Overview: Discusses all major aspects of unconstrained optimization with R.Presents important, basic methods with their algorithms, analysis, and proofs.Includes manually worked examples, R scripts, and real-woThis 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 a
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