Description: Optimization Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Kenneth Lange Format: Hardback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781461458371, 978-1461458371 Synopsis Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. 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 statistical applications will be especially appealing to graduate students of statistics and biostatistics. The intended audience also includes students in applied mathematics, computational biology, computer science, economics, and physics who want to see rigorous mathematics combined with real applications. In this second edition the emphasis remains on finite-dimensional optimization. New material has been added on the MM algorithm, block descent and ascent, and the calculus of variations. Convex calculus is now treated in much greater depth. Advanced topics such as the Fenchel conjugate, subdifferentials, duality, feasibility, alternating projections, projected gradient methods, exact penalty methods, and Bregman iteration will equip students with the essentials for understanding modern data mining techniques in high dimensions.
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Book Title: Optimization
Number of Pages: 529 Pages
Language: English
Publication Name: Optimization
Publisher: Springer-Verlag New York Inc.
Publication Year: 2013
Subject: Mathematics, Management
Item Height: 235 mm
Item Weight: 9398 g
Type: Textbook
Author: Kenneth Lange
Subject Area: Data Analysis
Series: Springer Texts in Statistics
Item Width: 155 mm
Format: Hardcover