Differentiable Optimization and Equation Solving

A Treatise on Algorithmic Science and the Karmarkar Revolution

Specificaties
Gebonden, 256 blz. | Engels
Springer New York | 2003e druk, 2003
ISBN13: 9780387955728
Rubricering
Springer New York 2003e druk, 2003 9780387955728
Onderdeel van serie CMS Books in Mathematics
€ 122,99
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Samenvatting

In 1984, N. Karmarkar published a seminal paper on algorithmic linear programming. During the subsequent decade, it stimulated a huge outpouring of new algorithmic results by researchers world-wide in many areas of mathematical programming and numerical computation. This book gives an overview of the resulting, dramatic reorganization that has occurred in one of these areas: algorithmic differentiable optimization and equation-solving, or, more simply, algorithmic differentiable programming. The book is aimed at readers familiar with advanced calculus, numerical analysis, in particular numerical linear algebra, the theory and algorithms of linear and nonlinear programming, and the fundamentals of computer science, in particular, computer programming and the basic models of computation and complexity theory.

"Very fine monograph...filled with great insights."

-Joseph F. Traub, Columbia University

Specificaties

ISBN13:9780387955728
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:256
Uitgever:Springer New York
Druk:2003

Inhoudsopgave

Foundations.- The Karmarkar Revolution.- The Newton-Cauchy Method.- Euler-Newton and Lagrange-NC Methods.- Lessons from One Dimension.- A Misleading Paradigm.- CG and the Line Search.- Gilding the Nelder—Mead Lily.- Choosing the Right Diagonal Scale.- Historical Parallels.- LP from the Newton-Cauchy Perspective.- Diagonal Metrics and the QC Method.- Linear Programming Post-Karmarkar.- LP from the Euler-Newton Perspective.- Log-Barrier Transformations.- Karmarkar Potentials and Algorithms.- Algorithmic Science.- Algorithmic Principles.- Multialgorithms: A New Paradigm.- An Emerging Discipline.
€ 122,99
Levertijd ongeveer 8 werkdagen

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        Differentiable Optimization and Equation Solving