Optimization
Publisher: Springer
Published: June 17, 2004
Language: eng
Number of pages: 252
ISBN-13: 9780387203324
First sentence: Optimization theory is one of the oldest branches of mathematics, serving as a catalyst for the development of geometry and differential calculus [117].
Description: "This introduction to optimization attempts to strike a balance between presentation of mathematical theory and development of numerical algorithms. Building on students' skills in calculus and linear algebra, the text provides a rigorous exposition without undue abstraction. Its stress on convexity serves as bridge between linear and nonlinear programming and makes it possible to give a modern exposition of linear programming based on the interior point method rather than the simplex method. The emphasis on statistical applications will be especially appealing to graduate students of statistics and biostatistics. The intended audience also includes graduate students in applied mathematics, computational biology, computer science, economics, and physics as well as upper division undergraduate majors in mathematics who want to see rigorous mathematics combined with real applications."--BOOK JACKET.
Notes: Springer Texts in Statistics