Mathematical modelling

* Considers neoclassical models in light of results that can go wrong with them to bring about better models.

A balanced introduction to the theoretical foundations and real-world applications of mathematical finance The ever-growing use of derivative products makes it essential for financial industry practitioners to have a solid understanding of derivative pricing.

This book is the first book on this technique; it describes the theory of DPSM in detail and covers its applications in ultrasonic, magnetic, electrostatic and electromagnetic problems in engineering.

An applied and concise treatment of statistical regression techniques for business students and professionals who have little or no background in calculus Regression analysis is an invaluable statistical methodology in business settings and is vital to model the relationship between a response variable and one or more predictor variables, as well as the prediction of a response value given values of the predictors.

Mathematical Models of Spoken Language presents the motivations for, intuitions behind, and basic mathematical models of natural spoken language communication.

Modelling and Control in Biomedical Systems (including Biological Systems) was held in Reims, France, 20-22 August 2006.

The new edition of Mathematical Modeling, the survey text of choice for mathematical modeling courses, adds ample instructor support and online delivery for solutions manuals and software ancillaries.

Geometric Algebra for Computer Science (Revised Edition) presents a compelling alternative to the limitations of linear algebra.

Computer Science and Applied Mathematics: Mathematical Methods for Wave Phenomena focuses on the methods of applied mathematics, including equations, wave fronts, boundary value problems, and scattering problems.

Edited by Daniel Rothbart of George Mason University in Virginia, this book is a collection of Rom Harre's work on modeling in science (particularly physics and psychology).

This book provides a clear picture of the use of applied mathematics as a tool for improving the accuracy of agricultural research.

The objective of this publication is to comprehensively discuss the possibilities of producing steels with pre-determined attributes, demanded by the customer to fit exacting specifications.

Mathematical modeling is the art and craft of building a system of equations that is both sufficiently complex to do justice to physical reality and sufficiently simple to give real insight into the situation.

Process Modelling and Model Analysis describes the use of models in process engineering.

'To interlace or not to interlace' is a hot issue currently.

The second edition of Mesoscale Meteorological Modeling is a fully revised resource for researchers and practitioners in the growing field of meteorological modeling at the mesoscale.

Modelling and Control in Biomedical Systems (including Biological Systems) was held in Reims, France, 20-22 August 2006.

Science and engineering students depend heavily on concepts of mathematical modeling.

This book introduces the method of lower and upper solutions for ordinary differential equations.