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Springer Introductory Lectures on Convex Optimization - Book

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Description

Explore the foundations of nonlinear optimization with Introductory Lectures on Convex Optimization: A Basic Course. This volume from the Applied Optimization series (87) provides essential insights into the field. It traces the significant shift in research directions that began in the mid-1980s following the seminal work by Kar markar. This text examines how the introduction of a new polynomial-time algorithm for linear optimization problems changed the landscape of the discipline. The book highlights the connection between theoretical complexity bounds and the excellent computational results that supported high efficiency predictions. It is a foundational resource for students and researchers interested in the evolution and mathematical principles of optimization methods.

Key Features

Part of the Applied Optimization series, volume 87, published by Springer.

Covers the historical impact of the seminal paper by Kar markar on nonlinear optimization.

Discusses the development of polynomial-time algorithms for linear optimization problems.

Examines the relationship between theoretical complexity bounds and computational efficiency.

Provides a basic course on the principles of convex optimization for researchers and students.

Product Specifications

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

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No barcode data available

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