Algorithms Illuminated (Part 2): Graph Algorithms and Data Structures (Roughgarden Tim)(Paperback)

Algorithms Illuminated (Part 2): Graph Algorithms and Data Structures (Roughgarden Tim)(Paperback)

Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and machine learning. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms

Algorithms Illuminated (Part 1): The Basics (Roughgarden Tim)(Paperback)

Algorithms Illuminated (Part 3): Greedy Algorithms and Dynamic Programming (Roughgarden Tim)(Paperback)

Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and machine learning. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms

Algorithms Illuminated (Part 4): Algorithms for NP-Hard Problems (Roughgarden Tim)(Paperback)

Fourth book in a series that provides an accessible, no-nonsense, and programming language-agnostic introduction to algorithms. Includes hints of solutions to all quizzes and problems, and a series of YouTube videos by the author accompanies the book. Part 4 covers algorithmic tools for tackling

Advanced Algorithms and Data Structures (La Rocca Marcello)(Paperback)

Advanced Algorithms and Data Structures expands on the basic algorithms you already know to give you a better selection of solutions to different programming problems. As a software engineer, you'll encounter countless programming challenges that initially seem confusing, difficult, or even

Algorithms in C, Parts 1-5 (Bundle): Fundamentals, Data Structures, Sorting, Searching, and Graph Algorithms (Sedgewick Robert)(Paperback)

Software developers and computer scientists have eagerly awaited this comprehensive revision of Robert Sedgewick's landmark texts on algorithms. Sedgewick has completely revamped all five sections, illuminating today's best algorithms for an exceptionally wide range of tasks. This shrink-wrapped

Graph Algorithms: Practical Examples in Apache Spark and Neo4j (Needham Mark)(Paperback)

Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building

Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles (Karumanchi Narasimha)(Paperback)

Peeling Data Structures and Algorithms: Table of Contents: goo.gl/JFMgiU Sample Chapter: goo.gl/n2Hk4i Found Issue? goo.gl/forms/4Gt72YO81I Videos: goo.gl/BcHq74 'Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles' is a book that offers solutions to complex data

Python Data Structures and Algorithms: Improve application performance with graphs, stacks, and queues (Baka Benjamin)(Paperback)

Implement classic and functional data structures and algorithms using Python Key Features A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures. Get a better understanding of advanced Python concepts such as big-o

Beyond the Worst-Case Analysis of Algorithms (Roughgarden Tim)(Pevná vazba)

Understanding when and why algorithms work is a fundamental challenge. For problems ranging from clustering to linear programming to neural networks there are significant gaps between empirical performance and prediction based on traditional worst-case analysis. The book introduces exciting new

Mastering Algorithms with C (Loudon Kyle)(Paperback)

There are many books on data structures and algorithms, including some with useful libraries of C functions. Mastering Algorithms with C offers you a unique combination of theoretical background and working code. With robust solutions for everyday programming tasks, this book avoids the abstract

A Common-Sense Guide to Data Structures and Algorithms, Second Edition: Level Up Your Core Programming Skills (Wengrow Jay)(Paperback)

If you thought that data structures and algorithms were all just theory, you're missing out on what they can do for your code. Learn to use Big O Notation to make your code run faster by orders of magnitude. Choose from data structures such as hash tables, trees, and graphs to increase your code's

JavaScript Data Structures and Algorithms: An Introduction to Understanding and Implementing Core Data Structure and Algorithm Fundamentals (Bae Sammie)(Paperback)

Explore data structures and algorithm concepts and their relation to everyday JavaScript development. A basic understanding of these ideas is essential to any JavaScript developer wishing to analyze and build great software solutions. You'll discover how to implement data structures such as hash

Data Structures and Algorithms with Scala: A Practitioner's Approach with Emphasis on Functional Programming (Upadhyaya Bhim P.)(Paperback)

Foundational Components Fundamental Algorithms Arrays Lists Stacks Queues Hash Tables Binary Trees Sorting Searching Graphs Appendix A: Solutions for Selected Exercises Appendix B: Review of Discrete Mathematical

Programming Algorithms in LISP: Writing Efficient Programs with Examples in ANSI Common LISP (Domkin Vsevolod)(Paperback)

Master algorithms programming using Lisp, including the most important data structures and algorithms. This book also covers the essential tools that help in the development of algorithmic code to give you all you need to enhance your code.Programming Algorithms in Lisp shows real-world engineering

Data Structures and Algorithms in Java (Goodrich Michael T.)(Paperback / softback)

The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich and Tomassia's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data

Genetic Algorithms + Data Structures = Evolution Programs (Michalewicz Zbigniew)(Paperback)

Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the

Data Structures & Algorithms Interview Questions You'll Most Likely Be Asked (Publishers Vibrant)(Paperback)

Algorithmic Thinking: A Problem-Based Introduction (Zingaro Daniel)(Paperback)

A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer. Programming is about using a computer to solve problems, and algorithms and data structures are the building blocks of computer programs. For each problem that a programmer wants to

Data Structures and Algorithms with Python (Lee Kent D.)(Paperback)

This clearly structured and easy to read textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently.Project-oriented and classroom-tested, the book presents a number of important algorithms supported by motivating examples that bring

Basic Concepts in Algorithms (Klein Shmuel Tomi)(Paperback)

This book is the result of several decades of teaching experience in data structures and algorithms. It is self-contained but does assume some prior knowledge of data structures, and a grasp of basic programming and mathematics tools. Basic Concepts in Algorithms focuses on more advanced paradigms

Think Data Structures: Algorithms and Information Retrieval in Java (Downey Allen B.)(Paperback)

If you're a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering--data structures and algorithms--in a way that's clearer, more concise, and more

Data Mining and Machine Learning: Fundamental Concepts and Algorithms (Zaki Mohammed J.)(Pevná vazba)

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and

An Introduction to Genetic Algorithms (Mitchell Melanie)(Paperback)

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers