Computational Numerical Analysis

This introductory book presents the main themes, techniques, and applications of geometric integrators for researchers in mathematics, physics, astronomy, and chemistry who are already familiar with numerical tools for solving differential equations. It also offers a bridge from traditional training..

The library is based on NUMAL, the program assemblage developed and used at the Centre for Mathematics and Computer Science in Amsterdam, one of the world's leading research centers. The important characteristic of the library is its modular structure. Because it is highly compact, it is well-suited..

This book provides an introduction to geometric control design methodologies for asymptotic tracking and disturbance rejection of infinite dimensional systems. It also introduces several new control algorithms inspired by geometric invariance and asymptotic attraction for a wide range of dynamical c..

This book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance, illustrating numerous ways to attain the desired speedup. The book explains how to profile MATLAB code to identify performance hotspots and discusses various t..

Since the publication of the first edition in 2004, advances in mobile devices, positioning sensors, WiFi fingerprinting, and wireless communications, among others, have paved the way for developing new and advanced location-based services (LBSs). This second edition provides up-to-date information ..

Covers research, practice and developments in computational mechanics in geotechnical engineering. This book includes geomechanics of excavation and ground reinforcement in excavations, oil exploration and mining, as well as environmental aspects...

With the considerable increase of AI applications, AI is being increasingly used to solve optimization problems in engineering. In the past two decades, the applications of artificial intelligence in power systems have attracted much research. This book covers the current level of applications of ar..

This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language – the carrier of knowledge and intelligence, and intr..

Big Data is defined as "a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools". The challenges include capture, storage, search, sharing, analysis, and visualization." Big Data has always been a major challenge in geoinformatics a..

Bio-Inspired Computing for Image and Video Processing covers interesting and challenging new theories in image and video processing. It addresses the growing demand for image and video processing in areas, like secured biomedical imaging, biometrics, remote sensing, texture understanding, pattern re..

Using new technologies such as NFV, SDN, Cloud and Big Data, AT&T’s engineers outlined and implemented a radical network transformation that dramatically reduced capital and operating costs in 2012, when rampant traffic growth necessitated a change in network architecture and design. This book is ba..

The first book available on C++ programming that is written specifically for a mathematical audience, C++ for Mathematicians omits the language’s more obscure features in favor of the aspects of greatest utility for mathematical work. Emphasizing the essential role of practice as part of the learnin..