Data Structures and Algorithms Made Easy: : Data Structure and Algorithmic Puzzles Using C & C++ And Java. (Data Structure and Algorithms) (Volume 2)

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9781494317928: Data Structures and Algorithms Made Easy: : Data Structure and Algorithmic Puzzles Using C & C++ And Java. (Data Structure and Algorithms) (Volume 2)

Most widely sold book Of Data Structure and Algorithms - Anyone can learn now. 
Data Structures and Algorithms Made Easy : Data Structure and Algorithmic Puzzles, 
Using the C/C++ programming language, World Famous Author Harry highlights three important aspects of data structures and algorithms. First, the book places special emphasis on the connection between data structures and their algorithms, including an analysis of the algorithms' complexity. 
 
Second, the book presents data structures in the context of object-oriented program design, stressing the principle of information hiding in its treatment of encapsulation and decomposition. Finally, the book closely examines data structure implementation. Overall, this practical and theoretical book prepares students with a solid foundation in data structures for future courses and work in design implementation, testing, or maintenance of virtually any software system. 
 
Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Data Structures and Algorithms Made Easy : Data Structure and Algorithmic Puzzles, uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. 
Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. 

The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. This edition became a widely used text in universities worldwide as well as the standard reference for professionals. The sixteenth edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. 
 
This edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called "Divide-and-Conquer"), and an appendix on matrices. 
 
It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many new exercises and problems have been added for this edition. 
 
Most widely sold book Of Data Structure and Algorithms - Anyone can learn now. " Data Structures and Algorithms Made Easy : Data Structure and Algorithmic Puzzles, 
Using C & C++. (5th Edition 2014)" is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++.
The book covers Recursion and Backtracking, Linked Lists, Stacks, Queues,Trees, Priority Queue and Heaps, Disjoint Sets ADT, Graph Algorithms, Sorting, Searching, Selection Algorithms [Medians], Symbol Tables, Hashing, String Algorithms, Algorithms Design Techniques, Greedy Algorithms, Divide and Conquer Algorithms, Dynamic Programming, Complexity Classes, and other Miscellaneous Concepts. 

What is unique? 

Our main objective isn't to propose theorems and proofs about DS and Algorithms. We took the direct route and solved problems of varying complexities. That is, each problem corresponds to multiple solutions with different complexities. In other words, we enumerated possible solutions. With this approach, even when a new question arises, we offer a choice of different solution strategies based on your priorities. 

Topics Covered: 
Introduction 
Recursion and Backtracking 
Linked Lists 
Stacks 
Queues 
Trees 
Priority Queue and Heaps 
Disjoint Sets ADT 
Graph Algorithms 
Sorting 
Searching 
Selection Algorithms [Medians] 
Symbol Tables 
Hashing 
String Algorithms 
Algorithms Design Techniques 
Greedy Algorithms 
Divide and Conquer Algorithms 
Dynamic Programming 
Complexity Classes 
Miscellaneous Concepts

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From the Author:

Data Structures and Algorithms Made Easy., Is the Ultimate Guide for Beginner's and Experts, Students & Professionals can easily Learn Data Structures and Algorithms step By Step,  

The 'bible' of the field, is a comprehensive textbook covering the full spectrum of modern algorithms: from the fastest algorithms and data structures to polynomial-time algorithms for seemingly intractable problems, from classical algorithms in graph theory to special algorithms for string matching, computational geometry, and number theory. The revised third edition notably adds a chapter on van Emde Boas trees, one of the most useful data structures, and on multithreaded algorithms, a topic of increasing importance."Topics Covered: 
Introduction 
Recursion and Backtracking 
Linked Lists 
Stacks 
Queues 
Trees 
Priority Queue and Heaps 
Disjoint Sets ADT 
Graph Algorithms 
Sorting 
Searching 
Selection Algorithms [Medians] 
Symbol Tables 
Hashing 
String Algorithms 
Algorithms Design Techniques 
Greedy Algorithms 
Divide and Conquer Algorithms 
Dynamic Programming 
Complexity Classes 
Miscellaneous Concepts

From the Inside Flap:

Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. 

The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. This edition became a widely used text in universities worldwide as well as the standard reference for professionals. The sixteenth edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming.
This edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called "Divide-and-Conquer"), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many new exercises and problems have been added for this edition.

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