• ABC

  • Referenced in 276 articles [sw10950]
  • work, ABC algorithm is used for optimizing multivariable functions and the results produced...
  • INTLAB

  • Referenced in 435 articles [sw04004]
  • nonlinear equations (including unconstrained optimization) roots of univariate and multivariate nonlinear equations (simple and clusters ... systems of nonlinear equations) Hessians (for global optimization) Taylor series for univariate functions automatic slopes ... integration of (simple) univariate functions univariate and multivariate (interval) polynomials rigorous real interval standard functions...
  • subplex

  • Referenced in 25 articles [sw04818]
  • simplex method for the unconstrained optimization of general multivariate functions. Like the Nelder-Mead simplex ... subplex method is well suited for optimizing noisy objective functions. The number of function evaluations...
  • Matching

  • Referenced in 17 articles [sw08094]
  • Propensity Score Matching with Balance Optimization. Provides functions for multivariate and propensity score matching ... optimal balance based on a genetic search algorithm. A variety of univariate and multivariate metrics...
  • CMARS

  • Referenced in 27 articles [sw08523]
  • nonparametric regression with multivariate adaptive regression splines supported by continuous optimization Regression analysis ... high-dimensional problems and fitting nonlinear multivariate functions. A special advantage of MARS lies ... regularization problem, and treat this with continuous optimization technique, in particular, the framework of conic...
  • desirability

  • Referenced in 5 articles [sw10627]
  • Optimization and Ranking. S3 classes for multivariate optimization using the desirability function by Derringer...
  • minFunc

  • Referenced in 16 articles [sw12928]
  • Matlab function for unconstrained optimization of differentiable real-valued multivariate functions using line-search methods ... interface very similar to the Matlab Optimization Toolbox function fminunc, and can be called...
  • OPTAC

  • Referenced in 4 articles [sw00654]
  • interest for anyone concerned with multivariate optimization, convergence, and, in particular, visualization of mathematical algorithms...
  • CMA-ES

  • Referenced in 109 articles [sw05063]
  • linear or non-convex continuous optimization problems. They belong to the class of evolutionary algorithms ... candidate solutions are sampled according to a multivariate normal distribution in the mathbb ... Quasi-Newton method in classical optimization. In contrast to most classical methods, fewer assumptions...
  • TFRP

  • Referenced in 3 articles [sw37089]
  • threshold. For a certain k, an optimal multivariable microaggregation has the lowest information loss...
  • nbpMatching

  • Referenced in 14 articles [sw06785]
  • complexity is low. This article reviews the optimal nonbipartite matching algorithm and its statistical applications ... comparing two multivariate distributions. We also introduce an R package that performs optimal nonbipartite matching...
  • Gifi

  • Referenced in 5 articles [sw26195]
  • package Gifi: Multivariate Analysis with Optimal Scaling. Implements categorical principal component analysis (’PRINCALS’), multiple correspondence...
  • fmincon

  • Referenced in 20 articles [sw08758]
  • function fmincon: Find minimum of constrained nonlinear multivariable function. fmincon attempts to find a constrained ... generally referred to as constrained nonlinear optimization or nonlinear programming...
  • V-MDAV

  • Referenced in 6 articles [sw11787]
  • MDAV: A multivariate microaggregation with variable group size. Microaggregation is a clustering problem with minimum ... anonymized versions of confidential microdata. Optimally solving microaggregation on multivariate data sets is known...
  • aspect

  • Referenced in 4 articles [sw25361]
  • aspect: A General Framework for Multivariate Analysis with Optimal Scaling. Contains various functions for optimal ... function performs implements the LINEALS approach for optimal scaling by minimization of an aspect based ... category scores can be used for further multivariate methods such as structural equation models...
  • MVF

  • Referenced in 8 articles [sw26955]
  • Multivariate test functions library in C for unconstrained global optimization. Mvf.c is a library...
  • Honeywell Profit

  • Referenced in 1 article [sw20415]
  • issues across every plant layer. Profit Optimization Suite: Multivariable control and optimization strategies help deliver...
  • NLCertify

  • Referenced in 4 articles [sw08786]
  • NLCertify: A Tool for Formal Nonlinear Optimization. NLCertify is a software package for handling formal ... inequalities involving transcendental multivariate functions. The tool exploits sparse semialgebraic optimization techniques with approximation methods...
  • subselect

  • Referenced in 7 articles [sw06780]
  • multivariate linear model, and (ii) search for subsets which are optimal under various criteria...
  • FastBDT

  • Referenced in 2 articles [sw19837]
  • speed-optimized and cache-friendly implementation of stochastic gradient-boosted decision trees for multivariate classification ... paper presents a speed-optimized and cache-friendly implementation for multivariate classification called FastBDT. FastBDT ... learn and XGBoost. The concepts used to optimize the execution time and performance studies...