Algorithms and data structures

Starting from the basics of computability, this undergraduate introduction focuses on the P versus NP Question and the theory of NP-completeness.

A coherent source for applications including robotics, computational biology, graphics, manufacturing, aerospace applications and medicine.

This thoroughly revised second edition of Shimon Even''s Graph Algorithms explains algorithms directly and intuitively, in formal but simple language.

First comprehensive tutorial and reference for C# implementation of data structures and algorithms.

A rigorous, self-contained introduction to the theory of operational semantics of programming languages and its use.

Textbook that teaches students how to think about algorithms like an expert, without getting bogged down in formal proof.

This book presents a coherent and unified account of classical and more advanced techniques for analyzing the performance of randomized algorithms.

This book presents basic tools from probability theory used in algorithmic applications, with concrete examples.

This book describes a range of string problems in computer science and molecular biology and the algorithms developed to solve them.

This book describes data structures and data structure design techniques for functional languages.

This book presents basic tools from probability theory used in algorithmic applications, with concrete examples.

Lavishly illustrated and entertaining account of the surprising and useful results of the maths of folding and unfolding.

Designed as a textbook for graduate courses on algorithms, this book presents efficient algorithms that find provably near-optimal solutions.

Reveals the interdisciplinary field of networks, which changes how we look at social, financial and technological interactions in modern society.

This book, first published in 2007, covers algorithmic game theory, with contributions from all the leading researchers.

This advanced graduate textbook gives an authoritative and insightful description of the major ideas and techniques of public key cryptography.

This guidebook is for those who want to use computational experiments to support their work in algorithm design and analysis.

This thoroughly revised second edition of Shimon Even''s Graph Algorithms explains algorithms directly and intuitively, in formal but simple language.

Surveys of current research in logical aspects of computer science that apply finite and infinite model-theoretic methods.

A simple, powerful method that is iterative and useful in a variety of settings for exact and approximate optimization.

Designed as a textbook for graduate courses on algorithms, this book presents efficient algorithms that find provably near-optimal solutions.

Provides the first comprehensive, unified presentation of the structural, algorithmic and applied aspects of the theory of Boolean functions.

This book explores cognitive behavior among Internet of Things.

Big Data in History introduces the project to create a world-historical archive, tracing the last four centuries of historical dynamics and change.

This book focuses on fuzzy logic, a paradigm-shifting approach that challenges the binary simplicity of traditional logic systems.

This book provides a comprehensive overview of the intersection of computational intelligence, health informatics, and computer-aided diagnosis (CAD).

This book explains the best practices and their respective outcomes in artificial intelligence (AI) to meet sustainable development goals and demands.

This book explores the application of the complex relationship between concept drift and cutting-edge large language models to address the problems and opportunities in navigating changing data landscapes.

The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education.

This book provides overview of numerous control schemes for non-minimum phase and dead-time systems.

Exploring the application and formulation of the EM algorithm, The EM Algorithm and Related Statistical Models offers a valuable method for constructing statistical models when only incomplete information is available, and proposes specific estimation algorithms for solutions to incomplete data problems.

The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education.

This book explores the dynamically developing areas of quantum computing and quantum cryptography.

This book explores the synergy between very large-scale integration (VLSI) and machine learning (ML) and its applications across various domains.

No detailed description available for "e;Asynchronous Programming with C++"e;.

Your secret weapon to understanding and using!

Your secret weapon to understanding and using!

The book provides a single volume covering detailed descriptions about various delivery systems, their principles and how these are put in use for the treatment of multiple diseases.

The book provides a single volume covering detailed descriptions about various delivery systems, their principles and how these are put in use for the treatment of multiple diseases.

ALGORITHMS IN BIOINFORMATICS Explore a comprehensive and insightful treatment of the practical application of bioinformatic algorithms in a variety of fields Algorithms in Bioinformatics: Theory and Implementation delivers a fulsome treatment of some of the main algorithms used to explain biological functions and relationships.

ALGORITHMS IN BIOINFORMATICS Explore a comprehensive and insightful treatment of the practical application of bioinformatic algorithms in a variety of fields Algorithms in Bioinformatics: Theory and Implementation delivers a fulsome treatment of some of the main algorithms used to explain biological functions and relationships.

NATURE-INSPIRED ALGORITHMS AND APPLICATIONS The book s unified approach of balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work.

NATURE-INSPIRED ALGORITHMS AND APPLICATIONS The book s unified approach of balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work.

Efficient Single Board Computers (SBCs) and advanced VLSI systems have resulted in edge analytics and faster decision making.

Efficient Single Board Computers (SBCs) and advanced VLSI systems have resulted in edge analytics and faster decision making.

Geomatics is a field of science that has been intimately intertwined with our daily lives for almost 30 years, to the point where we often forget all the challenges it entails.

Geomatics is a field of science that has been intimately intertwined with our daily lives for almost 30 years, to the point where we often forget all the challenges it entails.

Almost every month, a new optimization algorithm is proposed, often accompanied by the claim that it is superior to all those that came before it.

Almost every month, a new optimization algorithm is proposed, often accompanied by the claim that it is superior to all those that came before it.

A friendly introduction to the most useful algorithms written in simple, intuitive English The revised and updated second edition of Essential Algorithms, offers an accessible introduction to computer algorithms.