Introduction
Author of the book have practical experience of mathematical modeling competition and competition guidance experience. The book is entirely based on content needs Mathematical Contest in Modeling and orchestration, covering most of the mathematical modeling matlab solving methods. The book is divided into two parts. Part I describes the mathematical modeling in matlab conventional methods of implementation, including methods matlab interactive, data modeling, drawing program, a gray forecasting, planning models; also introduced a variety of advanced methods to achieve matlab, including genetic algorithms, particle swarm optimization , simulated annealing algorithm, artificial neural network, wavelet analysis, dynamic simulation, numerical simulation. Next to the real Mathematical Modeling Contest entitled case, describes how to solve practical problems of mathematical modeling with matlab, it gives a detailed modeling of processes and procedures. Accessories section of the book describes the experience in the modeling contest award-winning author. I believe these experiences prepared to participate in Mathematical Contest in Modeling readers will help.
This book is particularly suitable as Mathematical Contest in Modeling training materials or reference books, but also as a university "experimental mathematics" and "Mathematical Modeling" and "data mining" course reference book, but also as the majority of researchers, academics, engineering technical personnel reference book.
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