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Differentiable Optimization and Equation Solving: A Treatise on Algorithmic Science and the Karmarkar Revolution (CMS Books in Mathematics)

Differentiable Optimization and Equation Solving: A Treatise on Algorithmic Science and the Karmarkar Revolution (CMS Books in Mathematics)

Differentiable Optimization and Equation Solving: A Treatise on Algorithmic
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Differentiable Optimization and Equation Solving: A Treatise on Algorithmic Science and the Karmarkar Revolution (CMS Books in Mathematics) Hardback - 2003

by Nazareth, John Lawrence

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New York, NY: Springer, 2003. Book. Very Good+. Hardcover. American First. Complete number line from 1 to 9; minor wear; otherwise a solid, clean copy with no marking or underlining; collectible condition..
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  • Title Differentiable Optimization and Equation Solving: A Treatise on Algorithmic Science and the Karmarkar Revolution (CMS Books in Mathematics)
  • Author Nazareth, John Lawrence
  • Binding Hardback
  • Edition American First
  • Condition Used - Very Good+
  • Pages 256
  • Volumes 1
  • Language ENG
  • Publisher Springer, New York, NY
  • Publication date 2003
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # 005522
  • ISBN 9780387955728 / 0387955720
  • Weight 1.14 lbs (0.52 kg)
  • Dimensions 9.44 x 6.1 x 0.73 in (23.98 x 15.49 x 1.85 cm)
  • Category Mathematics
  • Library of Congress subjects Mathematical optimization, Algorithms
  • Library of Congress Catalogue Number 2002030238
  • Dewey Decimal Code 519.3

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Reader reviews for Differentiable Optimization and Equation Solving: A Treatise on Algorithmic Science and the Karmarkar Revolution (CMS Books in Mathematics)

From the publisher

This book gives an overview of the dramatic reorganization that has occurred during the last decade in one area of mathematical programming and numerical computation: algorithmic differentiable optimization and equation-solving, or, more simply, algorithmic differentiable programming. The reader is assumed to be familiar with advanced calculus, numerical analysis, the theory and algorithms of linear and nonlinear programming, and the fundamentals of computer science. Thus, this monograph is intended for researchers in optimization and advanced graduate students. But others will find the ideas to be of interest as well.

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