Mathematical Theory of Computation

Python’s simplicity and versatility make it an ideal language for both beginners and experienced programmers. Its syntax facilitates a smooth learn...

This book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural net...

Absolute Essentials of Ethereum is a concise textbook which guides the reader through the fascinating world of the emerging Ethereum ecosystem, fro...

Python’s simplicity and versatility make it an ideal language for both beginners and experienced programmers. Its syntax facilitates a smooth learn...

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

An Introduction to Operator Algebras is a concise text/reference that focuses on the fundamental results in operator algebras. Results discussed in...

Advanced Problem Solving Using Maple™: Applied Mathematics, Operations Research, Business Analytics, and Decision Analysis applies the mathematical...

This volume presents the refereed proceedings of the Guangzhou International Symposium on Computational Mathematics, held at the Zhongshan Universi...

This new work is an introduction to the numerical solution of the initial value problem for a system of ordinary differential equations. The first ...

PATTERN CLASSIFICATION a unified view of statistical and neural approaches The product of years of research and practical experience in pattern c...

Computer Arithmetic Volume III is a compilation of key papers in computer arithmetic on floating-point arithmetic and design. The intent is to show...

This book introduces the modern field of 3+1 numerical relativity. The book has been written in a way as to be as self-contained as possible, and o...

Labelled Markov processes are probabilistic versions of labelled transition systems with continuous state spaces. The book covers basic probability...

The present volume contains the contributions of the keynote speakers of the BIOMAT 2007 Symposium as well as selected contributed papers in the ar...

The explosion of data arising from rapid advances in communication, sensing and computational power has concentrated research effort on more advanc...

Computability has played a crucial role in mathematics and computer science, leading to the discovery, understanding and classification of decidabl...

Scientific Computation has established itself as a stand-alone area of knowledge at the borderline between computer science and applied mathematics...

Discrete Mathematics for Computer Science: An Example-Based Introduction is intended for a first- or second-year discrete mathematics course for co...

The sequential quadratic hamiltonian (SQH) method is a novel numerical optimization procedure for solving optimal control problems governed by diff...

A unique, integrated treatment of computer modeling and simulation "The future of science belongs to those willing to make the shift to simulation-...

Computational intelligence-based optimization methods, also known as metaheuristic optimization algorithms, are a popular topic in mathematical pro...

"In this revised edition of Multimedia Maths, Ivo De Pauw and Bieke Masselis cover screen related mathematical ideas, ranging from trigonometry to ...

Current standard numerical methods are of little use in solving mathematical problems involving boundary layers. In Robust Computational Techniques...

This textbook provides a comprehensive introduction to the theory and practice of validated numerics, an emerging new field that combines the stren...

Authored by three leading experts in the development of the language, this is a complete and authoritative description of the two languages (Fortra...

What is life? Is it just the biologically familiar--birds, trees, snails, people--or is it an infinitely complex set of patterns that a computer co...

The subject of sparse matrices has its root in such diverse fields as management science, power systems analysis, surveying, circuit theory, and st...

In the last decade, there have been an increasing convergence of interest and methods between theoretical physics and fields as diverse as probabil...

Triangular arrays are a unifying thread throughout various areas of discrete mathematics such as number theory and combinatorics. They can be used ...

The interplay between computability and randomness has been an active area of research in recent years, reflected by ample funding in the USA, nume...

Recursion is a topic that is ubiquitous in computer science. This book provides a leisurely and entertaining journey through recursion. It begins w...

One of the first things a student of partial differential equations learns is that it is impossible to solve elliptic equations by spatial marching...

This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing.  The book is comprised of fo...

Formal Languages, Automaton and Numeration Systems presents readers with a review of research related to formal language theory, combinatorics on w...

Digital information and communication technologies can be seen as a threat to privacy, a step forward for freedom of expression and communication, ...

The last 15 years have seen an explosion of interest in wavelets with applications in fields such as image compression, turbulence, human vision, r...

Some companies think that adopting devops means bringing in specialists or a host of new tools. With this practical guide, you'll learn why devops ...

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. Thi...

Machine Learning and Models for Optimization in Cloud’s main aim is to meet the user requirement with high quality of service, least time for compu...

Computational Literacy for the Humanities provides an introduction to mathematics and programming that is specifically designed for use by those en...