Textbooks

SIAM publishes many graduate and undergraduate textbooks and books that can be used as supplemental course texts. Examples and problem sets are included in our textbooks, and solutions are often available in the book or as an online supplement. Many of our texts feature online components like additional problem sets, appendices, and program files.

If you are interested in considering one of our books for a course, please complete the Examination Copy Request Form.

If you have already adopted a SIAM text for classroom use and need a copy of the text, please fill out our Desk Copy Request Form. You will be asked to either a) provide us with a link to your online syllabus showing the text as a required text, b) fax us a copy of your syllabus showing the text as a required text, or c) fax us a copy of your bookstore’s order confirmation for the adopted text.

Student Discount Pricing

Textbooks are available in the following subject areas:

Applied Geometry and Geometric Design General Interest/Social Sciences
Asymptotic and Perturbation Methods Image Processing
Atmospheric and Oceanographic Sciences Linear Algebra and Matrix Theory
Biological Sciences Material Science
Computational Mathematics and Computer Science Numerical Analysis
Control and Systems Theory Optimization
Data Mining Ordinary and Partial Differential Equations
Dynamical Systems Physical Applied Mathematics and Mathematical Modeling
Economics Probability and Statistics
Education Real and Complex Analysis
Fluid Mechanics Simulation and Modeling
Functional Analysis Waves

 


 

Applied Geometry and Geometric Design

Approximation and Modeling with B-Splines
Klaus Höllig and Jörg Hörner
Appropriate as an advanced undergraduate or first-year graduate text for courses on splines or approximation and geometric modeling for students in mathematics, engineering, and computer science. Practitioners in these fields who are using B-splines in numerical simulations, computer-aided design, and visualization will also find the book useful in their work.

Introduction to the Mathematics of Subdivision Surfaces
Lars-Erik Andersson and Neil F. Stewart

Recommended for advanced graduate students.

top

Asymptotic and Perturbation Methods

Perturbations: Theory and Methods
James A. Murdock

Singular Perturbations and Hysteresis
Michael P. Mortell, Robert E. O'Malley, Alexei Pokrovskii, and Vladimir Sobolev, Editors

Asymptotic Approximations of Integrals
R. Wong

top

Atmospheric and Oceanographic Sciences

Mathematics and Climate
Hans Kaper and Hans Engler
This book is written at the level of advanced undergraduate and beginning graduate students and assumes only basic familiarity with linear algebra, calculus, elementary differential equations, and statistics.

Spectral Numerical Weather Prediction Models
Martin Ehrendorfer
Intended as a primary text for advanced undergraduate/first year graduate.

top

Biological Sciences

A Course in Mathematical Biology: Quantitative Modeling with Mathematical & Computational Methods
Gerda de Vries, Thomas Hillen, Mark Lewis, Johannes Müller, and Birgitt Schönfisch
Intended for upper level undergraduate students in mathematics or similar quantitative sciences. Also appropriate for beginning graduate students in biology, medicine, ecology, and other sciences.
--Sample Chapter

Mathematical Models in Biology
Leah Edelstein-Keshet
Recommended for undergraduate mathematical biology students.

A Primer on Mathematical Models in Biology
Lee A. Segel and Leah Edelstein-Keshet
This book is intended for upper level undergraduates in mathematics, graduate students in biology, and lower-level graduate students in mathematics who would like exposure to biological applications.

Probabilistic Boolean Networks: The Modeling and Control of Gene Regulatory Networks
Ilya Shmulevich and Edward R. Dougherty
Recommended for all students.

top

Computational Mathematics and Computer Science

Numerical Methods for Evolutionary Differential Equations
Uri M. Ascher
Recommended for graduate students.

A First Course in Numerical Methods
Uri M. Ascher and Chen Greif
Recommended as a primary text for undergraduate or first-year graduate students.

Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations
Uri M. Ascher and Linda R. Petzold
Recommended for senior undergraduate or beginning graduate students

Recipes for Continuation
Harry Dankowicz and Frank Schilder
This book is intended for students and teachers of nonlinear dynamics and engineering, as well as engineers and scientists engaged in modeling and simulation, and is valuable to potential developers of computational tools for analysis of nonlinear dynamical systems. It assumes some familiarity with MATLAB programming and a theoretical sophistication expected of upper-level undergraduate or first-year graduate students in applied mathematics and/or computational science and engineering.

