Algorithms and data structures

Seeking sparse solutions of underdetermined linear systems is required in many areas of engineering and science such as signal and image processing.

Seeking sparse solutions of underdetermined linear systems is required in many areas of engineering and science such as signal and image processing.

A Concise Introduction to Programming in Python, Second Edition provides a hands-on and accessible introduction to writing software in Python, with no prior programming experience required.

A Concise Introduction to Programming in Python, Second Edition provides a hands-on and accessible introduction to writing software in Python, with no prior programming experience required.

The goal of Computer Algebra: Concepts and Techniques is to demystify computer algebra systems for a wide audience including students, faculty, and professionals in scientific fields such as computer science, mathematics, engineering, and physics.

The goal of Computer Algebra: Concepts and Techniques is to demystify computer algebra systems for a wide audience including students, faculty, and professionals in scientific fields such as computer science, mathematics, engineering, and physics.

Algorithms and Data Structures in C++ introduces modern issues in the theory of algorithms, emphasizing complexity, graphs, parallel processing, and visualization.

Algorithms and Data Structures in C++ introduces modern issues in the theory of algorithms, emphasizing complexity, graphs, parallel processing, and visualization.

This second edition of Compact Numerical Methods for Computers presents reliable yet compact algorithms for computational problems.

This second edition of Compact Numerical Methods for Computers presents reliable yet compact algorithms for computational problems.

Digital Signal Processing Algorithms describes computational number theory and its applications to deriving fast algorithms for digital signal processing.

Digital Signal Processing Algorithms describes computational number theory and its applications to deriving fast algorithms for digital signal processing.

Biology is in the midst of a era yielding many significant discoveries and promising many more.

Biology is in the midst of a era yielding many significant discoveries and promising many more.

A revised and expanded advanced-undergraduate/graduate text (first ed.

A revised and expanded advanced-undergraduate/graduate text (first ed.

In this book the authors have assembled the "e;best techniques from a great variety of sources, establishing a benchmark for the field of statistical computing.

In this book the authors have assembled the "e;best techniques from a great variety of sources, establishing a benchmark for the field of statistical computing.

The first thing you will find out about this book is that it is fun to read.

The first thing you will find out about this book is that it is fun to read.

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization problems, path formation problems, etc.

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization problems, path formation problems, etc.

Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades.

Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades.

Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades.

Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades.

Introducing important concepts in the study of earthquakes related to retrofitting of structures to be made earthquake resistant.

Introducing important concepts in the study of earthquakes related to retrofitting of structures to be made earthquake resistant.

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

Many systems architecture optimization problems are characterized by a variable number of optimization variables.

Many systems architecture optimization problems are characterized by a variable number of optimization variables.

This book will cover heuristic optimization techniques and applications in engineering problems.

This book will cover heuristic optimization techniques and applications in engineering problems.

Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background.

Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background.

Discrete Mathematics has permeated the whole of mathematics so much so it has now come to be taught even at the high school level.

Discrete Mathematics has permeated the whole of mathematics so much so it has now come to be taught even at the high school level.

Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed.

Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed.

Intended as a second course on programming with data structures, this book is based on the notion of an abstract data type which is defined as an abstract mathematical model with a defined set of operations.

Understand and implement data structures and bridge the gap between theory and application.

Offers an up-to-date, unified treatment of combinatorial algorithms to solve network flow problems for graduate students and professionals.

This concise text offers an accessible, conceptual presentation for students in any quantitative field.

This concise text offers an accessible, conceptual presentation for students in any quantitative field.

Offers an up-to-date, unified treatment of combinatorial algorithms to solve network flow problems for graduate students and professionals.

This practical, applications-oriented book describes essential tools for efficiently handling massive amounts of data.

This practical, applications-oriented book describes essential tools for efficiently handling massive amounts of data.

The introduction to market design discusses the theory and empirical results relevant for the design of multi-object auctions and matching.

The introduction to market design discusses the theory and empirical results relevant for the design of multi-object auctions and matching.

This accessible introduction features case studies in online advertising, spectrum auctions, kidney exchange, and network management.