.cumulative_distribution(8)) -
+
227 8) < threshold);
+
228 assert(std::abs(dist.range_tries() - 1.0f) < threshold);
+
229 assert(std::abs(dist.range_tries(3) - 0.25f) < threshold);
+
230 assert(std::abs(dist.range_tries(5, 11) - 0.062011f) < threshold);
+
231 std::cout << "All tests passed" << std::endl;
+
232 sample_test(dist);
+
233
+ +
235
+
236 std::cout << "Starting tests for p = 0.8..." << std::endl;
+
237 assert(std::abs(dist.expected_value() - 1.25f) < threshold);
+
238 assert(std::abs(dist.variance() - 0.3125f) < threshold);
+
239 assert(std::abs(dist.standard_deviation() - 0.559016f) < threshold);
+
240 assert(std::abs(dist.probability_density(5) - 0.00128) < threshold);
+
241 assert(std::abs(dist.cumulative_distribution(6) - 0.999936) < threshold);
+
242 assert(std::abs(dist.inverse_cumulative_distribution(
+
243 dist.cumulative_distribution(8)) -
+
244 8) < threshold);
+
245 assert(std::abs(dist.range_tries() - 1.0f) < threshold);
+
246 assert(std::abs(dist.range_tries(3) - 0.04f) < threshold);
+
247 assert(std::abs(dist.range_tries(5, 11) - 0.00159997f) < threshold);
+
248 std::cout << "All tests have successfully passed!" << std::endl;
+
249 sample_test(dist);
+
250}
+
A class to model the geometric distribution.
Definition: geometric_dist.cpp:55
+
void sample_test(const probability::geometric_dist::geometric_distribution &dist)
Tests the sampling method of the geometric distribution.
Definition: geometric_dist.cpp:165
Here is the call graph for this function:
diff --git a/df/d34/classprobability_1_1windowed__median_1_1_windowed_median.html b/df/d34/classprobability_1_1windowed__median_1_1_windowed_median.html index 14c856473..4702f7409 100644 --- a/df/d34/classprobability_1_1windowed__median_1_1_windowed_median.html +++ b/df/d34/classprobability_1_1windowed__median_1_1_windowed_median.html @@ -181,7 +181,7 @@ const size_type _windowSiz -
122: _windowSize(windowSize){};
+
123: _windowSize(windowSize){};
const size_type _windowSize
sliding window size
Definition: windowed_median.cpp:57
@@ -233,16 +233,17 @@ const size_type _windowSiz
103 }
104
105 /// However, if the erased value is on the right branch or the median
-
106 /// itself, and the number of elements is odd, the new median will be the
-
107 /// left child of the current one
+
106 /// itself, and the number of elements is odd, the new median will be
+
107 /// the left child of the current one
108 else if (value >= *_itMedian && sz % 2 != 0) {
109 --_itMedian; // O(1) - traversing one step to the left child
110 }
111
-
112 /// Find the (first) position of the value we want to erase, and erase it
-
113 const auto it = _sortedValues.find(value); // O(logN)
-
114 _sortedValues.erase(it); // O(logN)
-
115 }
+
112 /// Find the (first) position of the value we want to erase, and erase
+
113 /// it
+
114 const auto it = _sortedValues.find(value); // O(logN)
+
115 _sortedValues.erase(it); // O(logN)
+
116 }
std::multiset< int >::const_iterator _itMedian
Definition: windowed_median.cpp:62
std::multiset< int > _sortedValues
Definition: windowed_median.cpp:59
@@ -274,12 +275,12 @@ const size_type _windowSiz

Gets the median of the values in the sliding window.

Returns
Median of sliding window. For even window size return the average between the two values in the middle

O(1)

-
147 {
-
148 if (_sortedValues.size() % 2 != 0) {
-
149 return *_itMedian; // O(1)
-
150 }
-
151 return 0.5f * *_itMedian + 0.5f * *next(_itMedian); /// O(1)
-
152 }
+
148 {
+
149 if (_sortedValues.size() % 2 != 0) {
+
150 return *_itMedian; // O(1)
+
151 }
+
152 return 0.5f * *_itMedian + 0.5f * *next(_itMedian); /// O(1)
+
153 }
T next(T... args)
@@ -312,18 +313,18 @@ const size_type _windowSiz

Sort window - O(NlogN)

Find value in the middle - O(N)

O(N)

