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https://github.com/TheAlgorithms/C-Plus-Plus.git
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199 lines
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HTML
199 lines
10 KiB
HTML
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<title>Algorithms_in_C++: Class Members - Functions</title>
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<div id="projectname">Algorithms_in_C++
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 <span id="projectnumber">1.0.0</span>
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</div>
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<div id="projectbrief">Set of algorithms implemented in C++.</div>
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<div class="contents">
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<h3><a id="index_s"></a>- s -</h3><ul>
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<li>save_model()
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: <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a4f14e473bb0722c6490b9dc8da5982aa">machine_learning::neural_network::NeuralNetwork</a>
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</li>
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<li>search()
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: <a class="el" href="d1/def/classdata__structures_1_1linked__list_1_1list.html#a098be172c737f236763afdb8cada4835">data_structures::linked_list::list</a>
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, <a class="el" href="d0/d3e/classdata__structures_1_1trie.html#a961eb5d576d2420f2036009154397c63">data_structures::trie</a>
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, <a class="el" href="d3/d26/classdata__structures_1_1trie__using__hashmap_1_1_trie.html#ad71eb24207c28b546631802dba97310f">data_structures::trie_using_hashmap::Trie</a>
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, <a class="el" href="dd/d2f/class_trie.html#a411e77126930a0942dd7b65e96b15206">Trie</a>
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</li>
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<li>searchElement()
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: <a class="el" href="d4/d90/classdata__structures_1_1_skip_list.html#a2249e3ab2f8a0f2334b90635202de4f2">data_structures::SkipList</a>
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</li>
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<li>SearchFreqSuggestions()
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: <a class="el" href="d0/d5f/classoperations__on__datastructures_1_1trie__operations_1_1_tnode.html#a7c5ab271d8042540f64ef16d259d1503">operations_on_datastructures::trie_operations::Tnode</a>
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</li>
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<li>SearchPresence()
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: <a class="el" href="d0/d5f/classoperations__on__datastructures_1_1trie__operations_1_1_tnode.html#a4a624fcdf3c3beb2025d69f2cfda8023">operations_on_datastructures::trie_operations::Tnode</a>
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</li>
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<li>SearchSuggestions()
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: <a class="el" href="d0/d5f/classoperations__on__datastructures_1_1trie__operations_1_1_tnode.html#a18b70172ca4fb2811dbfb9a86e48b34c">operations_on_datastructures::trie_operations::Tnode</a>
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</li>
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<li>SelectionTop_3()
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: <a class="el" href="d0/d5f/classoperations__on__datastructures_1_1trie__operations_1_1_tnode.html#aacafb8c9f3ebac7ac6c01d9645bb67b6">operations_on_datastructures::trie_operations::Tnode</a>
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</li>
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<li>set_node_val()
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: <a class="el" href="d1/d51/classrange__queries_1_1heavy__light__decomposition_1_1_tree.html#a04cd96efaba147b19d3afc769b90ff70">range_queries::heavy_light_decomposition::Tree< X ></a>
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</li>
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<li>set_sret_init()
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: <a class="el" href="d9/d35/classrange__queries_1_1heavy__light__decomposition_1_1_s_g.html#ad3b942be27a1b0fe3cff6cb6edf01294">range_queries::heavy_light_decomposition::SG< X ></a>
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</li>
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<li>SetChild()
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: <a class="el" href="dd/d40/classdata__structures_1_1tree__234_1_1_node.html#ab4e5f7b7b260bb81d9441652cc124c74">data_structures::tree_234::Node</a>
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</li>
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<li>SetCount()
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: <a class="el" href="dd/d40/classdata__structures_1_1tree__234_1_1_node.html#af564fd4b0992fff69f90de201542d3d1">data_structures::tree_234::Node</a>
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</li>
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<li>SetItem()
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: <a class="el" href="dd/d40/classdata__structures_1_1tree__234_1_1_node.html#aaa89a3016b5dd1be3552321c34343cbc">data_structures::tree_234::Node</a>
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</li>
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<li>SG()
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: <a class="el" href="d9/d35/classrange__queries_1_1heavy__light__decomposition_1_1_s_g.html#afba5c1225ba04c0025c7786c09ff28f1">range_queries::heavy_light_decomposition::SG< X ></a>
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</li>
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<li>show()
