The 21 self-contained chapters in this book, include recent developments in several optimization-related topics such as decision theory, linear programming, turnpike theory, duality theory, convex an
Introduces static and dynamic pattern calculus. This book shows how Lisp is more than just lambda-calculus. It is suitable for researchers with an interest in the foundations of computing, programming
The Constraint Handling Rules (CHR) language is a declarative concurrent committed-choice constraint logic programming language consisting of guarded rules that transform multisets of relations called
In conventional mathematical programming, coefficients of problems are usually determined by the experts as crisp values in terms of classical mathematical reasoning. But in reality, in an imprecise a
Breast-Feeding: Early Influences on Later Health is a new book which draws together areas of research in early lifel programming of adult health, with a unique focus on the post-natal period in terms
This work examines all the fuzzy multicriteria methods recently developed, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic
Ada 2005 is the latest version of the International Standard for the programming language Ada. Formally, it is an Amendment of ISO/IEC 8652:1995 (E) rather than a completely new standard. The primary
This research monograph develops the Hamilton-Jacobi-Bellman theory via dynamic programming principle for a class of optimal control problems for stochastic hereditary differential equations (SHDEs)
This book is for readers with backgrounds in science engineering who have experience in computer programming but who lack training in software engineering. It teaches object-oriented design patterns i
The Ada 2005 Reference Manual combines the International Standard ISO/IEC 8652/1995(E) for the programming language Ada with the corrections of the Technical Corrigendum 1 approved by ISO in February
This book is an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. It covers dynamic programming for deterministic optimal control p
This book is an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. It covers dynamic programming for deterministic optimal control p
Column Generation is an insightful overview of the state of the art in integer programming column generation and its many applications. The volume begins with "A Primer in Column Generation" which out
Intended for experienced Java developers, this guide introduces the Spring lightweight framework for building Java applications, and offers advice on aspect-oriented programming, accessing data, manag
Evolutionary computation, a broad field that includes genetic algorithms, evolution strategies, and evolutionary programming, has proven to offer well-suited techniques for industrial and management t
It is over 20 years since the functional data model and functional programming languages were first introduced to the computing community. Although developed by separate research communities, recent w
Discrete mathematics is quickly becoming one of the most important areas of mathematical research, with applications to cryptography, linear programming, coding theory and the theory of computing. Th
A textbook for a graduate course in computer simulation for students with a basic background in differential equations, numerical analysis, and FORTRAN programming. It explains how to model environmen
The book aims at surveying results in the application of fuzzy sets and fuzzy logic to economics and engineering. New results include fuzzy non-linear regression, fully fuzzified linear programming, f
Questions that arose from linear programming and combinatorial optimization have been a driving force for modern polytope theory, such as the diameter questions motivated by the desire to understand t
The focus of this book is on bilevel programming which combines elements of hierarchical optimization and game theory. The basic model addresses the problem where two decision-makers, each with thei
This textbook provides a fast-track pathway to numerical implementation of phase-field modeling—a relatively new paradigm that has become the method of choice for modeling and simulation of microstruc
This book opens the door to multiobjective optimization for students in fields such as engineering, management, economics and applied mathematics. It offers a comprehensive introduction to multiobject
This book introduces the reader to the field of multiobjective optimization through problems with simple structures, namely those in which the objective function and constraints are linear. Fundamenta
This new edition covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. One major insight is the connection between t
The development of the brain and nervous system is shaped not just by a genetic program, but also by the effects of multiple environmental stimuli. There are currently no book-length treatments of per
?With emphasis on computation, this book is a real breakthrough in the field of LP. In addition to conventional topics, such as the simplex method, duality, and interior-point methods, all deduced in
In many application areas, it is necessary to make effective decisions under constraints. Several area-specific techniques are known for such decision problems; however, because these techniques are a
Semidefinite programs constitute one of the largest classes of optimization problems that can be solved with reasonable efficiency - both in theory and practice. They play a key role in a variety of r
Answering the need for an accessible overview of the field, this text/reference presents a manageable introduction to both the theoretical and practical aspects of computer networks and network progra
While there are several texts on how to solve and analyze stochastic programs, this is the first text to address basic questions about how to model uncertainty, and how to reformulate a deterministic
Semidefinite programs constitute one of the largest classes of optimization problems that can be solved with reasonable efficiency - both in theory and practice. They play a key role in a variety of r
Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a prono
This book on constrained optimization is novel in that it fuses these themes: ‧ use examples to introduce general ideas; ‧ engage the student in spreadsheet computation;‧ survey the uses of constrain
This book presents a synthesis of recent works concerning reactive system design. The term `reactive system' has been introduced in order to avoid ambiguities often involved with the term `real-time
"The finite element method (FEM) is a computational technique for solving problems which are described by partial differential equations or which can be formulated as functional minimization. The FEM
This textbook for students and practitioners presents a practical approach to decomposition techniques in optimization. It provides an appropriate blend of theoretical background and practical applica
Including easily digested information about fundamental techniques and concepts in software construction, this book is distinct in unifying pure theory with pragmatic details. Driven by generic proble
S is a high-level language for manipulating, analysing and displayingdata. It forms the basis of two highly acclaimed and widely used dataanalysis software systems, the commercial S-PLUSR and the Open
Having given away the answer in the subtitle, Langdon (U. of Birmingham, England) explains the nuts and bolts of the automatic creation of program code that actually includes stored data, which previo