-
160 {
-
161 auto window = _window;
-
162 window.sort(); /// Sort window - O(NlogN)
-
163 auto median =
-
164 *next(window.begin(),
-
165 window.size() / 2); /// Find value in the middle - O(N)
-
166 if (window.size() % 2 != 0) {
-
167 return median;
-
168 }
-
169 return 0.5f * median +
-
170 0.5f * *next(window.begin(), window.size() / 2 - 1); /// O(N)
-
171 }
+
161 {
+
162 auto window = _window;
+
163 window.sort(); /// Sort window - O(NlogN)
+
164 auto median =
+
165 *next(window.begin(),
+
166 window.size() / 2); /// Find value in the middle - O(N)
+
167 if (window.size() % 2 != 0) {
+
168 return median;
+
169 }
+
170 return 0.5f * median +
+
171 0.5f * *next(window.begin(), window.size() / 2 - 1); /// O(N)
+
172 }
Window _window
a sliding window of values along the stream
Definition: windowed_median.cpp:58
T sort(T... args)
@@ -370,19 +371,19 @@ Here is the call graph for this function:

If exceeding size of window, pop from its left side

Erase from the multi-value BST the window left side value

Pop the left side value from the window - O(1)

-
128 {
-
129
+
129 {
130 /// Push new value to the back of the sliding window - O(1)
131 _window.push_back(value);
132 insertToSorted(value); // Insert value to the multi-value BST - O(logN)
-
133 if (_window.size() > _windowSize) { /// If exceeding size of window, pop
-
134 /// from its left side
-
135 eraseFromSorted(_window.front()); /// Erase from the multi-value BST
-
136 /// the window left side value
-
137 _window
-
138 .pop_front(); /// Pop the left side value from the window - O(1)
-
139 }
-
140 }
+
133 if (_window.size() > _windowSize) { /// If exceeding size of window,
+
134 /// pop from its left side
+ +
136 _window.front()); /// Erase from the multi-value BST
+
137 /// the window left side value
+
138 _window.pop_front(); /// Pop the left side value from the window -
+
139 /// O(1)
+
140 }
+
141 }
void insertToSorted(int value)
Inserts a value to a sorted multi-value BST.
Definition: windowed_median.cpp:69
void eraseFromSorted(int value)
Erases a value from a sorted multi-value BST.
Definition: windowed_median.cpp:95
T front(T... args)
diff --git a/globals_func_l.html b/globals_func_l.html index 8c63789bc..421bce081 100644 --- a/globals_func_l.html +++ b/globals_func_l.html @@ -98,6 +98,7 @@ $(document).ready(function(){initNavTree('globals_func_l.html',''); initResizabl
  • LenghtLine() : smallest_circle.cpp
  • levelOrder() : avltree.cpp
  • LinearSearch() : linear_search.cpp
  • +
  • lower() : text_search.cpp
  • lps() : longest_palindromic_subsequence.cpp
  • lu_decomposition() : lu_decomposition.h
  • diff --git a/globals_func_t.html b/globals_func_t.html index 2ad58d13d..5d8e2b008 100644 --- a/globals_func_t.html +++ b/globals_func_t.html @@ -94,7 +94,7 @@ $(document).ready(function(){initNavTree('globals_func_t.html',''); initResizabl

    - t -

    diff --git a/globals_l.html b/globals_l.html index ed10e19b9..50ce295d0 100644 --- a/globals_l.html +++ b/globals_l.html @@ -101,6 +101,7 @@ $(document).ready(function(){initNavTree('globals_l.html',''); initResizable();
  • LinearSearch() : linear_search.cpp
  • link : hash_search.cpp
  • ll : matrix_exponentiation.cpp
  • +
  • lower() : text_search.cpp
  • lps() : longest_palindromic_subsequence.cpp
  • lu_decomposition() : lu_decomposition.h
  • diff --git a/globals_p.html b/globals_p.html index 73d842724..0e47ba48a 100644 --- a/globals_p.html +++ b/globals_p.html @@ -105,8 +105,8 @@ $(document).ready(function(){initNavTree('globals_p.html',''); initResizable();
  • pop() : paranthesis_matching.cpp
  • power() : power_for_huge_numbers.cpp, matrix_exponentiation.cpp
  • predict_OLS_regressor() : ordinary_least_squares_regressor.cpp
  • -
  • PRIME : rabin_karp.cpp
  • prime : primes_up_to_billion.cpp
  • +
  • PRIME : rabin_karp.cpp
  • prime_factorization() : prime_factorization.cpp
  • prime_numbers : prime_factorization.cpp
  • primes() : prime_numbers.cpp
  • diff --git a/globals_t.html b/globals_t.html index 4019890bc..0a38e3dfa 100644 --- a/globals_t.html +++ b/globals_t.html @@ -94,7 +94,7 @@ $(document).ready(function(){initNavTree('globals_t.html',''); initResizable();

