Experimental Data Processing With A Home Computer- Four Optimization Methods In One Java Program - Dehua Wang And Xiaolong Xu

An essential goal of experimental data process is to find parameters, such as reaction rate, decay rate, rotational rate or potential energy. Parameter optimization is the method to achieve such a goal. This book describes a program “Optimization” and its applications to experimental data process. It is written for scientists and engineers who work in the fields of chemistry, physics or engineering, but are not quite familiar with optimization methods. Parameter optimization is performed through function minimization. This book comprises the most famous methods of function minimization, including Nelder-Mead simplex, Multisimplex, Simulated Annealing and Particle Swarm Optimization. These methods are coded to one program in Java, so the same experimental data can be processed with any of the methods and results can be compared.
The program provides 18 examples. Section 6.8 demonstrates how to process user-specified function and experimental data. Through the demonstration, readers will be able to insert their own function and process their own experimental data. The program runs on home computers. For most examples, the run time is less than one second.
The book contains a software CD. Readers run the program through typing it from a hard copy of the book, or coping it from the Optimization file on the CD or dragging it from Optimization folder on the CD to a Java software JBuilder. See Readme instruction for detail. The calculated results can be copied to Microsoft Word. The Word is used for word process and the Excel is used for curve fitting. The book is a prominent textbook for graduated or senior undergraduate students. The book is also a suitable material for hands-on short training courses.

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