Differentiable Optimization and Equation Solving: A Treatise on Algorithmic Science and the Karmarkar Revolution / Edition 1

Differentiable Optimization and Equation Solving: A Treatise on Algorithmic Science and the Karmarkar Revolution / Edition 1

by John L. Nazareth
ISBN-10:
0387955720
ISBN-13:
9780387955728
Pub. Date:
03/05/2003
Publisher:
Springer New York
ISBN-10:
0387955720
ISBN-13:
9780387955728
Pub. Date:
03/05/2003
Publisher:
Springer New York
Differentiable Optimization and Equation Solving: A Treatise on Algorithmic Science and the Karmarkar Revolution / Edition 1

Differentiable Optimization and Equation Solving: A Treatise on Algorithmic Science and the Karmarkar Revolution / Edition 1

by John L. Nazareth
$109.99
Current price is , Original price is $109.99. You
$109.99 
  • SHIP THIS ITEM
    In stock. Ships in 1-2 days.
  • PICK UP IN STORE

    Your local store may have stock of this item.


Overview

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


Product Details

ISBN-13: 9780387955728
Publisher: Springer New York
Publication date: 03/05/2003
Series: CMS Books in Mathematics , #11
Edition description: 2003
Pages: 256
Product dimensions: 6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

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.
From the B&N Reads Blog

Customer Reviews