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Könyv Introduction to Unconstrained Optimization with R Shashi Kant Mishra

Introduction to Unconstrained Optimization with R

Szerző: Shashi Kant Mishra
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Springer Verlag, Singapore
Elérhetőség: Beszállítói készleten
Küldés 8-11 napon belül
18 915 Ft
This book discusses unconstrained optimization with R-a free, open-source computing environment, whi...

Információk a könyvről

Szerző
Shashi Kant Mishra
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2021
oldal
304
EAN
9789811508967
ISBN
9811508968
Enbook ID
33564759
Kiadó
Springer Verlag, Singapore
Súly
583
Méretek
155 x 235 x 17

Teljes leírás

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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