Produktbild: Algorithms for Dummies

Algorithms for Dummies

Aus der Reihe For Dummies

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.05.2022

Verlag

John Wiley & Sons Inc

Seitenzahl

448

Maße (L/B/H)

23,3/18,9/2,7 cm

Gewicht

610 g

Auflage

2nd edition

Sprache

Englisch

ISBN

978-1-119-86998-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.05.2022

Verlag

John Wiley & Sons Inc

Seitenzahl

448

Maße (L/B/H)

23,3/18,9/2,7 cm

Gewicht

610 g

Auflage

2nd edition

Sprache

Englisch

ISBN

978-1-119-86998-6

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Algorithms for Dummies
  • 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