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Introduction to Unconstrained Optimization with R

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Introduction to Unconstrained Optimization with R - Mishra, Shashi Kant, and Ram, Bhagwat
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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 ...

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Introduction to Unconstrained Optimization with R 2021, Springer, Singapore

ISBN-13: 9789811508967

2019 edition

Trade paperback

Introduction to Unconstrained Optimization with R 2020, Springer, Singapore

ISBN-13: 9789811508936

2019 edition

Hardcover