Top 7 ALGORITHM BOOKS

A set of steps that leads to the desired result is known as an algorithm. Algorithms are well defined procedures that form an essential part of all computer programs. The structured steps of an algorithm first process the data and then lead to the desired result. So, an algorithm that produces the desired result in the least possible steps is considered to be the best algorithm design. The Algorithm Design Manual is a comprehensive manual on designing algorithms. It provides the basic concepts of designing algorithms as well as resources where the designer can look for an existing algorithm design.

Designed for students as well as computer professionals, this book provides access to combinatorial algorithms technology. It is well organized into two sections: Techniques and Resources. The first section explores the fundamental basics of already available designs. It is a guide to the techniques employed for algorithm designs and provides an analysis of computer algorithms. It discusses algorithm related concepts such as backtracking, heuristics, data structures, dynamic programming, and depth-first search.

The second section of the book provides extensive coverage of resources. Here the students get to know how to locate existing algorithm designs according to specific problems. It consists of a full-fledged catalog comprising various resources for algorithm, implementation, and a comprehensive bibliography. There are a large number of algorithms that can be used to design any sort of application. An algorithm designer needs to be aware of how to use these repositories and this book provides that knowledge.

The second edition of The Algorithm Design Manual comes loaded with additional tutorial material and exercises as compared to the previous edition. This updated and revised edition can serve not just as a textbook for students but also as a reference guide for researchers and programmers. There are various new additions in the second edition such as a catalog of 75 common algorithmic problems. It offers new case studies that give examples from the real world.

The other topics covered here are sorting and searching, weighted graph algorithms, and graph traversal. It provides complete online support for lectures and the website component is completely improved to include lecture slides. Moreover, the author has provided up-to-date links for the best algorithm implementations available in Java, C, and C++. The Algorithm Design Manual is used as a textbook at undergraduate level and as a reference text to prepare for job interviews in IT industry.

The contemporary study of all computer algorithms can be understood clearly by perusing the contents of Introduction To Algorithms. Although this covers most of the important aspects of algorithms, the concepts have been detailed in a lucid manner, so as to be palatable to readers at all levels of skill.

Introduction To Algorithms has a number of chapters, each of which is self-contained, as it contains an algorithm, followed by a design technique. There is also an area of application or a related topic, so that students can find out the practical implications of the algorithm in question.

There is an introduction unit, where the foundations of algorithms are covered. At all points in the book, the jargon and technical information are presented so as to be readable by anyone who has dabbled to some extent in programming. The foundation unit seeks to enlighten the reader regarding the role algorithms play in modern computer programming and the growth of functions, among other things.

Introduction To Algorithms then moves on to Sorting and Order Statistics, introducing the concepts of Heapsort and Quicksort, and also explaining how to sort in real time. A number of other topics such as Design and Analysis and Graph Algorithms are covered in the book. One feature to note in this book is that two new chapters have been added in this third edition, one on multithreaded algorithms and another on Van Emde Boas trees.

Introduction To Algorithms is a popular book that has sold more than twenty million copies in total. In fact, it is so famous that it is commonly referred to as 'CLRS', after the initials of the authors. The book includes new problems and exercises in this edition.

An algorithm is a sequence of well defined steps, that, if followed carefully, leads to the solution of a problem. Algorithms are naturally associated with the field of computer science and programming, but it also has applications in physics and in genetic sequencing.

Algorithms 4th Edition, divided into six chapters, covers every aspect of algorithms from the fundamentals to the applications.
The book starts with a look at the fundamentals. This chapter provides a solid technical foundation for comparing algorithms and predicting outcomes. It includes coverage of programming model, data abstraction, and analysis of algorithms. It also includes a case study.
The second chapter looks at sorting algorithms. It covers many classical sorting algorithms including mergesort, quicksort, insertion sort and a priority queue implemented using a binary heap. It also covers applications of these algorithms.
The next chapter discusses the graph algorithms. It explains directed and undirected sorts, short paths and minimum spanning trees. The fifth chapter takes an in-depth look at string sorting algorithm. It discusses radix sorting, tries, substring searches, regular expressions and data compression.
The final chapter, Context, discusses applications of algorithms in various fields - operations research, systems programming, scientific computing, and commercial applications.

Algorithms 4th Edition incorporates techniques developed over several decades and explains it all in a precise and concise fashion. Using many interesting examples and illustrations, the authors also highlight the many practical applications of these abstract concepts in many different fields.

Data Structures and Algorithms are important parts of courses in computer science. They form the fundamental building blocks of developing logical solutions to problems. They help in creating efficient programs that perform tasks optimally. Data Structure refers to the principles of storing and organizing data. Algorithm is the set of logical steps involved in solving a problem.

Data Structures And Algorithms Made Easy defines these two concepts for the benefit of students and professionals in the computer science field. Rather than focusing on the various theories and models, this book provides practical examples.

It focuses on giving solutions for complex problems in data structures and algorithm. It even provides multiple solutions for a single problem, thus familiarizing readers with different possible approaches to the same situation.

Data Structures And Algorithms Made Easy is designed to give a jumpstart to programmers, job hunters and those who are appearing for exams. All the codes in this book are in C/C++. It contains many programming puzzles that not only encourage analytical thinking, but also prepares readers for interviews. This book, with its focused and practical approach, can help readers quickly pick up the concepts and techniques for developing efficient and effective solutions to problems.

Whether an individual is an object oriented designer, an architect, a developer or a simple programmer, there are a few design problems that are universal, and for anyone serious about their work, such hindrances can be quite a downer.

Design Patterns: Elements Of Reusable Object-Oriented Software is a guide that teaches readers how to make use of standard design patterns for finding effective solutions to design problems encountered on a daily basis.

The book contains around 23 patterns, all explained methodically and in detail, to create designs, which are not only reusable but also quite flexible. Also, these improved designs do not require the author to go back to the design solution each time.

From this book, the readers can understand how these patterns contribute to the development of software patterns and how they can be used to solve any design problems that may occur.

Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack: the billions of pages on the World Wide Web. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers; and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease?

This is the first book to answer that question in language anyone can understand, revealing the extraordinary ideas that power our PCs, laptops, and smartphones. Using vivid examples, John MacCormick explains the fundamental "tricks" behind nine types of computer algorithms, including artificial intelligence (where we learn about the "nearest neighbor trick" and "twenty questions trick"), Google's famous PageRank algorithm (which uses the "random surfer trick"), data compression, error correction, and much more.

These revolutionary algorithms have changed our world: this book unlocks their secrets, and lays bare the incredible ideas that our computers use every day.

Algorithm Design is a comprehensive book for undergraduate students of Computer Science engineering. The book comprises of chapters on the basics of algorithms analysis, graphs, greedy algorithms, network flow, dynamic programming and randomized algorithms. In addition, the book introduces students to a range of design and analysis techniques. This book is indispensable for computer science engineers preparing for various competitive examinations.