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@@ -100,6 +100,7 @@ $(document).ready(function(){initNavTree('functions_func_e.html',''); initResiza
<li>enQueue()&#160;:&#160;<a class="el" href="db/da9/classqueue.html#a592c0580551ec0d3b4d43e8198d8a377">queue&lt; Kind &gt;</a></li>
<li>Entry()&#160;:&#160;<a class="el" href="d9/dde/structdouble__hashing_1_1_entry.html#a287b92112b6b43b34808a93778873475">double_hashing::Entry</a>, <a class="el" href="db/d19/structlinear__probing_1_1_entry.html#a2139f643a3caf074da1db8a9fa16fa77">linear_probing::Entry</a>, <a class="el" href="da/dd1/structquadratic__probing_1_1_entry.html#a9df1118010a233d13ab3dd699bcb513e">quadratic_probing::Entry</a></li>
<li>erase()&#160;:&#160;<a class="el" href="d1/def/classdata__structures_1_1linked__list_1_1list.html#a1fb1792ab867dc26639eef368a56989e">data_structures::linked_list::list</a></li>
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<li>evaluate()&#160;:&#160;<a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#aec648ea4f40bd71123b5f907a681dd8e">machine_learning::neural_network::NeuralNetwork</a></li>
<li>evaluate_from_csv()&#160;:&#160;<a class="el" href="d4/df4/classmachine__learning_1_1neural__network_1_1_neural_network.html#a36494e26ff36d6e15c1022bb9a1ee848">machine_learning::neural_network::NeuralNetwork</a></li>
<li>extractMin()&#160;:&#160;<a class="el" href="d2/d05/class_min_heap.html#a4014f1edaed0bd7db0c0d2ca53228980">MinHeap</a></li>