The author of this book has practical experience in mathematical modeling and competition guidance. The contents of the book are completely arranged according to the needs of mathematical modeling competition, covering the matlab solution methods of most mathematical modeling problems. This book is divided into two parts. The first part introduces the matlab implementation of conventional methods in mathematical modeling, including matlab interaction, data modeling, program drawing, grey prediction, planning model and other methods; Matlab implementation of various advanced methods is also introduced, including genetic algorithm, particle swarm optimization, simulated annealing algorithm, artificial neural network, wavelet analysis, dynamic simulation, numerical simulation and so on. The second part takes a real mathematical modeling contest as an example, introduces how to solve the practical mathematical modeling problems with matlab, and gives the detailed modeling process and program. The appendix of the book introduces the author's experience of winning many awards in the model contest. I believe these experiences will be helpful to readers who are going to participate in the mathematical modeling competition.

This book is especially suitable as a training textbook or reference book for mathematical modeling competitions, as well as a reference book for courses such as "Mathematical Experiment", "Mathematical Modeling" and "Data Mining" in universities, and as a reference book for researchers, scholars and engineers.