Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C# PDF Free Download

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*** Source Code Note ***
Note that this book includes downloadable source code in Python and C#. The code used in the text is in pseudocode. (It would have been much longer and hence more expensive if it included Python and C# code in the text.)
A friendly introduction to the most useful algorithms written in simple, intuitive English
The revised and updated second edition of Essential Algorithms, offers an accessible introduction to computer algorithms. The book contains a description of important classical algorithms and explains when each is appropriate. The author shows how to analyze algorithms in order to understand their behavior and teaches techniques that the can be used to create new algorithms to meet future needs. The text includes useful algorithms such as: methods for manipulating common data structures, advanced data structures, network algorithms, and numerical algorithms. It also offers a variety of general problem-solving techniques.
In addition to describing algorithms and approaches, the author offers details on how to analyze the performance of algorithms. The book is filled with exercises that can be used to explore ways to modify the algorithms in order to apply them to new situations. This updated edition of Essential Algorithms:

  • Contains explanations of algorithms in simple terms, rather than complicated math
  • Steps through powerful algorithms that can be used to solve difficult programming problems
  • Helps prepare for programming job interviews that typically include algorithmic questions
  • Offers methods can be applied to any programming language
  • Includes exercises and solutions useful to both professionals and students
  • Provides code examples updated and written in Python and C#

Essential Algorithms has been updated and revised and offers professionals and students a hands-on guide to analyzing algorithms as well as the techniques and applications. The book also includes a collection of questions that may appear in a job interview. The book’s website will include reference implementations in Python and C# (which can be easily applied to Java and C++).

 

A more intuitive approach to the mathematical foundation of computer science

Discrete mathematics is the basis of much of computer science, from algorithms and automata theory to combinatorics and graph theory. This textbook covers the discrete mathematics that every computer science student needs to learn. Guiding students quickly through thirty-one short chapters that discuss one major topic each, this flexible book can be tailored to fit the syllabi for a variety of courses.

Proven in the classroom, Essential Discrete Mathematics for Computer Science aims to teach mathematical reasoning as well as concepts and skills by stressing the art of proof. It is fully illustrated in color, and each chapter includes a concise summary as well as a set of exercises. The text requires only precalculus, and where calculus is needed, a quick summary of the basic facts is provided.

Essential Discrete Mathematics for Computer Science is the ideal introductory textbook for standard undergraduate courses, and is also suitable for high school courses, distance education for adult learners, and self-study.

The essential introduction to discrete mathematics
Features thirty-one short chapters, each suitable for a single class lesson
Includes more than 300 exercises
Almost every formula and theorem proved in full
Breadth of content makes the book adaptable to a variety of courses
Each chapter includes a concise summary
Solutions manual available to instructors

Table of contents

Cover
Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C#
Copyright
Dedication
About the Author
About the Technical Editor
Credits
Acknowledgments
Contents at a glance
Contents
Introduction
1
Algorithm Basics
2
Numerical Algorithms
3
Linked Lists
4
Arrays
5
Stacks and Queues
6
Sorting
7
Searching
8
Hash Tables
9
Recursion
10
Trees
11
Balanced Trees
12
Decision Trees
13
Basic Network Algorithms
14
More Network Algorithms
15
String Algorithms
16
Cryptography
17
Complexity Theory
18
Distributed Algorithms
19
Interview Puzzles
APPENDIX
A. Summary of Algorithmic Concepts
APPENDIX
B. Solutions to Exercises
Glossary
Index

Product information

Publisher‏:‎Wiley; 2nd edition (May 29, 2019)
Language‏:‎English
Paperback‏:‎800 pages
ISBN-10‏:‎1119575990
ISBN-13‏:‎978-1119575993
Item Weight‏:‎2.91 pounds
Dimensions‏:‎7.4 x 1.6 x 8.9 inches
1119575990

 

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