Maths for engineers

Theoretical research and practical applications in the ?

The main intended audience for this book is undergraduate students in pure and applied sciences, especially those in engineering.

Many algorithms have already been proposed in the past to solve the problem of allocating resources in a multi-user multicarrier wireless system.

Feasibility and Infeasibility in Optimization is an expository book focused on practical algorithms related to feasibility and infeasibility in optimization.

The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field.

Computational probability is a set of stochastic methods that has emerged over the past decade that allow researchers and students to solve problems that require exact probability calculations previously considered arduous or intractable.

"e;Linear and Nonlinear Programming"e; is considered a classic textbook in Optimization.

Applied Delay Differential Equations is a friendly introduction to the fast-growing field of time-delay differential equations.

Production Systems Engineering (PSE) is an emerging branch of Engineering intended to uncover fundamental principles of production systems and utilize them for analysis, continuous improvement, and design.

Mathematics is playing an ever more important role in the physical and biological sciences, provoking a blurring of boundaries between scienti?

A recent significant innovation in mathematical sciences has been the progressive use of nonsmooth calculus, an extension of the differential calculus, as a key tool of modern analysis in many areas of mathematics, operations research, and engineering.

One of the primary purposes of any model is to build intuition and generate insights.

Complex Analysis with Applications in Science and Engineering weaves together theory and extensive applications in mathematics, physics and engineering.

Of what use is mathematics?

The aim of Metaheuristics: Progress in Complex Systems Optimization is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas.

Thesubjectofthisbookisthenested partitions method(NP),arelativelynew optimization method that has been found to be very e?

The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and numerous successful applications of the AIC have been reported in various fields of natural sciences, social sciences and engineering.

Simulation is a widely used methodology in all the Applied Science disciplines.

PROCESS OPTIMIZATION: A Statistical Approach is a textbook for a course in experimental optimization techniques for industrial production processes and other "e;noisy"e; systems where the main emphasis is process optimization.

Ordinary di?

A number of methodologies have been employed to provide decision making solutions to a whole assortment of financial problems in today's globalized markets.

Intense global competition in manufacturing has compelled manufacturers to incorporate repetitive processing and automation for improving productivity.

Dynamic Optimization and Differential Games has been written to address the increasing number of Operations Research and Management Science problems that involve the explicit consideration of time and of gaming among multiple agents.

In today's global economy, supply chains are an essential ingredient to corporate survival and growth.

Since their emergence in the early 1950s, ?

Operational methods have been used for over a century to solve problems such as ordinary and partial differential equations.

This book presents a unified theory of the Finite Element Method and the Boundary Element Method for a numerical solution of second order elliptic boundary value problems.

Performance evaluation of increasingly complex human-made systems requires the use of simulation models.

The field of Digital Signal Processing has developed so fast in the last three decades that it can be found in the graduate and undergraduate programs of most universities.

Mechanical engineering, an engineering discipline born of the needs of the industrial revolution, is once again asked to do its substantial share in the call for industrial renewal.

Modern computer algebra systems are revolutionizing the teaching and learning of mathematically intensive subjects in science and engineering, enabling students to explore increasingly complex and computationally intensive models that provide analytic solutions, animated numerical solutions, and complex two- and three-dimensional graphic displays.

Applied Stochastic Processes uses a distinctly applied framework to present the most important topics in the field of stochastic processes.

Computer Science and Operations Research continue to have a synergistic relationship and this book represents the results of cross-fertilization between OR/MS and CS/AI.

The prerequisite for reading this text is a calculus based course in Probability and Mathematical Statistics, along with the usual curricularmathematical requi- ments for every science major.

A Computer Scientist's Guide to Cell Biology provides a "e;reading knowledge"e; of biology to those coming into the field from the perspective of computer science-particularly from the areas of information retrieval and/or machine learning.

This book is intended for use by students, academicians and practicing engineers who in the course of their daily study or research have need for the probability distributions and associated statistics of random variables that are themselves Gaussian or in various forms derived from them.

Augmented Materials and Smart Objects investigates the issues required to ensure technology platforms capable of being seamlessly integrated into everyday objects, particularly the requirements for integrated computation and MEMs sensors, System-in-a-package solutions, multi-chip modules, the impact of the trend towards embedded microelectronic electronics sub-systems, novel assembly techniques for autonomous MEMs sensors, as well as practical performance issues that are key to the AmI concept.

The design and development of electrical devices involves choosing from many possible variants that which is the best or optimum according to one or several criteria.

Partial differential equations (PDEs) and variational methods were introduced into image processing about fifteen years ago.

Saul Gass has been a leading contributor to the field of Operations Research for more than 50 years.

In the past ten years, leaders in engineering industries have identified specific knowledge, skills, and attitudes required of their workforce if they want to be innovative and competitive in a global marketplace.

Integrated Methods for Optimization integrates the key concepts of Mathematical Programming and Constraint Programming into a unified framework that allows them to be generalized and combined.

Principles of Mathematics in Operations Research is a comprehensive survey of the mathematical concepts and principles of industrial mathematics.

Proceedings volume contains carefully selected papers presented during the 17th IFIP Conference on System Modelling and Optimization.

Nonlinear Dynamics in Geosciences is comprised of the proceedings of "e;20 Years of Nonlinear Dynamics in Geosciences"e;, held June 11-16, 2006 in Rhodes, Greece as part of the Aegean Conferences.

System Modeling and Optimization XX deals with new developments in the areas of optimization, optimal control and system modeling.

Foundations and Applications of MIS presents a unique systems theory approach to management information system (MIS) development.