Computational Matrix Analysis
Alan J. Laub
Intended for senior undergraduate and beginning graduate students.

Understanding Search Engines: Mathematical Modeling and Text Retrieval, Second Edition
Michael W. Berry and Murray Browne
Recommended for all students.

Computational Methods for Multiphase Flows in Porous Media
Zhangxin Chen, Guanren Huan, and Yuanle Ma
Recommended for graduate or advanced undergraduate students.
--Sample Chapter

Numerical Linear Algebra and Applications, Second Edition
Biswa Nath Datta

Recommended for all students.

Learning MATLAB
Tobin A. Driscoll
Recommended for all students.

Numerical Methods for Special Functions
Amparo Gil, Javier Segura, Nico Temme
Recommended for general numerical analysis courses.
--Sample Chapter

MATLAB Guide, Second Edition
Desmond J. Higham and Nicholas J. Higham
Recommended for all students.
Sample Chapter

Finite Element Methods with B-Splines
Klaus Höllig
Recommended for graduate students.

Numerical Matrix Analysis: Linear Systems and Least Squares
Ilse C. F. Ipsen
Recommended for advanced undergraduate and first year graduate students.

Solving Nonlinear Equations with Newton's Method
C. T. Kelley
Recommended for graduate students with a working knowledge of MATLAB.

Parallel MATLAB for Multicore and Multinode Computers
Jeremy Kepner
Recommended for advanced undergraduate and graduate students.

Numerical Computing with MATLAB
Cleve Moler
Recommended for all students.

Introduction to Interval Analysis
Ramon E. Moore, R. Baker Kearfott, and Michael J. Cloud
Recommended for all students.

Linear and Nonlinear Inverse Problems with practical Applications
Jennifer Mueller and Samuli Siltanen
Recommended for advanced undergraduate and graduate students.

Scientific Computing with Case Studies
Dianne P. O'Leary
Recommended for advanced undergraduate and graduate students.

Solving PDEs in C++: Numerical Methods in a Unified Object-Oriented Approach, Second Edition
Yair Shapira
Recommended for advanced undergraduate and graduate students.

Numerical Polynomial Algebra
Hans J. Stetter
Recommended for graduate students.

Spectral Methods in MATLAB
Lloyd N. Trefethen
Recommended for advanced undergraduate and graduate students studying numerical methods for PDEs.

Insight Through Computing: A MATLAB Introduction to Computational Science and Engineering
Charles F. Van Loan and K.-Y. Daisy Fan

Recommended for undergraduate students.

The Matrix Eigenvalue Problem: GR and Krylov Subspace Methods
David S. Watkins
Intended for graduate students in numerical linear algebra
--Sample Chapter

top

Control and Systems Theory

Approximation of Large-Scale Dynamical Systems
Athanasios C. Antoulas
Recommended for graduate students.
--Sample Chapter

Dynamic Noncooperative Game Theory, Second Edition
Tamer Basar and Geert Jan Olsder
Recommended for graduate-level courses on optimal control theory.

Practical Methods for Optimal Control and Estimation Using Nonlinear Programming, Second Editon
John T. Betts

Recommended for advanced undergraduate and graduate students.

Control Perspectives on Numerical Algorithms and Matrix Problems
Amit Bhaya and Eugenius Kaszkurewicz
Recommended for senior undergraduate and graduate students.
--Sample Chapter

Shapes and Geometries: Metrics, Analysis, Differential Calculus, and Optimization, Second Edition
M. C. Delfour and J.-P. Zolésio
This book is intended for applied mathematicians and advanced engineers and scientists, but the book is also structured as an initiation to shape analysis and calculus techniques for a broader audience of mathematicians.
--Sample Chapter

Applied Stochastic Processes and Control for Jump Diffusions: Modeling, Analysis, and Computation
Floyd B. Hanson
This book is written for graduate students in applied mathematics, science and engineering.
--Sample Chapter

Classical Control Using H∞ Methods: An Introduction to Design
J. William Helton and Orlando Merino
Recommended as supplementary text for students of control at any level; main text for course on practial H∞ design.

