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Introduction to Unconstrained Optimization with R

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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.weiterlesen

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-9811508943 / 978-9811508943 / 9789811508943

Verlag: Springer Singapore

Erscheinungsdatum: 17.12.2019

Seiten: 304

Autor(en): Shashi Kant Mishra, Bhagwat Ram

53,49 € inkl. MwSt.
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