Numerical Methods For Nonlinear Engineering Models

Authors: Boguslavskiy, Josif A.
Editors: Borodovsky, Mark (Ed.)
Lays down a new method of solving inverse problems equations with weaker requirements than existing methods
Reinforces basic principles and demonstrates methodical efficiency using non-trivial applied examples
Relevant to many applications from bioinformatics through aerodynamics to financial mathematics

During the last fifty years, the development of better numerical methods and more powerful computers has been a major enterprise for the scien- tific community. Today, problems of extreme complexity can be solved. However, for real life applications, the availability of reliable scientific soft- ware seems to be emerging as a limiting factor.

During the last fifty years, the development of better numerical methods and more powerful computers has been a major enterprise for the scien- tific community. Today, problems of extreme complexity can be solved. However, for real life applications, the availability of reliable scientific soft- ware seems to be emerging as a limiting factor.

Linear and nonlinear systems of equations are the basis for many, if not most, of the models of phenomena in science and engineering, and their efficient numerical solution is critical to progress in these areas. This is the first book to be published on nonlinear equations since the mid-1980s.