This book introduces the new realm of superrecursive algorithms and the development
of mathematical models for them. Although many still believe that only recursive
algorithms exist and that only some of them are realizable, there are many
situations in which people actually work with superrecursive algorithms....
This is the first graduate textbook on the algorithmic aspects of real algebraic geometry. The main ideas and techniques presented form a coherent and rich body of knowledge. Mathematicians will find relevant information about the algorithmic aspects. Researchers in computer science and engineering will find the required mathematical...
The book's text and many photographs introduce readers to the renowned teachers and researchers who are still well known in engineering circles.
Electrical engineering is a protean profession. Today the field embraces many disciplines that seem far removed from its roots in the telegraph, telephone, electric...
A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundationsof Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today’s more powerful statistical...
The original Handbook of Evolutionary Computation (Back et a1 1997) was
designed to fulfil1 the need for a broad-based reference book reflecting the
important role that evolutionary computation plays in a variety of disciplinesranging
from the natural sciences and engineering to evolutionary biology and
computer...
From the beginning of the last decade we have witnessed a revolution in computer technology and an explosion in user-friendly applications.This revolution is still continuing today with low-cost personal computer systems that rival the performance of expensive workstations. This technological prowess should be brought to bear on the...
The presence of uncertainty in a system description has always been a critical issue in control. The main objective of Randomized Algorithms for Analysis and Control of Uncertain Systems, with Applications (Second Edition) is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of...
Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...
Master the tools of MATLAB through hands-on examples Shows How to Solve Math Problems Using MATLAB
The mathematical software MATLAB® integrates computation, visualization, and programming to produce a powerful tool for a number of different tasks in mathematics. Focusing on the...
The book presents an interesting and pleasant introduction to the topic, which can guide the reader to the knowledge of the existing decomposition methods, and to the choice of those most promising for the problems he has to face. -- Zentralblatt MATH
Data Mining is the science and technology of exploring data in...
A long time ago, when younger and rasher mathematicians, we both momentarily harboured the ambition that one day, older and wiser, we might write a multivolume treatise titled “On the Mathematical Foundations of Numerical Analysis”. And then it dawned that such a creation already exists: it is called ‘a mathematics library’....
