O'Leary (computer science, U. of Maryland) provides a combination of both case studies and instructional material in her book on scientific computing. It is intended as a textbook for students in thei
Inverse problems are considerably more important, in mathematics and throughout science, than they might first appear. This book concentrates on inverse problems and how they can be usefully introduce
Supported by narrative, examples, and exercises, Ants, Bikes, and Clocks: Problem Solving for Undergraduates is a readable and enjoyable text designed to strengthen the problem-solving skills of under
The 160 or so invited and contributed papers report the research to date on the microstructure, processing, and properties of the compounds and their use in structural applications. Several of those o
In this entry-level book on algorithmic (also known as automatic) differentiation (AD) the author covers the mathematical underpinnings as well as applications to real-world numerical simulation progr
This book uses fundamental ideas in dynamical systems to answer questions of a biologic nature, in particular, questions about the behavior of populations given a relatively few hypotheses about the n
Rediscovering Mathematics is an eclectic collection of mathematical topics and puzzles aimed at talented youngsters and inquisitive adults who want to expand their view of mathematics. By focusing on
Discontinuous Galerkin (DG) methods for solving partial differential equations, developed in the late 1990s, have become popular among computational scientists. This book covers both theory and comput
With examples from electrical and mechanical engineering, biology and complex network analysis, researcher Michiels (computer science, Katholieke U., Leuven) and practitioner Niculescu explain how to
Republished as part of the Society for Industrial and Applied Mathematic's Classics in Applied Mathematics series, this 1987 work by Bhatia (Indian Statistical Institute, India) presents an exposition
Hubert (University of Illinois), Arabie (Rutgers), and Meulman (Leiden University) demonstrate how to find and fit structures of proximity matrices computationally with sixty-five functions for Matlab
Optimal Design of Experiments offers a rare blend of linear algebra, convex analysis, and statistics. The optimal design for statistical experiments is first formulated as a concave matrix optimizatio
As a complementary countercurrent to the recent trend of giving a numerical analyst's account of various computational problems and algorithms in control, Bhaya and Kaszkurewica (both electrical engin
This self-contained book is excellent for graduate-level courses devoted to variational analysis, optimization, and partial differential equations (PDEs). It provides readers with a complete guide to
This book describes several applications that exploit the unique actuator and sensor capabilities of smart material compounds. In addition to present and projected applications, this book provides com
The first part of this book covers basic VRP, known more commonly as capacitated VRP. Part two covers three main variants of VRP: with time windows, backhauls, and pickup and delivery. The last part c
This book provides a comprehensive and in-depth treatment of one of the most important control problems: the nonlinear output regulation problem. It contains up-to-date research results and algorithms
This book is intended to support and promote interdisciplinary research in optical fiber communications by providing essential background in both the physical and mathematical principles of the discip
Treats sizing and shape optimization in a comprehensive way, covering everything from mathematical theory (existence analysis, discretizations, and convergence analysis for discretized problems) throu
This is the first book that discusses neural networks in the context of nonparametric regression and classification, within the Bayesian paradigm. It considers neural networks in a statistical context
