![]() if B is NP-Complete and B ≤ P C For C in NP, then C is NP-Complete. If the 2nd condition is only satisfied then the problem is called NP-Hard.īut it is not possible to reduce every NP problem into another NP problem to show its NP-Completeness all the time i.e., to show a problem is NP-complete then prove that the problem is in NP and any NP-Complete problem is reducible to that i.e. (B is polynomial-time reducible to C is denoted as ≤ P C) All other problems in NP class can be polynomial-time reducible to that.Time complexity of recursive Fibonacci program.Measure execution time with high precision in C/C++.Time complexities of different data structures.Difference between Recursion and Iteration.Analysis of algorithms | little o and little omega notations.Difference between NP hard and NP complete problem.Analysis of Algorithm | Set 5 (Amortized Analysis Introduction).Analysis of Algorithms | Set 5 (Practice Problems).Difference between Big Oh, Big Omega and Big Theta.Analysis of Algorithms | Big-O analysis.Analysis of different sorting techniques.Analysis of Algorithms | Set 4 (Analysis of Loops).Complexity of different operations in Binary tree, Binary Search Tree and AVL tree.Understanding Time Complexity with Simple Examples. ![]() Analysis of Algorithm | Set 4 (Solving Recurrences).Practice Questions on Time Complexity Analysis.Analysis of Algorithms | Set 2 (Worst, Average and Best Cases).Analysis of Algorithms | Set 3 (Asymptotic Notations).Analysis of Algorithms | Set 1 (Asymptotic Analysis).ISRO CS Syllabus for Scientist/Engineer Exam.ISRO CS Original Papers and Official Keys.GATE CS Original Papers and Official Keys.
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