Mathematical modelling

This book explores soft computing techniques in a systematic manner starting from their initial stage to recent developments in this area.

This book explores soft computing techniques in a systematic manner starting from their initial stage to recent developments in this area.

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.

The application of a novel correlation coefficient of linguistic intuitionistic fuzzy sets to medical diagnosis problems provides the topic for Strategic Fuzzy Extensions and Decision-making Techniques.

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