Algorithms and data structures

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.

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.

Build a Keras model to scale and deploy on a Kubernetes cluster We have seen an exponential growth in the use of Artificial Intelligence (AI) over last few years.

Build a Keras model to scale and deploy on a Kubernetes cluster We have seen an exponential growth in the use of Artificial Intelligence (AI) over last few years.

An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational intelligence techniques Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fundamentals of various metaheuristics and their application to data clustering.

An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational intelligence techniques Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fundamentals of various metaheuristics and their application to data clustering.

Metaheuristic Algorithms in Maritime Operations Optimization focuses on the seaside and port side problems regarding the maritime transportation.

Metaheuristic Algorithms in Maritime Operations Optimization focuses on the seaside and port side problems regarding the maritime transportation.

Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms.

Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms.

The essential guide to solving algorithmic and networking problems in commercial computer games, revised and extended Algorithms and Networking for Computer Games, Second Edition is written from the perspective of the computer scientist.

The essential guide to solving algorithmic and networking problems in commercial computer games, revised and extended Algorithms and Networking for Computer Games, Second Edition is written from the perspective of the computer scientist.

Evolutionary computation algorithms are employed to minimize functions with large number of variables.

Evolutionary computation algorithms are employed to minimize functions with large number of variables.

A computational perspective on partial order and lattice theory, focusing on algorithms and their applications This book provides a uniform treatment of the theory and applications of lattice theory.

A computational perspective on partial order and lattice theory, focusing on algorithms and their applications This book provides a uniform treatment of the theory and applications of lattice theory.

Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles.

Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles.

Describes how evolutionary algorithms (EAs) can be used to identify, model, and minimize day-to-day problems that arise for researchers in optimization and mobile networking Mobile ad hoc networks (MANETs), vehicular networks (VANETs), sensor networks (SNs), and hybrid networks each of these require a designer s keen sense and knowledge of evolutionary algorithms in order to help with the common issues that plague professionals involved in optimization and mobile networking.

Describes how evolutionary algorithms (EAs) can be used to identify, model, and minimize day-to-day problems that arise for researchers in optimization and mobile networking Mobile ad hoc networks (MANETs), vehicular networks (VANETs), sensor networks (SNs), and hybrid networks each of these require a designer s keen sense and knowledge of evolutionary algorithms in order to help with the common issues that plague professionals involved in optimization and mobile networking.

This book combines the research activities of the authors, both of whom are researchers at Ecole Nationale de l Aviation Civile (French National School of Civil Aviation), and presents their findings from the last 15 years.

This book combines the research activities of the authors, both of whom are researchers at Ecole Nationale de l Aviation Civile (French National School of Civil Aviation), and presents their findings from the last 15 years.

The confluence of cloud computing, parallelism and advanced machine intelligence approaches has created a world in which the optimum knowledge system will usually be architected from the combination of two or more knowledge-generating systems.

The confluence of cloud computing, parallelism and advanced machine intelligence approaches has created a world in which the optimum knowledge system will usually be architected from the combination of two or more knowledge-generating systems.

BISTATIC SAR DATA PROCESSING ALGORITHMS Synthetic Aperture Radar (SAR) is critical for remote sensing.

BISTATIC SAR DATA PROCESSING ALGORITHMS Synthetic Aperture Radar (SAR) is critical for remote sensing.

A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics.

A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics.

As a society, we're in a constant struggle to control uncertainty and predict the unknown.

This book examines how algorithms in criminal justice, education, housing, elections and beyond affect autonomy, freedom, and democracy.

This book examines how algorithms in criminal justice, education, housing, elections and beyond affect autonomy, freedom, and democracy.

Worked problems offer an interesting way to learn and practice with key concepts of string algorithms and combinatorics on words.

Worked problems offer an interesting way to learn and practice with key concepts of string algorithms and combinatorics on words.

Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.

Programmers love Go because it is lightweight, easy to work with, and easy to read.

Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.

A concise, accessible guide to the modern optimization methods that are transforming computer science, data science, and machine learning.

This book is an essential guide designed to equip you with the vital tools and knowledge needed to excel in data science.

All the algorithms, proofs, and implementations in Python you need to know for tech job interviews and coding competitions.

All the algorithms, proofs, and implementations in Python you need to know for tech job interviews and coding competitions.

Algorithms will be what we want them to be: we must choose the world we want to live in.

A complete introduction to recent advances in preprocessing analysis, or kernelization, with extensive examples using a single data set.

A concise, accessible guide to the modern optimization methods that are transforming computer science, data science, and machine learning.

Algorithms will be what we want them to be: we must choose the world we want to live in.

A complete introduction to recent advances in preprocessing analysis, or kernelization, with extensive examples using a single data set.

Focuses on the interplay between algorithm design and the underlying computational models.

An easy-to-understand guide covering the key principles of finite element methods and its applications to differential equations.

Helps students transition from problem solving to proving theorems, with a new chapter on number theory and over 150 new exercises.