New & Bestselling Textbooks 2021-22 HIGHLIGHTS AN INTRODUCTION TO THE NUMERICAL SIMULATION OF STOCHASTIC DIFFERENTIAL EQUATIONS Desmond J. Higham & Peter E. Kloeden
May 2021 289pp 9781611976427 Hardback US$79.00
Provides a lively and accessible introduction to the numerical solution of stochastic differential equations with the aim of making this subject available to the widest possible readership. The book presents an outline of the underlying convergence and stability theory while avoiding technical details.
MATRIX ANALYSIS AND COMPUTATIONS Zhong-Zhi Bai & Jian-Yu Pan
Oct 2021 484pp 9781611976625 Paperback US$99.00
Introduces the basics of matrix analysis and presents representative methods and their corresponding theories in matrix computations.
NUMERICAL LINEAR ALGEBRA WITH JULIA Eric Darv & Mary Wootters
Oct 2021 277pp 9781611976540 Paperback US$89.00
Provides in-depth coverage of fundamental topics in numerical linear algebra, including how to solve dense and sparse linear systems, compute QR factorizations, compute the eigendecomposition of a matrix, and solve linear systems using iterative methods such as conjugate gradient.
APPLIED NUMERICAL LINEAR ALGEBRA William W. Hager
Nov 2021 424pp 9781611976854 Paperback US$89.00
Classics in Applied Mathematics, Vol. 87
Introduces students to numerical issues that arise in linear algebra and its applications. A wide range of techniques are touched on, including direct to iterative methods, orthogonal factorizations, least squares, eigenproblems, and nonlinear equations.
COMPUTED TOMOGRAPHY
Algorithms, Insight, and Just Enough Theory Edited by Per Christian Hansen, Jakob Sauer Jørgensen & William R. B. Lionheart Oct 2021 337pp
MATHEMATICS AND TOOLS FOR FINANCIAL ENGINEERING Petros A. Ioannou
Oct 2021 268pp 9781611976755 Paperback US$79.00
Based on a master's program course at the University of Southern California, the main goal of Mathematics and Tools for Financial Engineering is to train students to use mathematical and engineering tools to understand and solve financial problems. The book contains numerous examples and problems.
METHODS IN COMPUTATIONAL SCIENCE Johan Hoffman
Oct 2021 395pp 9781611976717 Paperback US$89.00
Computational Science and Engineering, Vol. 24
9781611976663 Paperback US$89.00
Fundamentals of Algorithms, Vol. 18
Discusses the fundamental computational methods used for image reconstruction in computed tomography (CT). Unique in its emphasis on the interplay of modeling, computing, and algorithm development, the book presents underlying mathematical models for motivating and deriving the basic principles of CT reconstruction methods.
LOCALLY CONVEX SPACES AND HARMONIC ANALYSIS An Introduction Philippe G. Ciarlet Oct 2021 195pp 9781611976649 Paperback US$69.00
This self-contained textbook covers the fundamentals of two basic topics of linear functional analysis: locally convex spaces and harmonic analysis. Readers will find detailed introductions to topological vector spaces, distribution theory, weak topologies, Fourier transform, Hilbert transform, and CalderonZygmund singular integrals.
Computational methods are an integral part of most scientific disciplines. This textbook introduces computational science through a set of methods and algorithms with the aim of familiarizing the reader with the field's theoretical foundations and providing the practical skills to use and develop computational methods.
Bestselling title by this author:
LINEAR AND NONLINEAR FUNCTIONAL ANALYSIS WITH APPLICATIONS Philippe G. Ciarlet
2013 846pp 9781611972580 Hardback US$108.00
Covers the fundamentals of linear and nonlinear functional analysis, illustrating most of the basic theorems with numerous applications to linear and nonlinear partial differential equations and to selected topics from numerical analysis and optimization theory.
