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...