Average Reviews:
(More customer reviews)This book has the very very brief introductions to various topics and it almost feels like reading a bibliography on the topic of numerical data fitting ... could not find anything worthwhile in it .... I found more useful and comprehensive information on this topic through google search on the internet ... I regret spending all that money on this book.
Click Here to see more reviews about: Numerical Data Fitting in Dynamical Systems: A Practical Introduction with Applications and Software (Applied Optimization)
The main objective of the book is to give an overview of numerical methods to compute parameters of a dynamical model by a least squares fit of experimental data. The mathematical equations under consideration are explicit model functions or steady state systems in the simplest case, or responses of dynamical systems defined by ordinary differential equations, differential algebraic equations, partial differential equations, and partial differential algebraic equations (1D). Many different mathematical disciplines must be combined to find a solution, for example nonlinear programming, least squares optimization, systems of nonlinear equations, ordinary differential equations, discretization of partial differential equations, sensitivity analysis, automatic differentiation, and statistics.
0 comments:
Post a Comment