NUMERICAL CONTINUATION AND BIFURCATION IN NONLINEAR PDEs
SPARSE SOLUTIONS OF UNDERDETERMINED LINEAR SYSTEMS
Oct 2021 364pp 9781611976601 Paperback US$89.00
Jul 2021 437pp 9781611976502 Paperback US$89.00
Presents a hands-on approach to numerical continuation and bifurcation for nonlinear PDEs in 1D, 2D and 3D; provides a concise review of analytical background and numerical methods; explains the use of the free MATLAB package pde2path via examples with ready to use code; and contains demo codes that can be adapted to the reader's given problem.
Presents a special solution of underdetermined linear systems where the number of nonzero entries in the solution is very small compared to the total number of entries. This is called sparse solution. As underdetermined linear systems can be very different, the authors explain how to compute a sparse solution by many approaches.
Hannes Uecker
If you are a teaching academic or course leader you may request up to three titles as FREE inspection copies to consider as textbooks for students on your course. For further details please visit: eurospan.co.uk/inspection
Ming-Jun Lai & Yang Wang
BESTSELLERS
Revised Edition James D. Meiss
2017 420pp 9781611974638 Paperback US$90.00
Mathematical Modeling and Computation, Vol. 22
Combines much of the material found in a traditional course on ordinary differential equations with an introduction to the more modern theory of dynamical systems.
INTERPOLATORY METHODS FOR MODEL REDUCTION Athanasios C. Antoulas
Interpolatory methods are among the most widely used model reduction techniques. This book is the first comprehensive analysis of this approach available in a single, extensive resource. It covers both classical projection frameworks for model reduction and data-driven, nonintrusive frameworks.
MATLAB GUIDE
UNCERTAINTY QUANTIFICATION
Desmond J. Higham & Nicholas J. Higham
Theory, Implementation, and Applications
2016 502pp 9781611974652 Hardback US$66.00
2016 250pp 9781611974492 Paperback US$74.00
The first book to address the DMD algorithm presenting a pedagogical and comprehensive approach to all aspects of DMD currently developed or under development. It blends theoretical development, example codes, and applications to showcase the theory and its many innovations and uses.
The book remains a lively, concise introduction to the most popular and important features of MATLAB and the Symbolic Math Toolbox.
HANDBOOK OF WRITING FOR THE MATHEMATICAL SCIENCES
Carl D. Meyer
Provides advice on all aspects of scientific writing, with a particular focus on writing mathematics.
A concise, insightful, and elegant introduction to the field of numerical linear algebra. Designed for use as a stand-alone textbook by students from all fields of mathematics, engineering, and the physical sciences.
Third Edition
J. Nathan Kutz et al
2020 353pp 9781611976090 Paperback US$69.00
1997 373pp 9780898713619 Paperback US$74.50
Computational Science and Engineering, Vol. 21
Data-Driven Modeling of Complex Systems
Nicholas J. Higham
Lloyd N. Trefethen & David Bau III
2020 232pp 9781611976076 Paperback US$79.00
DYNAMIC MODE DECOMPOSITION
Third Edition
NUMERICAL LINEAR ALGEBRA
MATRIX ANALYSIS AND APPLIED LINEAR ALGEBRA 2000 730pp 9780898714548 Hardback US$61.50
An honest maths text that circumvents the traditional definition-theorem-proof format. It contains more than 240 examples, 650 exercises, historical notes, and comments on numerical performance and some of the possible pitfalls of algorithms. It comes with a solutions manual that includes complete solutions to all of the exercises.
Ralph C. Smith 2013 400pp 9781611973211 Hardback US$81.50
Computational Science & Engineering, Vol. 12
Provides readers with the basic concepts, theory, and algorithms necessary to quantify input and response uncertainties for simulation models arising in a broad range of disciplines. This text is intended for advanced undergraduates, graduate students, and researchers in mathematics, statistics, operations research, computer science, biology, science, and engineering.
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DIFFERENTIAL DYNAMICAL SYSTEMS