The Algorithm Design Manual / by Steven S. Skiena.
2020
QA76.6-76.66
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Online Access
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Unlimited
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Authorized users
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Can lend chapters, not whole ebooks
Details
Title
The Algorithm Design Manual / by Steven S. Skiena.
Author
Skiena, Steven S., author.
Edition
3rd ed. 2020.
ISBN
9783030542566
3030542564
9783030542566
3030542556
9783030542559
3030542564
9783030542566
3030542556
9783030542559
Published
Cham : Springer International Publishing : Imprint: Springer, 2020.
Language
English
Description
1 online resource (XVII, 793 pages) : illustrations.
Call Number
QA76.6-76.66
Dewey Decimal Classification
005.11
Summary
"My absolute favorite for this kind of interview preparation is Steven Skiena's The Algorithm Design Manual. More than any other book it helped me understand just how astonishingly commonplace ... graph problems are -- they should be part of every working programmer's toolkit. The book also covers basic data structures and sorting algorithms, which is a nice bonus. ... every 1 - pager has a simple picture, making it easy to remember." (Steve Yegge, Get that Job at Google) "Steven Skiena's Algorithm Design Manual retains its title as the best and most comprehensive practical algorithm guide to help identify and solve problems. ... Every programmer should read this book, and anyone working in the field should keep it close to hand. ... This is the best investment ... a programmer or aspiring programmer can make." (Harold Thimbleby, Times Higher Education) "It is wonderful to open to a random spot and discover an interesting algorithm. This is the only textbook I felt compelled to bring with me out of my student days.... The color really adds a lot of energy to the new edition of the book!" (Cory Bart, University of Delaware) -- This newly expanded and updated third edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficiency. It serves as the primary textbook of choice for algorithm design courses and interview self-study, while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Practical Algorithm Design, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, the Hitchhiker's Guide to Algorithms, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations, and an extensive bibliography. NEW to the third edition: -- New and expanded coverage of randomized algorithms, hashing, divide and conquer, approximation algorithms, and quantum computing -- Provides full online support for lecturers, including an improved website component with lecture slides and videos -- Full color illustrations and code instantly clarify difficult concepts -- Includes several new "war stories" relating experiences from real-world applications -- Over 100 new problems, including programming-challenge problems from LeetCode and Hackerrank. -- Provides up-to-date links leading to the best implementations available in C, C++, and Java Additional Learning Tools: -- Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, and the right path to solve them -- Exercises include "job interview problems" from major software companies -- Highlighted "take home lessons" emphasize essential concepts -- The "no theorem-proof" style provides a uniquely accessible and intuitive approach to a challenging subject -- Many algorithms are presented with actual code (written in C) -- Provides comprehensive references to both survey articles and the primary literature This substantially enhanced third edition of The Algorithm Design Manual is an essential learning tool for students and professionals needed a solid grounding in algorithms. Professor Skiena is also the author of the popular Springer texts, The Data Science Design Manual and Programming Challenges: The Programming Contest Training Manual.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Series
Texts in computer science, 1868-0941
Available in Other Form
Print version: 9783030542580
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
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All Resources
Table of Contents
TO UPDATE Practical Algorithm Design
to Algorithm Design
Algorithm Analysis
Data Structures
Sorting and Searching
Graph Traversal
Weighted Graph Algorithms
Combinatorial Search and Heuristic Methods
Dynamic Programming
Intractable Problems and Approximation Algorithms
How to Design Algorithms
The Hitchhiker's Guide to Algorithms
A Catalog of Algorithmic Problems
Data Structures
Numerical Problems
Combinatorial Problems
Graph Problems: Polynomial-Time
Graph Problems: Hard Problems
Computational Geometry
Set and String Problems
Algorithmic Resources.
to Algorithm Design
Algorithm Analysis
Data Structures
Sorting and Searching
Graph Traversal
Weighted Graph Algorithms
Combinatorial Search and Heuristic Methods
Dynamic Programming
Intractable Problems and Approximation Algorithms
How to Design Algorithms
The Hitchhiker's Guide to Algorithms
A Catalog of Algorithmic Problems
Data Structures
Numerical Problems
Combinatorial Problems
Graph Problems: Polynomial-Time
Graph Problems: Hard Problems
Computational Geometry
Set and String Problems
Algorithmic Resources.