Jan Brinkhuis, Vkadimir Tikhomirov – Optimization. Insights and Applications

Description

This self-contained textbook is a casual introduction to optimization via using quite a few illustrations and functions. The focus is on analytically fixing optimization issues with a finite variety of steady variables. In addition, the authors present introductions to classical and fashionable numerical strategies of optimization and to dynamic optimization.

 

The e book’s overarching level is that almost all issues could also be solved by the direct utility of the theorems of Fermat, Lagrange, and Weierstrass. The authors present how the instinct for every of the theoretical outcomes might be supported by easy geometric figures. They embrace quite a few functions via using various classical and sensible issues. Even specialists might discover a few of these functions actually stunning.

 

A primary mathematical information is ample to grasp the matters lined on this e book. More superior readers, even specialists, will likely be stunned to see how all major outcomes might be grounded on the Fermat-Lagrange theorem. The e book can be utilized for programs on steady optimization, from introductory to superior, for any subject for which optimization is related.

Review

“The authors provide a very nice and interesting textbook on the theory and the application of mathematical optimization. . . . The book is written as well as for beginners and for experts. . . . Both types of readers can profit from the given shortcuts and royal roads which jump over some theoretical explanations and lead directly to the applications.”–Jörg Thierfelder, Zentralblatt MATH

From the Back Cover

 

“Well written and well organized. The book’s examples are highly varied, interesting and well thought out.”–Steinar Hauan, Carnegie Mellon University

 

“An extremely interesting introduction to the field of mathematical optimization. I know of no other book in the field that offers so many illustrations of the applicability of deep theoretical issues in optimization. It will command a broad audience, from beginners to experts.”–Kees Roos, Delft University of Technology