Algorithm Lecture Series: NP-completeness part 1 (P vs NP vs NP-hard vs NP-complete problems)

This lecture explains about P vs NP problems, Satisfiability problem. It also touches the concept of NP-hard and NP-complete problems. Video Timestamps: 01:05 – Classification of Algorithms (Polynomial Time vs. Exponential Time) 01:43 – Definition of Polynomial Time Complexity 03:16 – Examples of Non-Polynomial Problems (0/1 Knapsack, N-Queens) 06:21 – Strategy for Handling Hard Problems (Computational Reduction) 11:21 – Understanding Non-Deterministic Algorithms 17:43 – Defining P (Deterministic) vs. NP (Non-Deterministic) 22:56 – Introduction to the Satisfiability (SAT) Problem 38:35 – Polynomial Time Transformation and Reduction ( 43:30 – Definition of NP-Hard Problems 52:49 – Defining NP-Complete Problems (The intersection of NP-Hard and NP) #Algorithms #DataStructures #ComplexityAnalysis #BigO #Recursion #DynamicProgramming #Backtracking #BranchAndBound #NPComplete #NPHard #PvsNP #ComputerScience #Programming #CodingInterview