Buch, Englisch, 256 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 423 g
Reihe: CMS Books in Mathematics
A Treatise on Algorithmic Science and the Karmarkar Revolution
Buch, Englisch, 256 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 423 g
Reihe: CMS Books in Mathematics
ISBN: 978-1-4419-3061-3
Verlag: Springer
An overview of the dramatic reorganization in reaction to N. Karmakar’s seminal 1984 paper on algorithmic linear programming in the area of algorithmic differentiable optimization and equation-solving, or, more simply, algorithmic differentiable programming. Aimed at readers familiar with advanced calculus and numerical analysis.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
- Mathematik | Informatik Mathematik Operations Research
Weitere Infos & Material
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.