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: <a class="el" href="d5/dab/structdata__structures_1_1list__array_1_1list.html#ae5c15d93819c4e437ebb7a1b41f2d594">data_structures::list_array::list</a>
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</li>
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<li>single_predict()
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: <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#ac130322a5abb1ff763b7c1a55405a35e">machine_learning::neural_network::NeuralNetwork</a>
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</li>
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<li>size()
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: <a class="el" href="d9/dde/classbinary__search__tree.html#a564fe43e7e8f7ecb6f10667a70fbc6f3">binary_search_tree< T ></a>
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, <a class="el" href="d8/d28/classrange__queries_1_1per_seg_tree.html#a0fe4e431f3e09c274ecd7d2d58dcb865">range_queries::perSegTree</a>
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</li>
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<li>SkipList()
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: <a class="el" href="d4/d90/classdata__structures_1_1_skip_list.html#a7ffc3688725b9d1ec6e5bb881a6e2ae4">data_structures::SkipList</a>
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</li>
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<li>Solution()
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: <a class="el" href="da/d02/classmachine__learning_1_1aystar__search_1_1_ay_star_search.html#a8687882bdb604ab367da6e8fe42a35c9">machine_learning::aystar_search::AyStarSearch< Puzzle ></a>
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</li>
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<li>sort()
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: <a class="el" href="d5/dab/structdata__structures_1_1list__array_1_1list.html#a39a712c8413b0d7861695ec019474469">data_structures::list_array::list</a>
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</li>
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<li>SplitNode()
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: <a class="el" href="d3/d95/classdata__structures_1_1tree__234_1_1_tree234.html#a370b625ca9f16bbef2b65e024ef78ea9">data_structures::tree_234::Tree234</a>
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</li>
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<li>stack()
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: <a class="el" href="d1/dc2/classstack.html#a5b64337ec34b12e98458bb9b9d5f8f83">stack< Type ></a>
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</li>
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<li>startwith()
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: <a class="el" href="d3/d26/classdata__structures_1_1trie__using__hashmap_1_1_trie.html#af3aee573fbabd2c1510c0f74f842dd17">data_structures::trie_using_hashmap::Trie</a>
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</li>
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<li>std()
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: <a class="el" href="d7/d7c/classstatistics_1_1stats__computer1.html#af57e942d49f4fd70f059f224b4ac07e1">statistics::stats_computer1< T ></a>
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, <a class="el" href="d8/dab/classstatistics_1_1stats__computer2.html#acf2e84df4fc386bb3295016ef8fd156e">statistics::stats_computer2< T ></a>
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</li>
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<li>succ()
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: <a class="el" href="de/d9d/classdata__structures_1_1linked__list_1_1link.html#a28781355a468a1b95278ffe6277f3b6c">data_structures::linked_list::link</a>
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</li>
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<li>SuggestAutocomplete()
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: <a class="el" href="d0/d5f/classoperations__on__datastructures_1_1trie__operations_1_1_tnode.html#a097913c4badec2b60d50a171ecc299fe">operations_on_datastructures::trie_operations::Tnode</a>
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</li>
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<li>SuggestFreqAutocomplete()
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: <a class="el" href="d0/d5f/classoperations__on__datastructures_1_1trie__operations_1_1_tnode.html#a9e556f52c837190ecf4265b1f05cfe9c">operations_on_datastructures::trie_operations::Tnode</a>
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</li>
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<li>sum()
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: <a class="el" href="dd/d91/class_fenwick_tree.html#ade1d6a3d49af9d9df33e2fb26cab1699">FenwickTree</a>
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</li>
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<li>sum_range()
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: <a class="el" href="dd/d91/class_fenwick_tree.html#a115ff5c548b429b737ea09f75817d1f9">FenwickTree</a>
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</li>
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<li>summary()
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: <a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a61d30113d13304c664057118b92a5931">machine_learning::neural_network::NeuralNetwork</a>
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</li>
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</ul>
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</div><!-- contents -->
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</div><!-- doc-content -->
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<!-- start footer part -->
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<li class="footer">Generated by <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.9.1 </li>
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