Classical Control Using H∞ Methods: Theory, Optimization, and Design
J. William Helton and Orlando Merino
Recommended for an advanced seminar in control theory in engineering departments or applied functional or complex analysis in mathematics departments; second course in control at senior undergraduate or beginning graduate level.

L1 Adaptive Control Theory: Guaranteed Robustness with Fast Adaptation
Naira Hovakimyan and Chengyu Cao
This book is intended for graduate students interested in pursuing new directions in research and developing technology at reduced costs.

Nonlinear Output Regulation: Theory and Applications
Jie Huang
Recommended for graduate students.

Adaptive Control Tutorial
Petros Ioannou and Baris Fidan
Recommended for graduate students.
-- Sample Chapter

Singular Perturbation Methods in Control: Analysis and Design
Petar Kokotovic, Hassan K. Khalil, and John O'Reilly
Suitable for a graduate level introduction to singular perturbation methods in control.

Boundary Controls of PDEs: A Course on Backstepping Designs
Miroslav Krstic and Andrey Smyshlyaev
Recommended for graduate students.

Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities
F. L. Lewis, J. Campos, and R. Selmic
Recommended for graduate students.

Stochastic Processes, Estimation, and Control
Jason L. Speyer and Walter H. Chung
Recommended for first year graduate students in systems and control.

Nonlinear Systems Analysis, Second Edition
M. Vidyasagar
Recommended for graduate students.

Linear Feedback Control: Analysis and Design with MATLAB
Dingyü Xue, YangQuan Chen, and Derek P. Atherton
-- Sample Chapter

From Vector Spaces to Function Spaces: Introduction to Functional Analysis with Applications
Y. Yamamoto
Recommended for advanced undergraduate or graduate students.

top

Data Mining

Graph Algorithms in the Language of Linear Algebra
Jeremy Kepner and John Gilbert
This book is suitable as the primary text for a class on linear algebraic graph algorithms and as either the primary or supplemental text for a class on graph algorithms for engineers and scientists without training in computer science.

Matrix Methods in Data Mining and Pattern Recognition
Lars Eldén
Suitable for undergraduate students who have previously taken an introductory scientific computing/numerical analysis course. Graduate students in various data mining and pattern recognition areas who need an introduction to linear algebra techniques will also find the book useful.
-- Sample Chapter

Scientific Data Mining: A Practical Perspective
Chandrika Kamath
Recommended for undergraduate and first-year graduate students.

top

Dynamical Systems

Approximation of Large-Scale Dynamical Systems
Athanasios C. Antoulas
Recommended for graduate students.
--Sample Chapter

Simulating, Analyzing, and Animating Dynamical Systems: A Guide to XPPAUT for Researchers and Students
Bard Ermentrout

Hidden Markov Models and Dynamical Systems
Andrew M. Fraser
Recommended for advanced undergraduate and graduate students.

Numerical Methods for Bifurctaions of Dynamical Equilibria
Willy J. F. Govaerts
Recommended for graduate students.

Differential Dynamical Systems
James D. Meiss
Recommended for senior undergraduates and first-year graduate students.
-- Sample Chapter

top

Economics

Mathematical Optimization and Economic Theory
Michael D. Intriligator
Recommended for graduate students and advanced undergraduate students.

Elementary Calculus of Financial Mathematics
A. J. Roberts
Recommended for undergraduate students.

top

Education

Ants, Bikes, and Clocks: Problem Solving for Undergraduates
William Briggs

Handbook of Writing for the Mathematical Sciences, Second Edition
Nicholas J. Higham

top

Fluid Mechanics

Transonic Aerodynamics: Problems in Asymptotic Theory
L. Pamela Cook, Editor

Vortex Methods and Vortex Motion
Karl E. Gustafson and James A. Sethian, Editors

Introduction to the Numerical Analysis of Incompressible Viscous Flows
William Layton
Recommended for graduate students.

