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Lecture Analytic combinatorics (Part 1) - Chapter 1: Analysis of algorithms

Chapter 1: Analysis of Algorithms considers the general motivations for algorithmic analysis and relationships among various approaches to studying performance characteristics of algorithms. This chapter includes contents: History and motivation, a scientific approach, example: Quicksort, resources. | ANALYTIC COMBINATORICS PART ONE http aofa.cs.princeton.edu 1. Analysis of Algorithms ANALYTIC COMBINATORICS PART ONE http aofa.cs.princeton.edu 1. Analysis of Algorithms History and motivation A scientific approach Example Quicksort Resources la.AofA.History Why Analyze an Algorithm 1. Classify problems and algorithms by difficulty. 2. Predict performance compare algorithms tune parameters. 3. Better understand and improve implementations and algorithms. Intellectual challenge AofA is even more interesting than programming