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 …
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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 …
This book constitutes the refereed proceedings of the 11th International Workshop on Computer Algebra in Scientific Computing, CASC 2009, held …
The book covers various topics of computer algebra methods, algorithms and software applied to scientific computing. One of the important …
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What do topics ranging from organic chemistry to Napoleon's campaigns have to do with computer programming? This collection of essays …
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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 …
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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 …
Discover the realms of Grokking algorithmsDo you think algorithms are complicated?Does the mere thought of them make you break into …
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Based on the authors’ market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction …
This book explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented …
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Compilers: Principles, Techniques and Tools, known to professors, students, and developers worldwide as the "Dragon Book," is available in a …
This practical guide to modern encryption breaks down the fundamental mathematical concepts at the heart of cryptography without shying away …
This is an impressive collection of original research papers in discrete and computational geometry, contributed by many leading researchers in …
I have been teaching distributed systems and distributed algorithms related courses at graduate level for over 15 years and it …
If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step …
....The most comprehensive guide to designing practical and efficient algorithms!....This newly expanded and updated second edition of the best-selling classic …
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