Algorithms For Dummies 2nd Edition by John Paul Mueller, Luca Massaron ISBN 9781119869986 1119869986

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ISBN 10: 1119869986
ISBN 13: 9781119869986
Author: John Paul Mueller, Luca Massaron

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.

Algorithms For Dummies 2nd Edition Table of contents:

Part 1: Getting Started with Algorithms

Chapter 1: Introducing Algorithms

Describing Algorithms

Using Computers to Solve Problems

Distinguishing between Issues and Solutions

Structuring Data to Obtain a Solution

Chapter 2: Considering Algorithm Design

Starting to Solve a Problem

Dividing and Conquering

Learning that Greed Can Be Good

Computing Costs and Following Heuristics

Evaluating Algorithms

Chapter 3: Working with Google Colab

Defining Google Colab

Working with Notebooks

Performing Common Tasks

Using Hardware Acceleration

Executing the Code

Getting Help

Chapter 4: Performing Essential Data Manipulations Using Python

Performing Calculations Using Vectors and Matrixes

Creating Combinations the Right Way

Getting the Desired Results Using Recursion

Performing Tasks More Quickly

Chapter 5: Developing a Matrix Computation Class

Avoiding the Use of NumPy

Understanding Why Using a Class is Important

Building the Basic Class

Manipulating the Matrix

Part 2: Understanding the Need to Sort and Search

Chapter 6: Structuring Data

Determining the Need for Structure

Stacking and Piling Data in Order

Working with Trees

Representing Relations in a Graph

Chapter 7: Arranging and Searching Data

Sorting Data Using Merge Sort and Quick Sort

Using Search Trees and the Heap

Relying on Hashing

Part 3: Exploring the World of Graphs

Chapter 8: Understanding Graph Basics

Explaining the Importance of Networks

Defining How to Draw a Graph

Measuring Graph Functionality

Putting a Graph in Numeric Format

Chapter 9: Reconnecting the Dots

Traversing a Graph Efficiently

Sorting the Graph Elements

Reducing to a Minimum Spanning Tree

Finding the Shortest Route

Chapter 10: Discovering Graph Secrets

Envisioning Social Networks as Graphs

Navigating a Graph

Chapter 11: Getting the Right Web page

Finding the World in a Search Engine

Explaining the PageRank Algorithm

Implementing PageRank

Going Beyond the PageRank Paradigm

Part 4: Wrangling Big Data

Chapter 12: Managing Big Data

Transforming Power into Data

Streaming Flows of Data

Sketching an Answer from Stream Data

Chapter 13: Parallelizing Operations

Managing Immense Amounts of Data

Working Out Algorithms for MapReduce

Chapter 14: Compressing and Concealing Data

Making Data Smaller

Hiding Your Secrets with Cryptography

Part 5: Challenging Difficult Problems

Chapter 15: Working with Greedy Algorithms

Deciding When It Is Better to Be Greedy

Finding Out How Greedy Can Be Useful

Chapter 16: Relying on Dynamic Programming

Explaining Dynamic Programming

Discovering the Best Dynamic Recipes

Chapter 17: Using Randomized Algorithms

Defining How Randomization Works

Putting Randomness into your Logic

Chapter 18: Performing Local Search

Understanding Local Search

Presenting local search tricks

Solving Satisfiability of Boolean Circuits

Chapter 19: Employing Linear Programming

Using Linear Functions as a Tool

Using Linear Programming in Practice

Chapter 20: Considering Heuristics

Differentiating Heuristics

Routing Robots Using Heuristics

Explaining Path Finding Algorithms

Part 6: The Part of Tens

Chapter 21: Ten Algorithms That Are Changing the World

Using Sort Routines

Looking for Things with Search Routines

Shaking Things Up with Random Numbers

Performing Data Compression

Keeping Data Secret

Changing the Data Domain

Analyzing Links

Spotting Data Patterns

Dealing with Automation and Automatic Responses

Creating Unique Identifiers

Chapter 22: Ten Algorithmic Problems Yet to Solve

Solving Problems Quickly

Solving 3SUM Problems More Efficiently

Making Matrix Multiplication Faster

Determining Whether an Application Will End

Creating and Using One-Way Functions

Multiplying Really Large Numbers

Dividing a Resource Equally

Reducing Edit Distance Calculation Time

Playing the Parity Game

Understanding Spatial Issues

Index

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Tags: John Paul Mueller, Luca Massaron, Algorithms, Dummies