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
Gender-Structured Population Modeling: Mathematical Methods, Numerics, and Simulations gives a unified presentation of and mathematical framework for modeling population growth by couple formation. It
This is a thorough introduction to fundamental ideas in modern statistics for readers without a calculus background. The only book at this level to discuss modern concepts of hypothesis testing and es
“The sparse backslash book.” “Everything you wanted to know but never dared to ask about modern direct linear solvers.” — Chen Greif, Assistant Professor, Department of Computer Science, University of
"Most everything ever published on the topic is described…A tour de force on immersed interface methods." — Loyce Adams, Department of Applied Mathematics, University of Washington.Interface problems
Today's modern network traffic, which is distinctly different from traditional voice traffic, generates challenging mathematical and statistical problems. Stochastic Modeling in Broadband Communicatio
The Lanczos and conjugate gradient (CG) algorithms are fascinating numerical algorithms. This book presents the most comprehensive discussion to date of the use of these methods for computing eigenval
Written by well-respected authors, the Cambridge Checkpoint Mathematics suite provides a comprehensive structured resource which covers the full Cambridge Secondary 1 Mathematics framework in three st
