{ "_id": "6a1549d6acfb0bcc41d588b5", "Package": "neldermead", "Type": "Package", "Title": "R Port of the 'Scilab' Neldermead Module", "Version": "1.0-13", "Date": "2026-01-25", "Authors@R": "c(person(\"Sebastien\",\"Bihorel\",role=c(\"aut\",\"cre\"),email=\"sb.pmlab@gmail.com\"),\nperson(\"Michael\",\"Baudin\",role=c(\"cph\")))", "Description": "Provides several direct search optimization algorithms\nbased on the simplex method. The provided algorithms are direct\nsearch algorithms, i.e. algorithms which do not use the\nderivative of the cost function. They are based on the update\nof a simplex. The following algorithms are available: the fixed\nshape simplex method of Spendley, Hext and Himsworth\n(unconstrained optimization with a fixed shape simplex, 1962)\n, the variable shape\nsimplex method of Nelder and Mead (unconstrained optimization\nwith a variable shape simplex made, 1965)\n, and Box's complex method\n(constrained optimization with a variable shape simplex, 1965)\n.", "License": "CeCILL-2", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "LazyLoad": "yes", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-26 07:18:12 UTC", "User": "root" }, "Author": "Sebastien Bihorel [aut, cre], Michael Baudin [cph]", "Maintainer": "Sebastien Bihorel ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-01-26 06:30:14 UTC", "RemoteUrl": "https://github.com/cran/neldermead", "RemoteRef": "HEAD", "RemoteSha": "646fea7596884cadd7f2dce91159df5fcdb46b61", "MD5sum": "8175846d6118372c6047c6ee16d76d88", "_user": "cran", "_type": "src", "_file": 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neldermead module", "topics": [ "neldermead-package" ] }, { "page": "costf.transposex", "title": "Cost Function Call", "topics": [ "costf.transposex" ] }, { "page": "fmin.gridsearch", "title": "Grid evaluation of an unconstrained cost function", "topics": [ "fmin.gridsearch" ] }, { "page": "fminbnd", "title": "Computation of the constrained minimimum of given function with the Nelder-Mead algorithm.", "topics": [ "fminbnd" ] }, { "page": "fminbnd.function", "title": "fminbnd Cost Function Call", "topics": [ "fminbnd.function" ] }, { "page": "fminsearch.outputfun", "title": "fminbnd Output Function Call", "topics": [ "fminbnd.outputfun" ] }, { "page": "fminsearch", "title": "Computation of the unconstrained minimum of given function with the Nelder-Mead algorithm.", "topics": [ "fminsearch" ] }, { "page": "fminsearch.function", "title": "fminsearch Cost Function Call", "topics": [ "fminsearch.function" ] }, { "page": "fminbnd.outputfun", "title": "fminsearch Output Function Call", "topics": [ "fminsearch.outputfun" ] }, { "page": "neldermead", "title": "Neldermead objects", "topics": [ "is.neldermead", "neldermead", "print.neldermead", "summary.neldermead" ] }, { "page": "neldermead.algo", "title": "Nelder-Mead Algorithm", "topics": [ "boxlinesearch", "neldermead.algo", "neldermead.box", "neldermead.fixed", "neldermead.interpolate", "neldermead.storehistory", "neldermead.termination", "neldermead.variable" ] }, { "page": "neldermead.destroy", "title": "Erase a neldermead object.", "topics": [ "neldermead.destroy" ] }, { "page": "neldermead.function", "title": "Call Cost Function.", "topics": [ "neldermead.function" ] }, { "page": "neldermead.get", "title": "Get the value for the given element", "topics": [ "neldermead.get" ] }, { "page": "neldermead.restart", "title": "Restart neldermead search.", "topics": [ "neldermead.restart" ] }, { "page": "neldermead.search", "title": "Starts the optimization", "topics": [ "neldermead.search" ] }, { "page": "neldermead.set", "title": "Neldermead Object Configuration", "topics": [ "neldermead.set" ] }, { "page": "optimget", "title": "Queries an optimization option list", "topics": [ "optimget" ] }, { "page": "optimset", "title": "Configures and returns an optimization data structure.", "topics": [ "optimset" ] }, { "page": "optimset.method", "title": "Default set of optimization options", "topics": [ "optimset.method" ] }, { "page": "neldermead.startup", "title": "Secondary functions for neldermead.search", "topics": [ "neldermead.autorestart", "neldermead.costf", "neldermead.isrkelley", "neldermead.isroneill", "neldermead.istorestart", "neldermead.log", "neldermead.outputcmd", "neldermead.scaletocenter", "neldermead.scaletox0", "neldermead.startup", "neldermead.termstartup", "neldermead.updatesimp", "scaleinconstraints" ] } ], "_readme": "https://github.com/cran/neldermead/raw/HEAD/README.md", "_rundeps": [ "lattice", "Matrix", "optimbase", "optimsimplex" ], "_vignettes": [ { "source": "manual.Rmd", "filename": "manual.html", "title": "Introduction to the neldermead package", "author": "Sebastien Bihorel", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Description", "Basic object", "The cost function", "The output function", "Termination", "Notes about optimization methods", "Kelley's stagnation detection", "O'Neill's factorial optimality test", "Method of Spendley et al.", "Method of Nelder and Mead", "Box's complex algorithm", "User-defined algorithm", "User-defined termination", "Specialized functions", "fminsearch", "Direct grid search", "Examples", "Example 1: Basic use", "Example 2: Customized use", "Example 3: Optimization with bound constraints", "Example 4: Optimization with nonlinear inequality constraints", "Example 5: Passing data to the cost function", "Example 6: Direct grid search", "Dependencies of fminsearch", "References" ], "created": "2022-02-01 07:20:05", "modified": "2026-01-26 06:30:14", "commits": 2 } ], "_score": 4.100370545117563, 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