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.