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Algorithmen für Dummies Mueller, John Paul

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Book Title
For Dummies
ISBN
9781119869986

Über dieses Produkt

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1119869986
ISBN-13
9781119869986
eBay Product ID (ePID)
20050427549

Product Key Features

Number of Pages
448 Pages
Language
English
Publication Name
Algorithms for Dummies
Subject
Programming / General, Programming / Algorithms, General, Data Processing
Publication Year
2022
Type
Textbook
Subject Area
Mathematics, Computers
Author
John Paul Mueller, Luca Massaron
Format
Trade Paperback

Dimensions

Item Height
1.1 in
Item Weight
20.8 Oz
Item Length
9.2 in
Item Width
7.3 in

Additional Product Features

Edition Number
2
Intended Audience
Scholarly & Professional
Dewey Edition
23
Dewey Decimal
518.1
Table Of Content
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
Synopsis
Your secret weapon to understanding--and using!--one of the most powerful influences in the world today From your Facebook News Feed to your most recent insurance premiums--even making toast!--algorithms play a role in virtually everything that happens in modern society and in your personal life. And while they can seem complicated from a distance, the reality is that, with a little help, anyone can understand--and even use--these powerful problem-solving tools! In Algorithms For Dummies, you'll discover the basics of algorithms, including what they are, how they work, where you can find them (spoiler alert: everywhere!), who invented the most important ones in use today (a Greek philosopher is involved), and how to create them yourself. You'll also find: Dozens of graphs and charts that help you understand the inner workings of algorithms Links to an online repository called GitHub for constant access to updated code Step-by-step instructions on how to use Google Colaboratory, a zero-setup coding environment that runs right from your browser Whether you're a curious internet user wondering how Google seems to always know the right answer to your question or a beginning computer science student looking for a head start on your next class, Algorithms For Dummies is the can't-miss resource you've been waiting for.
LC Classification Number
QA9.58

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