Mathematical Biofluiddynamics
Sir James Lighthill

Mathematical Analysis of Viscoelastic Flows
Michael Renardy

Navier-Stokes Equations and Nonlinear Functional Analysis, Second Edition
Roger Temam

 

Functional Analysis

Linear and Nonlinear Functional Analysis with Applications
Philippe G. Ciarlet

This book is intended for advanced undergraduates, graduate students, and researchers and is ideal for teaching or self-study.

top

 

General Interest/Social Sciences

Mathematics of Social Choice: Voting, Compensation, and Division
Christoph Börgers

Recommended for undergraduate students.

top

 

Image Processing

Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods
Tony F. Chan and Jianhong (Jackie) Shen
Recommended for graduate students.

Introduction to the Mathematics of Medical Imaging, Second Edition
Charles L. Epstein
Recommended for advanced undergraduate or beginning graduate level students.
--Sample Chapter

Deblurring Images: Matrices, Spectra, and Filtering
Per Christian Hansen, James G. Nagy, and Dianne P. O’Leary
Recommended for beginners in the field of image restoration and regularization.
--Sample Chapter

FAIR: Flexible Algorithms for Image Registration
Jan Modersitzki

Recommended for advanced graduate students.

top

Linear Algebra and Matrix Theory

Analytic Perturbation Theory and Its Applications
Konstantin E. Avrachenkov, Jerzy A. Filar, and Phil G. Howlett
Recommended for applied and pure mathematicians, researchers, and engineers interested in systems and control. It is also suitable for advanced undergraduate, first-year graduate, and advanced graduate one-semester classes covering perturbation theory in various mathematical uses.

Spectral Properties of Banded Toeplitz Matrices
Albrecht Böttcher, Sergei M. Grudsky, Editors
Portions of this text are suitable for use as a graduate-level text on Toeplitz matrices or analysis.
-- Sample Chapter

Direct Methods for Sparse Linear Systems
Timothy A. Davis
Recommended for graduate students.

Applied Numerical Linear Algebra
James W. Demmel
Recommended as a first year graduate textbook for a numerical linear algebra course.

Learning MATLAB
Tobin A. Driscoll
Recommended for advanced undergraduate and graduate students.

Matrix Methods in Data Mining and Pattern Recognition
Lars Eldén
Suitable for undergraduate students who have previously taken an introductory scientific computing/numerical analysis course. Graduate students in various data mining and pattern recognition areas who need an introduction to linear algebra techniques will also find the book useful.
-- Sample Chapter

Invariant Subspaces of Matrices with Applications
Israel Gohberg, Peter Lancaster and Leiba Rodman
Recommended for readers who have had undergraduate-level courses in linear algebra and complex function theory.

Deblurring Images: Matrices, Spectra, and Filtering
Per Christian Hansen, James G. Nagy, and Dianne P. O’Leary
Recommended for beginners in the field of image restoration and regularization.
--Sample Chapter

Numerical Matrix Analysis: Linear Systems and Least Squares
Ilse C. F. Ipsen
Recommended for advanced undergraduate and first year graduate students.

Matrix Analysis for Scientists and Engineers
Alan J. Laub
Intended for senior undergraduate and beginning graduate students.
--Sample Chapter

Matrix Analysis and Applied Linear Algebra
Carl D. Meyer
Recommended for undergraduate and beginning graduate courses in applied linear algebra. Includes CD-ROM and Solution's Manual.
The book can be viewed online at www.matrixanalysis.com.

Iterative Solution of Nonlinear Equations in Several Variables
J. M. Ortega and W. C. Rheinboldt
Recommended as an introduction for graduate students.

Iterative Methods for Sparse Linear Systems, Second Edition
Yousef Saad
Recommended for graduate students.

Numerical Methods for Large Eigenvalue Problems, Revised Edition
Yousef Saad
Recommended for advanced graduate students.

Numerical Linear Algebra
Lloyd N. Trefethen and David Bau, III
Recommended as an introductory graduate textbook for a numerical linear algebra course.

top

Material Science

Smart Material Systems: Model Development
Ralph C. Smith
Recommended for graduate students.

top

Numerical Analysis

Computational Methods for Option Pricing
Yves Achdou and Olivier Pironneau
Recommended for advanced graduate students.

