Introduction to Unconstrained Optimization with R

Name: Introduction to Unconstrained Optimization with R
Brand: Springer Verlag, Singapore
SKU: 9789811508967
Price: 49.05 EUR
Availability: InStock

Autor: Shashi Kant Mishra

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer Verlag, Singapore

Dostupnosť: Skladom u dodávateľa

Odosielame za 8-11 dní

49.05 €

This book discusses unconstrained optimization with R-a free, open-source computing environment, whi...

Informácie o knihe

Autor

Shashi Kant Mishra

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2021

Stránok

304

EAN

9789811508967

ISBN

9811508968

Enbook ID

33564759

Vydavateľ

Springer Verlag, Singapore

Hmotnosť

583

Rozmery

155 x 235 x 17

Kompletný popis

This book discusses unconstrained optimization with R-a free, open-source computing environment, which works on several platforms, including Windows, Linux, and macOS. The book highlights methods such as the steepest descent method, Newton method, conjugate direction method, conjugate gradient methods, quasi-Newton methods, rank one correction formula, DFP method, BFGS method and their algorithms, convergence analysis, and proofs. Each method is accompanied by worked examples and R scripts. To help readers apply these methods in real-world situations, the book features a set of exercises at the end of each chapter. Primarily intended for graduate students of applied mathematics, operations research and statistics, it is also useful for students of mathematics, engineering, management, economics, and agriculture.

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Introduction to Unconstrained Optimization with R

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