Best Books to Learn Algorithms and Data Structure

Posted on 04-30-2017 by onlinebooksreview

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To become an excellent programmer, it is essential to learn Algorithms and Data Structures. Here are some 7 best books to guide you through learning Data Structures and Algorithms 

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01. The Algorithm Design Manual

This book addresses the main difficulties of solving problems and provides straightforward access to combinatorial algorithm technology, stressing design over analysis. It covers hundreds of practical techniques that give an overview of nearly every type of algorithmic problems we encounter.

What you will learn

• Essentials to understand the algorithmic design
• How to estimate the resources required for an algorithm
• Fundamental and specialized data structure concepts with stack, queues, linked lists, and graphs
• How to choose the best sorting algorithm for different sorting situations
• Searching with classical, graphical, and heuristic methods
• Applications of dynamic programming‚ 
• Step by step procedures for solving common algorithmic problems with 75 solved examples

02. Introduction to Algorithm

This book covers a broad range of algorithms in depth with simple, and accessible design methods. That makes it a useful book for all the levels of programmer from graduate student to working professional. It explains the concepts using pseudo code but that can be transferred to any programming language without much struggle.

What you will learn

• Methods for solving recurrences
• Probabilistic analysis and further uses of indicator random variables
• Advanced data structures using binary search, Fibonacci heaps, Van Emden Boas trees
• Sorting and ordered statistics
• Elementary and advanced graph algorithms
• String matching and multithreaded algorithms
• Computational geometry and approximation algorithms

03. Algorithms by Robert Sedewick | Kevin Wayne

Algorithms is the leading textbook on algorithms today and is widely used by graduate and undergraduate students worldwide. This book surveys the most important computer algorithms currently in use and provides in depth analysis of most useful algorithms and data structures. The codes are written in Java where all of the codes are exposed to the reader and ready to use.

What you will learn

• Basic programing model and data abstraction
• Applications of different sorting algorithms
• Searching using symbol tables, hash tables, and binary search tree
• String sorts and substring search
• Applications of graph algorithms for shortest paths and minimum spanning trees
• Event driven simulation using hand disc model
• Network flow and reduction

04. Data Structures and Algorithm Made Easy

This book is an effective solution for complex data structures and algorithms. It contains various data structures and algorithm-related complex problems with appropriate solutions that are useful for readers studying computer science.

What you will learn

• Fundamentals of Data Structures and Algorithms
• Applications of linked lists over arrays and dynamic arrays
• How to solve a problem with recursion and without recursion( using stacks)
• Selection algorithms for finding medians
• Priority queues and heaps
• Divide and conquer algorithms for efficient sorting and searching
• Hashing and string algorithms for working with strings

05. Algorithms Unlocked

This book offers an engagingly written guide to the basics of computer algorithms. It provides a general explanation, with limited mathematics, of how algorithms enable computers to solve problems. Readers will learn what computer algorithms are, how to describe them, and how to evaluate them.

What you will learn

• How to describe and evaluate computer algorithms
• Simple ways to search information in a computer
• Methods for rearranging data in a prescribed order
• How to solve problems that asks questions about strings of textual characters
• The basic principles behind cryptography
• Fundamentals of data compression
• Simple solutions to seemingly hard problems

06. The Art of Computer Programming

The Art of Computer Programming provides a comprehensive overview of a wide variety of algorithms and the analysis with clarity, accuracy, and good humor. Scientists have marveled at the beauty and elegance of this book, while practicing programmers have successfully applied this solutions to their day-to-day problems.

What you will learn

• Generating basic combinatorial patterns in permutation and combination
• Clause learning algorithms
• Monte Carlo algorithms
• Satisfiability-preserving maps
• Dancing links for backtrack programing
• Message passing algorithms

07. Advanced Data Structures

This book presents a comprehensive look at the ideas, analysis, and implementation details of data structures as a specialized topic in applied algorithms. It contains numerous code examples in C and more than 500 references that makes it an essential book for the learners of computer programing.

What you will learn

• Elementary data structures with stacks and queues
• Basic search trees and balanced search trees
• Tree structures for sets of intervals
• Different applications of heap structures
• How to transform data structures
• Data structures for strings
• Basic hash tables and perfect hash functions

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