    - t -

    • ternary_search() : ternary_search.cpp
    • -
    • test() : rat_maze.cpp, subarray_sum.cpp, subset_sum.cpp, wildcard_matching.cpp, count_of_set_bits.cpp, count_of_trailing_ciphers_in_factorial_n.cpp, hamming_distance.cpp, caesar_cipher.cpp, elliptic_curve_key_exchange.cpp, morse_code.cpp, vigenere_cipher.cpp, xor_cipher.cpp, list_array.cpp, reverse_a_linked_list.cpp, sparse_table.cpp, trie_tree.cpp, trie_using_hashmap.cpp, karatsuba_algorithm_for_fast_multiplication.cpp, 0_1_knapsack.cpp, abbreviation.cpp, coin_change_topdown.cpp, cut_rod.cpp, house_robber.cpp, longest_increasing_subsequence.cpp, longest_palindromic_subsequence.cpp, minimum_edit_distance.cpp, palindrome_partitioning.cpp, shortest_common_supersequence.cpp, word_break.cpp, jarvis_algorithm.cpp, connected_components_with_dsu.cpp, is_graph_bipartite.cpp, jumpgame.cpp, md5.cpp, sha1.cpp, gram_schmidt.cpp, neural_network.cpp, armstrong_number.cpp, check_amicable_pair.cpp, double_factorial.cpp, fibonacci.cpp, fibonacci_matrix_exponentiation.cpp, fibonacci_sum.cpp, finding_number_of_digits_in_a_number.cpp, inv_sqrt.cpp, largest_power.cpp, lcm_sum.cpp, modular_division.cpp, modular_exponentiation.cpp, n_bonacci.cpp, n_choose_r.cpp, sum_of_binomial_coefficient.cpp, sum_of_digits.cpp, vector_cross_product.cpp, rungekutta.cpp, inorder_successor_of_bst.cpp, trie_multiple_search.cpp, smallest_circle.cpp, geometric_dist.cpp, windowed_median.cpp, persistent_seg_tree_lazy_prop.cpp, floyd_cycle_detection_algo.cpp, median_search.cpp, saddleback_search.cpp, sublist_search.cpp, bogo_sort.cpp, count_inversions.cpp, cycle_sort.cpp, dnf_sort.cpp, gnome_sort.cpp, heap_sort.cpp, merge_insertion_sort.cpp, pancake_sort.cpp, random_pivot_quick_sort.cpp, recursive_bubble_sort.cpp, selection_sort_recursive.cpp, strand_sort.cpp, wave_sort.cpp, wiggle_sort.cpp, horspool.cpp, manacher_algorithm.cpp, z_function.cpp
    • +
    • test() : rat_maze.cpp, subarray_sum.cpp, subset_sum.cpp, wildcard_matching.cpp, count_of_set_bits.cpp, count_of_trailing_ciphers_in_factorial_n.cpp, hamming_distance.cpp, caesar_cipher.cpp, elliptic_curve_key_exchange.cpp, morse_code.cpp, vigenere_cipher.cpp, xor_cipher.cpp, list_array.cpp, reverse_a_linked_list.cpp, sparse_table.cpp, trie_tree.cpp, trie_using_hashmap.cpp, karatsuba_algorithm_for_fast_multiplication.cpp, 0_1_knapsack.cpp, abbreviation.cpp, coin_change_topdown.cpp, cut_rod.cpp, house_robber.cpp, longest_increasing_subsequence.cpp, longest_palindromic_subsequence.cpp, minimum_edit_distance.cpp, palindrome_partitioning.cpp, shortest_common_supersequence.cpp, word_break.cpp, jarvis_algorithm.cpp, connected_components_with_dsu.cpp, is_graph_bipartite.cpp, jumpgame.cpp, md5.cpp, sha1.cpp, gram_schmidt.cpp, neural_network.cpp, armstrong_number.cpp, check_amicable_pair.cpp, double_factorial.cpp, fibonacci.cpp, fibonacci_matrix_exponentiation.cpp, fibonacci_sum.cpp, finding_number_of_digits_in_a_number.cpp, inv_sqrt.cpp, largest_power.cpp, lcm_sum.cpp, modular_division.cpp, modular_exponentiation.cpp, n_bonacci.cpp, n_choose_r.cpp, sum_of_binomial_coefficient.cpp, sum_of_digits.cpp, vector_cross_product.cpp, rungekutta.cpp, inorder_successor_of_bst.cpp, trie_multiple_search.cpp, smallest_circle.cpp, geometric_dist.cpp, windowed_median.cpp, persistent_seg_tree_lazy_prop.cpp, floyd_cycle_detection_algo.cpp, median_search.cpp, saddleback_search.cpp, sublist_search.cpp, text_search.cpp, bogo_sort.cpp, count_inversions.cpp, cycle_sort.cpp, dnf_sort.cpp, gnome_sort.cpp, heap_sort.cpp, merge_insertion_sort.cpp, pancake_sort.cpp, random_pivot_quick_sort.cpp, recursive_bubble_sort.cpp, selection_sort_recursive.cpp, strand_sort.cpp, wave_sort.cpp, wiggle_sort.cpp, horspool.cpp, manacher_algorithm.cpp, z_function.cpp