Eigenvalues of Matrices, Revised Edition
Françoise Chatelin
Recommended for undergraduate students.

Numerical Solution of Algebraic Riccati Equations
Dario A. Bini, Bruno Iannazzo, and Beatrice Meini
Recommended for advanced graduate students.

The SIAM 100-Digit Challenge: A Study in High-Accuracy Numerical Computing
Folkmar Bornemann, Dirk Laurie, Stan Wagon, and Jörg Waldvogel
Recommended for graduate students.

Spectral Approximation of Linear Operators
Françoise Chatelin
Recommended for advanced undergraduate and graduate students.

The Finite Element Method for Elliptic Problems
Philippe G. Ciarlet
Recommended for graduate students.

Numerical Methods in Scientific Computing, Volume 1
Germund Dahlquist, Åke Björck
Recommended for graduate students.

Collected Lectures on the Preservation of Stability Under Discretization
Donald Estep and Simon Tavener, Editors
Recommended for graduate students.

Numerical Methods for Special Functions
Amparo Gil, Javier Segura, Nico Temme
Recommended for general numerical analysis courses.
--Sample Chapter

Discrete Inverse Problems: Insight and Algorithms
Per Christian Hansen

Recomended for advanced undergraduate and graduate students.

Functions of Matrices: Theory and Computation
Nicholas J. Higham
Recommended for graduate students.
--Sample Chapter

Finite Difference Methods for Ordinary and Partial Differential Equations: Steady-State and Time-Dependent Problems
Randall J. LeVeque
Recommended for introductory graduate-level courses.
-- Sample Chapter

Discontinuous Galerkin Methods for Solving Elliptic and Parabolic Equations: Theory and Implementation
Béatrice Rivière
Recommended for graduate students.

Afternotes on Numerical Analysis
G. W. Stewart
Recommended as a supplement for an introductory numerical analysis course.

Afternotes Goes to Graduate School
G. W. Stewart
Recommended as a supplemental text for graduate courses in scientific computing and numerical analysis.

Finite Difference Schemes and Partial Differential Equations, Second Edition
John C. Strikwerda
Recommended for gradaute students.
--Sample Chapter

Approximation Theory and Approximation Practice
Lloyd N. Trefethen
Recommended for graduate students and advanced undergraduates interested in numerical analysis or approximation theory.

top

Optimization

Generalized Concavity
Mordecai Avriel, Walter E. Diewert, Siegfried Schaible, and Israel Zang
Recommended for advanced undergraduate and graduate students.

Nonlinear Programming: Concepts, Algorithms, and Applications to Chamical Processes
Lorenz T. Biegler
Recommended for advanced undergraduate and graduate students.

Semidefinite Optimization and Convex Algebraic Geometry
Edited by Grigoriy Blekherman, Pablo A. Parrilo, and Rekha Thomas
Recommended for advanced undergraduates and first year graduate students.

Computational Optimization of Systems Governed by Partial Differential Equations
Alfio Borzì and Volker Schulz
Recommended for graduate students and research colleagues.

Assignment Problems, Revised Reprint
Rainer Burkard, Mauro Dell'Amico, and Silvano Martello
Recommended for advanced undergraduate and graduate students.

Introduction to Derivative-Free Optimization
Andrew R. Conn, Katya Scheinberg, and Luis N. Vicente
Recommended for advanced undergraduate and graduate students.

Introduction to Optimization and Semidifferential Calculus
M. C. Delfour
This book is intended as a textbook for a one-term course in Optimization and Semi-differential Calculus at the undergraduate level for students in Mathematics, Physics, Engineering, Economics, and other disciplines with a basic knowledge of mathematical analysis and linear algebra. The required background material has been added at the end of the first chapter to make the book self-sufficient.

Alternating Projection Methods
René Escalante and Marcos Raydan
The book can be used as a textbook for advanced undergraduate or first year graduate students. However, since the book is comprehensive, it can also be used as a tutorial or a reference by those researchers who need to solve alternating projection problems in their work.

