Language: en

Pages: 276

Pages: 276

Almost every year, a new book on mathematical modeling is published, so, why another? The answer springs directly from the fact that it is very rare to find a book that covers modeling with all types of differential equations in one volume. Until now. Mathematical Modeling: Models, Analysis and Applications

Language: en

Pages: 419

Pages: 419

Mathematical Modeling: Models, Analysis and Applications, Second Edition introduces models of both discrete and continuous systems. This book is aimed at newcomers who desires to learn mathematical modeling, especially students taking a first course in the subject. Beginning with the step-by-step guidance of model formulation, this book equips the reader

Language: en

Pages: 222

Pages: 222

This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies the editors

Language: en

Pages: 466

Pages: 466

Mathematical Modelling sets out the general principles of mathematical modelling as a means comprehending the world. Within the book, the problems of physics, engineering, chemistry, biology, medicine, economics, ecology, sociology, psychology, political science, etc. are all considered through this uniform lens. The author describes different classes of models, including lumped

Language: en

Pages: 230

Pages: 230

The process of developing a mathematical model is known as mathematical modeling. It is characterization of system that uses mathematical concepts and languages. Mathematical models are used in natural science such as physics, chemistry, earth science and biology. They are also used in social sciences such as political science, sociology,