£139.70

Springer Introductory Lectures on Convex Optimization - 87

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Description

Explore the foundations of nonlinear optimization with this academic text from Springer. This volume, part of the Applied Optimization series (87), traces the significant shifts in the field following the seminal work of Kar markar in the mid-1980s. The text examines how the introduction of new polynomial-time algorithms for linear optimization problems changed the research landscape. Readers will learn about the historical development of these methods and the connection between theoretical efficiency and computational results. This book provides a basic course structure for those studying the evolution of nonlinear optimization and the impact of high-efficiency algorithms on modern research directions. It serves as a foundational resource for students and professionals interested in the history and application of optimization techniques within the computing and software engineering domains.

Key Features

Part of the Applied Optimization series, specifically volume 87, providing a structured academic approach.

Covers the historical impact of Kar markar's seminal paper on the field of nonlinear optimization.

Discusses the relationship between theoretical complexity bounds and practical computational results.

Provides a basic course framework for understanding polynomial-time algorithms in linear optimization.

Explores how new algorithmic developments changed the direction of research in the optimization field.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
31 December 2003
Listed Since
12 February 2007

Barcode

No barcode data available

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