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Fast Reliable Algorithms for Matrices with Structure (Advances in Design and Control)
Fast Reliable Algorithms for Matrices with Structure (Advances in Design and Control)
This book is the first to pay special attention to the combined issues of speed and numerical reliability in algorithm development. These two requirements have often been regarded as competitive, so much so that the design of fast and numerically reliable algorithms for large-scale structured systems of linear equations, in many cases, remains a...
The Mathematics of Combustion (Frontiers in Applied Mathematics)
The Mathematics of Combustion (Frontiers in Applied Mathematics)
This book delves into the rapidly changing area of combustion, in which asymptotic methods and bifurcation theory have made a significant impact as have the constant-density, small-heat-release models and other important contributions.

This is the second volume in the SIAM series Frontiers in Applied Mathematics. This continuing series
...
Matrix Analysis for Scientists and Engineers
Matrix Analysis for Scientists and Engineers
‘I found Laub's book a delightful read. It has become the sixth valuable ‘Matrix Analysis’ book on my shelves. As well as being admirably suited for the course at which it is aimed, its conciseness and clarity of presentation, together with the good index, make it easy to use for reference. The book is recommended both as a course...
Industrial Mathematics: A Course in Solving Real-World Problems
Industrial Mathematics: A Course in Solving Real-World Problems
'This is REAL. It has a different spirit. It gives students the distinct feeling that they could go into industry and actually work on problems like those in this book. The standard teaching of 'here is the mathematics, use it to solve this problem' has been replaced with 'here is a problem, use mathematics to solve it.' This book refreshes the...
Deblurring Images: Matrices, Spectra, and Filtering (Fundamentals of Algorithms 3)
Deblurring Images: Matrices, Spectra, and Filtering (Fundamentals of Algorithms 3)
“The book’s focus on imaging problems is very unique among the competing books on inverse and ill-posed problems. …It gives a nice introduction into the MATLAB world of images and deblurring problems.”

— Martin Hanke, Professor, Institut für Mathematik, Johannes-Gutenberg-Universität.
...
Numerical Methods for Least Squares Problems
Numerical Methods for Least Squares Problems
The method of least squares was discovered by Gauss in 1795. It has since become the principal tool for reducing the influence of errors when fitting models to given observations. Today, applications of least squares arise in a great number of scientific areas, such as statistics, geodetics, signal processing, and control.

In the last 20 years...

Parallel MATLAB for Multicore and Multinode Computers (Software, Environments and Tools)
Parallel MATLAB for Multicore and Multinode Computers (Software, Environments and Tools)
This is the first book on parallel MATLAB and the first parallel computing book focused on the design, code, debug, and test techniques required to quickly produce well-performing parallel programs.

MATLAB is currently the dominant language of technical computing with one million users worldwide, many of whom can benefit from the...

Learning MATLAB
Learning MATLAB

This engaging book is a very compact introduction to the essentials of the MATLAB programming language and is ideal for readers seeking a focused and brief approach to the software. Learning MATLAB contains numerous examples and exercises involving the software s most useful and sophisticated features along with an overview of the most...

Scientific Data Mining: A Practical Perspective
Scientific Data Mining: A Practical Perspective

Technological advances are enabling scientists to collect vast amounts of data in fields such as medicine, remote sensing, astronomy, and high-energy physics. These data arise not only from experiments and observations, but also from computer simulations of complex phenomena. They are often complex, with both spatial and temporal components. As...

Fuzzy Logic and Probability Applications: A Practical Guide
Fuzzy Logic and Probability Applications: A Practical Guide

Probability theory and fuzzy logic are the principal components of an array of methodologies for dealing with problems in which uncertainty and imprecision play important roles. In relation to probability theory, fuzzy logic is a new kid on the block. As such, it has been and continues to be, though to a lesser degree, an object of...

The Mathematics of Computerized Tomography (Classics in Applied Mathematics)
The Mathematics of Computerized Tomography (Classics in Applied Mathematics)

By computerized tomography (CT) we mean the reconstruction of a function from its line or plane integrals, irrespective of the field where this technique is applied. In the early 1970s CT was introduced in diagnostic radiology and since then, many other applications of CT have become known, some of them preceding the application in radiology...

Mathematical Methods in Image Reconstruction (Monographs on Mathematical Modeling and Computation)
Mathematical Methods in Image Reconstruction (Monographs on Mathematical Modeling and Computation)

Since the advent of computerized tomography in radiology, many imaging techniques have been introduced in medicine, science, and technology. This book describes the state of the art of the mathematical theory and numerical analysis of imaging. The authors survey and provide a unified view of imaging techniques, provide the necessary...

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