Linear Programming with MATLAB
Michael C. Ferris, Olvi L. Mangasarian, and Stephen J. Wright
Recommended for junior- and senior-level undergraduate students, first-year graduate students, and researchers unfamiliar with linear programming.
--Sample Chapter

Methods of Mathematical Economics: Linear and Nonlinear Programming, Fixed-Point Theorems
Joel N. Franklin
Recommended for graduate and undergraduate students of mathematics and finance.

Linear and Nonlinear Optimization, Second Edition
Igor Griva, Stephen G. Nash, and Ariela Sofer
Recommended for advanced undergraduate and graduate students.

Mathematical Optimization and Economic Theory
Michael D. Intriligator
Recommended for graduate and undergraduate students of mathematics and economics.

Implicit Filtering
C. T. Kelley
Recommended for students and researchers. Used in applications in electrical, civil, and mechanical engineering.

Iterative Methods for Linear and Nonlinear Equations
C. T. Kelley
A PDF file of this book is available for download. Copyright ©1995 by the Society for industrial and Applied Mathematics. This electronic version is for personal use and may not be duplicated or distributed.

Iterative Methods for Optimization
C. T. Kelley
A PDF file of this book is available for download. Copyright ©1999 by the Society for Industrial and Applied Mathematics. This electronic version is for personal use and may not be duplicated or distributed.

The Basics of Practical Optimization
Adam B. Levy

Recommended for undergraduate students.

Primer on Optimal Control Theory
Jason L. Speyer and David H. Jacobson

Recommended for undergraduate and first year graduate students.

top

Ordinary and Partial Differential Equations

Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations
Uri M. Ascher and Linda R. Petzold
A first course in the numerical solution of differential equations at either a senior undergraduate or beginning graduate level.

Linear Ordinary Differential Equations
Earl A. Coddington and Robert Carlson
Recommended for graduate and advanced undergraduate students in mathematics, engineering, and science.

A Unified Approach to Boundary Value Problems
Athanassios S. Fokas
Recommended for advanced undergraduate and first year graduate students.

Partial Differential Equations: Analytical and Numerical Methods, Second Edition
Mark S. Gockenbach
Recommended for graduate students in applied mathematics and for undergradate and graduate students in engineering and physics.

Understanding and Implementing the Finite Element Method
Mark S. Gockenbach
Recommended for advanced undergraduates and beginning graduate students in mathematics, engineering, and the physical sciences.
-- Sample Chapter

Ordinary Differential Equations: Second Edition
Philip Hartman
Recommended for advanced undergraduate and graduate students in mathematics, physics, and engineering.

Physics and Partial Differential Equations
Tatsien Li and Tiehu Qin, Translated by Yachun Li
Recommended for upper-level undergraduate and graduate courses.

Partial Differential Equations: Modeling, Analysis, Computation
R. M. M. Matthiej, S. W. Rienstra, and J. M. M. ten Thije Boonkamp
Recommended for advanced undergraduate and graduate students.
-- Sample Chapter

Perturbations: Theory and Methods
James A. Murdock
This text can be used before or after a traditional graduate course in ordinary differential equations.

top

Physical Applied Mathematics and Mathematical Modeling

Lectures on Mathematical Combustion
John D. Buckmaster and Geoffrey S. S. Ludford

Dynamics of Internal Layers and Diffusive Interfaces
Paul C. Fife

The Cauchy Problem in Kinetic Theory
Robert T. Glassey
Suitable for advanced graduate students.

Continuum Modeling in the Physical Sciences
E. van Groesen and Jaap Molenaar
Recommended for graduate students and advanced undergraduate students.
-- Sample Chapter

Mathematical Models: Mechanical Vibrations, Population Dynamics, and Traffic Flow
Richard Haberman

Mathematical Modeling: Classroom Notes in Applied Mathematics
Murray S. Klamkin, Editor

Mathematics Applied to Continuum Mechanics
Lee A. Segel with additional material on elasticity by G. H. Handelman
This is an ideal text for upper-level undergraduate and graduate students in the fields of applied mathematics, science, and engineering.

