Refrence List of #Algorithms Keyword

Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental algorithms, such as sorting …

Solve classic computer science problems from fundamental algorithms, such as sorting and searching, to modern algorithms in machine learning and …

Algebraic Geometry is the study of systems of polynomial equations in one or more variables, asking such questions as: Does …

This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both …

An Introduction to Distributed Algorithms takes up some of the main concepts and algorithms, ranging from basic to advanced techniques …

This work is a comprehensive study of the field. It provides an entry point to the novice willing to move …

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models …

The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses …

""Get hands-on guidance on designing and analyzing algorithms with the 'Introduction to Algorithms: Instructor's Manual' book. Written by the renowned …

This original text provides comprehensive coverage of parallel algorithms and architectures, beginning with fundamental concepts and continuing through architectural variations …

This gentle introduction to programming and algorithms has been designed as a first course for undergraduates, and requires no prior …

This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines …

Optimisation, or mathematical programming, is a fundamental subject within decision science and operations research, in which mathematical decision models are …

""Experience the intricacies of semi-numerical algorithms in 'The Art of Computer Programming' by Donald E. Knuth, the iconic Computer Science …

What do topics ranging from organic chemistry to Napoleon's campaigns have to do with computer programming? This collection of essays …

""Discover the Art of Programming with 'Programming Pearls' by Jon Bentley (2nd Edition)\n\nIn this revised and updated edition of the …

In 1984, N. Karmarkar published a seminal paper on algorithmic linear programming. During the subsequent decade, it stimulated a huge …

Parameterized complexity is currently a thriving field in complexity theory and algorithm design. A significant part of the success of …

""In today's digitally-driven world, the intersection of technology and ethics has become a pressing concern. 'The Algorithmic Code of Ethics: …

This open access book gives an overview of cutting-edge work on a new paradigm called the “sublinear computation paradigm,” which …

This book is to explore and explain the strategically sound capabilities at the synchronization between quantum computing and artificial intelligence …

A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, …

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural …

Summary Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical …

""Get ready to dive into the world of algorithms with 'Grokking Algorithms' (MEAP v4), the comprehensive guide to crack the …