The Art of Algorithm Design is a complementary perception of all books on algorithm design and is a roadmap for all levels of learners as well as professionals dealing with algorithmic problems. Further, the book provides a comprehensive introduction to algorithms and covers them in considerable depth, yet makes their design and analysis accessible to all levels of readers. All algorithms are described and designed with a "pseudo-code" to be readable by anyone with little knowledge of programming. This book comprises of a comprehensive set of problems and their solutions against each algorithm to demonstrate its executional assessment and complexity, with an objective to: Understand the introductory concepts and design principles of algorithms and their complexities Demonstrate the programming implementations of all the algorithms using C-Language Be an excellent handbook on algorithms with self-explanatory chapters enriched with problems and solutions While other books may also cover some of the same topics, this book is designed to be both versatile and complete as it traverses through step-by-step concepts and methods for analyzing each algorithmic complexity with pseudo-code examples. Moreover, the book provides an enjoyable primer to the field of algorithms. This book is designed for undergraduates and postgraduates studying algorithm design.

Donald Knuth is Professor Emeritus of the Art of Computer Programming at Stanford University, and is well-known worldwide as the creator of the Tex typesetting language. Here he presents the third volume of his guide to computer programming.

Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, Second Edition, organizes and presents that knowledge, fully introducing primary techniques and results in the field. Robert Sedgewick and the late Philippe Flajolet have drawn from both classical mathematics and computer science, integrating discrete mathematics, elementary real analysis, combinatorics, algorithms, and data structures. They emphasize the mathematics needed to support scientific studies that can serve as the basis for predicting algorithm performance and for comparing different algorithms on the basis of performance. Techniques covered in the first half of the book include recurrences, generating functions, asymptotics, and analytic combinatorics. Structures studied in the second half of the book include permutations, trees, strings, tries, and mappings. Numerous examples are included throughout to illustrate applications to the analysis of algorithms that are playing a critical role in the evolution of our modern computational infrastructure. Improvements and additions in this new edition include Upgraded figures and code An all-new chapter introducing analytic combinatorics Simplified derivations via analytic combinatorics throughout The book’s thorough, self-contained coverage will help readers appreciate the field’s challenges, prepare them for advanced results—covered in their monograph Analytic Combinatorics and in Donald Knuth’s The Art of Computer Programming books—and provide the background they need to keep abreast of new research. "[Sedgewick and Flajolet] are not only worldwide leaders of the field, they also are masters of exposition. I am sure that every serious computer scientist will find this book rewarding in many ways." —From the Foreword by Donald E. Knuth

Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook.

Generative Art: Algorithms as Artistic Tool presents both simple programming concepts and generative art principles in the same book. Generative Art, a relatively new form of art, is the art of the algorithm where an artist must carefully design the nature of the work and then implement it as a computer program. This book presents a set of novel approaches to this subject. Existing books on this subject confront the topic through the lens of programming. This book does that, but also presents approaches to creating art using art and design best practices. Content is arranged according to the problem that is to be solved. Readers will have access to code used in the book through the book's web site and video tutorials are also available for each chapter.

These days, we take for granted that our computer screens—and even our phones—will show us images in vibrant full color. Digital color is a fundamental part of how we use our devices, but we never give a thought to how it is produced or how it came about. Chromatic Algorithms reveals the fascinating history behind digital color, tracing it from the work of a few brilliant computer scientists and experimentally minded artists in the late 1960s and early ‘70s through to its appearance in commercial software in the early 1990s. Mixing philosophy of technology, aesthetics, and media analysis, Carolyn Kane shows how revolutionary the earliest computer-generated colors were—built with the massive postwar number-crunching machines, these first examples of “computer art” were so fantastic that artists and computer scientists regarded them as psychedelic, even revolutionary, harbingers of a better future for humans and machines. But, Kane shows, the explosive growth of personal computing and its accompanying need for off-the-shelf software led to standardization and the gradual closing of the experimental field in which computer artists had thrived. Even so, the gap between the bright, bold presence of color onscreen and the increasing abstraction of its underlying code continues to lure artists and designers from a wide range of fields, and Kane draws on their work to pose fascinating questions about the relationships among art, code, science, and media in the twenty-first century.