    • test1() : hill_cipher.cpp, tree_234.cpp, hamiltons_cycle.cpp, adaline_learning.cpp, kohonen_som_topology.cpp, kohonen_som_trace.cpp, large_factorial.cpp, sum_of_digits.cpp, brent_method_extrema.cpp, durand_kerner_roots.cpp, golden_search_extrema.cpp, lu_decompose.cpp, qr_eigen_values.cpp, iterative_tree_traversals.cpp
    • test2() : hill_cipher.cpp, tree_234.cpp, hamiltons_cycle.cpp, adaline_learning.cpp, kohonen_som_topology.cpp, kohonen_som_trace.cpp, large_factorial.cpp, sum_of_digits.cpp, brent_method_extrema.cpp, durand_kerner_roots.cpp, golden_search_extrema.cpp, lu_decompose.cpp, qr_eigen_values.cpp, iterative_tree_traversals.cpp, smallest_circle.cpp
    • test3() : hamiltons_cycle.cpp, adaline_learning.cpp, kohonen_som_topology.cpp, kohonen_som_trace.cpp, brent_method_extrema.cpp, golden_search_extrema.cpp, iterative_tree_traversals.cpp, smallest_circle.cpp
    • diff --git a/navtreedata.js b/navtreedata.js index e3995d4c7..cca1295ef 100644 --- a/navtreedata.js +++ b/navtreedata.js @@ -141,8 +141,8 @@ var NAVTREEINDEX = "d9/d44/magic__number_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4", "da/db8/count__of__set__bits_8cpp.html#aa8dca7b867074164d5f45b0f3851269d", "dc/d14/wildcard__matching_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4", -"dd/d9c/classmachine__learning_1_1aystar__search_1_1_eight_puzzle.html#ade14b0e1a88543b91426e2008e4d0f99", -"df/dd5/binary__search_8cpp.html#a78df202b718cfe3c2c9216979b08298d" +"dd/d9c/classmachine__learning_1_1aystar__search_1_1_eight_puzzle.html#ad45fde095ac00effe1fe00b1d85ff9c7", +"df/dd0/queue__using__two__stacks_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4" ]; var SYNCONMSG = 'click to disable panel synchronisation'; diff --git a/navtreeindex0.js b/navtreeindex0.js index a40529da6..0a1bbcae8 100644 --- a/navtreeindex0.js +++ b/navtreeindex0.js @@ -6,23 +6,23 @@ var NAVTREEINDEX0 = "cpp/algorithm/adjacent_difference.html":[9,0,90,18], "cpp/algorithm/adjacent_find.html":[9,0,90,19], "cpp/algorithm/all_any_none_of.html":[9,0,90,24], -"cpp/algorithm/all_any_none_of.html":[9,0,90,22], "cpp/algorithm/all_any_none_of.html":[9,0,90,299], +"cpp/algorithm/all_any_none_of.html":[9,0,90,22], "cpp/algorithm/binary_search.html":[9,0,90,64], "cpp/algorithm/bsearch.html":[9,0,90,67], "cpp/algorithm/copy.html":[9,0,90,80], "cpp/algorithm/copy.html":[9,0,90,78], "cpp/algorithm/copy_backward.html":[9,0,90,79], "cpp/algorithm/copy_n.html":[9,0,90,81], -"cpp/algorithm/count.html":[9,0,90,86], "cpp/algorithm/count.html":[9,0,90,85], +"cpp/algorithm/count.html":[9,0,90,86], "cpp/algorithm/equal.html":[9,0,90,102], "cpp/algorithm/equal_range.html":[9,0,90,103], "cpp/algorithm/fill.html":[9,0,90,132], "cpp/algorithm/fill_n.html":[9,0,90,133], +"cpp/algorithm/find.html":[9,0,90,138], "cpp/algorithm/find.html":[9,0,90,134], "cpp/algorithm/find.html":[9,0,90,137], 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