Mathematics Applied to Deterministic Problems in the Natural Sciences
C.C. Lin and L.A Segel

Boundary Value Problems of Mathematical Physics
Ivar Stakgold
Suitable for introductory level graduate courses.

top

Probability and Statistics

Anthology of Statistics in Sports
Jim Albert, Jay Bennett, and James L. Cochran, Editors
Recommended as supplementary material for statistics courses.

A First Course in Order Statistics
Barry C. Arnold, N. Balakrishnan, H. N. Nagaraja
Recommended for advanced undergraduate and graduate students in Statistics and Mathematics.

Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods
Jenny Baglivo
Recommended for undergraduate students. Techniques are accessible to students with little or no experience with Mathematica.
-- Sample Chapter
-- Sample Lab from CD

Engineering Reliability
Richard E. Barlow
Recommended for an upper undergraduate or beginning graduate course on engineering reliability. Instructor Manual available upon request.

Probability
Leo Breiman
Recommended for use as a graduate-level text in one- or two-semester courses in probability for students who are familiar with basic measure theory, or as a supplement in courses in stochastic processes or mathematical statistics.

Selection and Ordering Populations: A New Statistical Methodology
Jean Dickinson Gibbons, Ingram Olkin, and Milton Sobel
Suitable for students with a first-year knowledge of statistics.

Basic Concepts of Probablility and Statistics, Second Edition
J. L. Hodges, Jr. and E. L. Lehmann
Recommended for high school and undergraduate students

Introduction to Matrix Analytic Methods in Stochastic Modeling
G. Latouche and V. Ramaswami
Recommended for graduate students and advanced undergraduates.

The Analysis of Means: A Graphical Method for Comparing Means, Rates, and Proportions
Peter R. Nelson, Peter S. Wludyka, and Karen A. F. Copeland
Recommended for graduate students.
-- Sample Chapter

Applied Adaptive Statistical Methods: Tests of Significance and Confidence Intervals
Thomas W. O'Gorman
Recommended as a supplementary text in a course on regression analysis.

Stochastic Processes
Emanuel Parzen
Suitable for an introductory course on probability model building.

Statistical Case Studies: A Collaboration Between Academe and Industry
Roxy Peck, Larry D. Haugh, and Arnold Goodman
Recommended for a statistical consulting course and as a supplement to any statistics course.

Optimal Design of Experiments
Friedrich Pukelsheim
Indispensible for anyone involved in planning statistical experiments, including mathematical statisticians, applied statisticians, and mathematicians interested in matrix optimization problems.

Fuzzy Logic and Probability Applications: Bridging the Gap
Timothy J. Ross, Jane M. Booker, and W. Jerry Parkinson, Editors
-- Sample Chapter

top

Real and Complex Analysis

Functions of a Complex Variable: Theory and Technique
George F. Carrier, Max Krook, and Carl E. Pearson
Recommended for graduate students and advanced undergraduate students.

Numerical Methods for Special Functions
Amparo Gil, Javier Segura, Nico Temme
Recommended for general numerical analysis courses.
--Sample Chapter

top

Simulation and Modeling

Computational Mathematical Modeling: An Integrated Approach Across Scales
Daniela Calvetti and Erkki Somersalo
This book is intended for advanced undergraduate and beginning graduate students in mathematics, engineering, and physical and life sciences.

Modeling, Simulation, and Optimization of Supply Chains: A Continuous Approach
Ciro D'Apice, Simone Göttlich, Michael Herty, and Benedetto Piccoli
Recommended for advanced undergraduate and graduate students.

Uncertainty Quantification: Theory, Implementation, and Applications
Ralph Smith
Recommended for advanced undergraduates, graduate students, and researchers in mathematics, statistics, operations research, computer science, biology, science, and engineering.

top

Waves

Solitons and the Inverse Scattering Transform
Mark J. Ablowitz and Harvey Segur

Solitons in Mathematics and Physics
Alan C. Newell

Nonlinear Waves in Integrable and Nonintegrable Systems
Jianke Yang
Recommended for advanced graduate students.

top

Renew SIAM · Contact Us · Site Map · Join SIAM · My Account
Facebook Twitter Youtube