4.2 - Principles of Optimality - ADA

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#Algorithms #AlgorithmBasics #MathematicsForAlgorithms #SetsAndFunctions #VectorsAndMatrices #LinearEquations #LinearInequalities
#AlgorithmAnalysis #EfficientAlgorithm #BestCaseAnalysis #WorstCaseAnalysis #AmortizedAnalysis #AsymptoticNotations #SortingAlgorithms #BubbleSort #SelectionSort #InsertionSort #ShellSort #HeapSort #BucketSort #RadixSort #CountingSort
#DivideAndConquer #RecurrenceRelations #BinarySearch #MaxMinProblem #MergeSort #QuickSort #MatrixMultiplication #Exponentiation
#DynamicProgramming #OptimalityPrinciple #BinomialCoefficient #MakingChangeProblem #AssemblyLineScheduling #KnapsackProblem #ShortestPath #MatrixChainMultiplication #LongestCommonSubsequence
#GreedyAlgorithms #ActivitySelection #GreedyStrategy #MinimumSpanningTree #KruskalAlgorithm #PrimAlgorithm #ShortestPathInGraphs #JobScheduling #HuffmanCoding
#GraphTheory #UndirectedGraph #DirectedGraph #GraphTraversal #DepthFirstSearch #BreadthFirstSearch #TopologicalSort #ConnectedComponents
#Backtracking #BranchAndBound #EightQueensProblem #TSP #MinimaxPrinciple
#StringMatching #NaiveStringMatching #RabinKarp #FiniteAutomata #KnuthMorrisPratt
#NPCompleteness #ClassPAndNP #PolynomialReduction #NPHard #ApproximationAlgorithms #RandomizedAlgorithms #PSpaceProblems