Statisticians know that the clean data sets that appear in textbook problems have little to do wi...

In this book the authors reduce a wide variety of problems arising in system and control theory t...

Well known for the clear, inductive nature of its exposition, this reprint volume is an excellent...

How do you select a winner from a field of candidates? How do you rank a field of candidates? How...

Developments in optimization theory, including emphasis on large problems and on interior-point m...

The Lanczos and conjugate gradient (CG) algorithms are fascinating numerical algorithms. This boo...

This book provides a unified and accessible introduction to the basic theory of finite difference...

Proceedings of the Eighteenth Annual Acm-Siam Symposium on Discrete Algorithms

Learning through doing is the foundation of this book, which allows readers to explore case studi...

This book serves well as an introduction into the more theoretical aspects of the use of spline m...

This book offers an introductory and intermediate-level treatment of all the essential ingredient...

Smart Material Systems describes several novel applications currently under investigation that ex...

This book provides a protocol for conducting gauge repeatability and reproducibility (R&R) experi...

A study of the art and science of solving elliptic problems numerically, with an emphasis on prob...

This book is devoted entirely to total least squares and the authors give a unified presentation ...

The finite element method (FEM) has become the most widely accepted general-purpose technique for...

Tremendous progress has been made in the scientific and engineering disciplines regarding the use...

This first title in SIAM’s Spotlights book series is about the interplay between modeling, analys...

Many products, such as foods, personal-care products, beverages, and cleaning agents, are made by...

This book introduces key concepts for systematically controlling engineering systems that possess...

Bose–Einstein condensation is a phase transition in which a fraction of particles of a boson gas ...

This classic textbook provides a modern and complete guide to the calculation of eigenvalues of m...

Physics and Partial Differential Equations, Volume II proceeds directly from Volume I (SIAM, 2012...

In this much-expanded second edition, author Yair Shapira presents new applications and a substan...

This classic book provides a rigorous treatment of the Riesz–Fredholm theory of compact operators...

In the 1820s Gauss published two memoirs on least squares, which contain his final, definitive tr...

This monograph is centered on quantitative analysis of nerve-cell behavior.

This textbook develops the use of probability and statistics in engineering reliability and maint...

An accessible text for the study of numerical methods for solving least squares problems remains ...

Asymptotic methods are frequently used in many branches of both pure and applied mathematics, and...

This book introduces finite difference methods for both ordinary differential equations (ODEs) an...

This book describes state-of-the-art advances and applications of the unified transform and its r...

Diffusion has been used extensively in many scientific disciplines to model a wide variety of phe...

Like a pianist who practices from a book of études, readers of Programming Projects in C for Stud...

Riemann–Hilbert problems are fundamental objects of study within complex analysis. Many problems ...

This textbook provides undergraduate students with an introduction to optimization and its uses f...

Mathematical Models in Biology is an introductory book for readers interested in biological appli...

LAPACK is a library of numerical linear algebra subroutines designed for high performance on work...

Exact and Approximate Modeling of Linear Systems: A Behavioral Approach elegantly introduces the ...

A comprehensive treatment of optimization problems involving uncertain parameters for which stoch...

This book addresses modern nonlinear programming (NLP) concepts and algorithms, especially as the...

The linear sampling method is the oldest and most developed of the qualitative methods in inverse...

Provides an introduction to the state of the art of the probability theory that is most directly ...

Shows both the shortcomings and benefits of each technique, and even demonstrates useful combinat...

Topics include: ways modern statistical procedures can yield estimates of pi more precisely than ...

Included in this volume are the Invited Talks given at the 5th International Congress of Industri...

Provides a comprehensive and in-depth treatment of one of the most important control problems: th...

The calculation of partial derivatives is a fundamental need in scientific computing. Automatic d...