John Wiley & Sons, Fachbücher, Algorithms for Dummies (Englisch, Luca Massaron, John P. Mueller, 2022)

Introduction 1 Part 1: Getting Started with Algorithms 7 Chapter 1: Introducing Algorithms 9 Chapter 2: Considering Algorithm Design 23 Chapter 3: Working with Google Colab 41 Chapter 4: Performing Essential Data Manipulations Using Python 59 Chapter 5: Developing a Matrix Computation Class 79 Part 2: Understanding the Need to Sort and Search 97 Chapter 6: Structuring Data 99 Chapter 7: Arranging and Searching Data 117 Part 3: Exploring the World of Graphs 139 Chapter 8: Understanding Graph Basics 141 Chapter 9: Reconnecting the Dots 161 Chapter 10: Discovering Graph Secrets 195 Chapter 11: Getting the Right Web page 207 Part 4: Wrangling Big Data 223 Chapter 12: Managing Big Data 225 Chapter 13: Parallelizing Operations 249 Chapter 14: Compressing and Concealing Data 267 Part 5: Challenging Difficult Problems 289 Chapter 15: Working with Greedy Algorithms 291 Chapter 16: Relying on Dynamic Programming 307 Chapter 17: Using Randomized Algorithms 331 Chapter 18: Performing Local Search 349 Chapter 19: Employing Linear Programming 367 Chapter 20: Considering Heuristics 381 Part 6: The Part of Tens 401 Chapter 21: Ten Algorithms That Are Changing the World 403 Chapter 22: Ten Algorithmic Problems Yet to Solve 411 Index 417 ntroduction 1 Part 1: Getting Started with Algorithms 7 Chapter 1: Introducing Algorithms 9 Chapter 2: Considering Algorithm Design 23 Chapter 3: Working with Google Colab 41 Chapter 4: Performing Essential Data Manipulations Using Python 59 Chapter 5: Developing a Matrix Computation Class 79 Part 2: Understanding the Need to Sort and Search 97 Chapter 6: Structuring Data 99 Chapter 7: Arranging and Searching Data 117 Part 3: Exploring the World of Graphs 139 Chapter 8: Understanding Graph Basics 141 Chapter 9: Reconnecting the Dots 161 Chapter 10: Discovering Graph Secrets 195 Chapter 11: Getting the Right Web page 207 Part 4: Wrangling Big Data 223 Chapter 12: Managing Big Data 225 Chapter 13: Parallelizing Operations 249 Chapter 14: Compressing and Concealing Data 267 Part 5: Challenging Difficult Problems 289 Chapter 15: Working with Greedy Algorithms 291 Chapter 16: Relying on Dynamic Programming 307 Chapter 17: Using Randomized Algorithms 331 Chapter 18: Performing Local Search 349 Chapter 19: Employing Linear Programming 367 Chapter 20: Considering Heuristics 381 Part 6: The Part of Tens 401 Chapter 21: Ten Algorithms That Are Changing the World 403 Chapter 22: Ten Algorithmic Problems Yet to Solve 411 Index 417 ntroduction 1 Part 1: Getting Started with Algorithms 7 Chapter 1: Introducing Algorithms 9 Chapter 2: Considering Algorithm Design 23 Chapter 3: Working with Google Colab 41 Chapter 4: Performing Essential Data Manipulations Using Python 59 Chapter 5: Developing a Matrix Computation Class 79 Part 2: Understanding the Need to Sort and Search 97 Chapter 6: Structuring Data 99 Chapter 7: Arranging and Searching Data 117 Part 3: Exploring the World of Graphs 139 Chapter 8: Understanding Graph Basics 141 Chapter 9: Reconnecting the Dots 161 Chapter 10: Discovering Graph Secrets 195 Chapter 11: Getting the Right Web page 207 Part 4: Wrangling Big Data 223 Chapter 12: Managing Big Data 225 Chapter 13: Parallelizing Operations 249 Chapter 14: Compressing and Concealing Data 267 Part 5: Challenging Difficult Problems 289 Chapter 15: Working with Greedy Algorithms 291 Chapter 16: Relying on Dynamic Programming 307 Chapter 17: Using Randomized Algorithms 331 Chapter 18: Performing Local Search 349 Chapter 19: Employing Linear Programming 367 Chapter 20: Considering Heuristics 381 Part 6: The Part of Tens 401 Chapter 21: Ten Algorithms That Are Changing the World 403 Chapter 22: Ten Algorithmic Problems Yet to Solve 411 Index 417.