Top Algorithms books curated by experts

Algorithm: An algorithm is defined as a step-by-step process that will be designed for a problem. Input: After designing an algorithm, the algorithm is given the necessary and desired inputs. Processing unit: The input will be passed to the processing unit, producing the desired output.

Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more comple…

Do you feel left out when other programmers talk about asymptotic bounds?
Have you failed a job interview because you don't know computer science?
Volume one covers the most frequently referenced topics, including:
- Algorithms and data structures
- Graphs
- Problem-solving techni…

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.

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms 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 re…

Algorithms Illuminated, Part 1 provides an introduction to and basic literacy in the following four topics. Asymptotic analysis and big-O notation. Asymptotic notation provides the basic vocabulary for discussing the design and analysis of algorithms.

Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles" 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++, it comes handy as an interview and exam guide for computer s…

Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs -- with just enough math to let you understand and analyze algorithm performance.

A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor.

Data structures and algorithms are much more than abstract concepts. Mastering them enables you to write more efficient code that runs faster, which is particularly important for today’s web and mobile apps. If you last saw an algorithm in a university course or at a job interview, you’re missin…

Most books on data structures assume an imperative language such as C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional langua…

I am not a recruiter. I am a software engineer. And as such, I know what it's like to be asked to whip up brilliant algorithms on the spot and then write flawless code on a whiteboard. I've been through this as a candidate and as an interviewer.
Cracking the Coding Interview, 6th Edition is h…