• PAINT

  • Referenced in 10 articles [sw10390]
  • provided by the PAINT method implies a mixed integer linear surrogate problem for the original ... synchronous NIMBUS method), the scalarizations of the surrogate problem can be optimized with available mixed ... interactive method is fast with the surrogate problem even though the problem is computationally expensive ... Numerical examples of applying the PAINT method for interpolation are included...
  • DAKOTA

  • Referenced in 49 articles [sw05202]
  • with design of experiments and parameter study methods. These capabilities may be used on their ... components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization...
  • FIVER

  • Referenced in 13 articles [sw18341]
  • proposed method include: (a) the definition of a discrete surrogate material interface, (b) the computation ... sparse grid tabulations otherwise. The proposed computational method is illustrated with the three-dimensional simulation...
  • ooDACE

  • Referenced in 3 articles [sw12876]
  • data from computationally expensive simulation codes, surrogate modeling methods are firmly established as facilitators ... visualization and optimization. Kriging is a popular surrogate modeling technique used for the Design...
  • SURROGATES

  • Referenced in 13 articles [sw07575]
  • SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods ... hypercube design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response surface, radial basis neural...
  • UQTk

  • Referenced in 2 articles [sw21917]
  • models, tools for sensitivity analysis, methods for sparse surrogate construction, and Bayesian inference tools...
  • pySOT

  • Referenced in 1 article [sw26653]
  • collection of synchronous and asynchronous surrogate optimization strategies, implemented in the POAP framework (https://github.com/dbindel/POAP). We support the stochastic RBF method by Regis and Shoemaker along ... with various extensions of this method and a general surrogate optimization strategy which covers most ... Bayesian optimization methods. We have implemented many different surrogate models, experimental designs, auxiliary problems (also...
  • DiceView

  • Referenced in 1 article [sw24192]
  • package DiceView: Plot Methods for Computer Experiments Design and Surrogate. View 2D/3D sections or contours...
  • RAMP

  • Referenced in 8 articles [sw02493]
  • tabu search. The extended PD-RAMP method, at the second level, integrates the RAMP approach ... both levels, based on Lagrangean and surrogate constraint relaxation on the dual side...
  • pyunicorn

  • Referenced in 3 articles [sw19314]
  • subsequently, investigating this structure using advanced methods of complex network theory such as measures ... interacting networks, node-weighted statistics or network surrogates. Additionally, pyunicorn provides insights into the nonlinear...
  • Whittle Surrogate

  • Referenced in 1 article [sw22532]
  • respects. The code in this package produces surrogates sequences iteratively. At each step a symbol ... given by Whittle’s formula. This method guarantees an output sequence that is chosen with ... probability from the set of all possible surrogates...
  • iml

  • Referenced in 1 article [sw28966]
  • predictions of any machine learning model. Implemented methods are: Feature importance described by Fisher ... /07-AOAS148> and tree surrogate models...
  • SO-I

  • Referenced in 5 articles [sw10100]
  • global optimization applications. This paper presents the surrogate model based algorithm SO-I for solving ... problems have many local optima. However, the method is also shown to perform well...
  • RBFOpt

  • Referenced in 2 articles [sw28416]
  • based on the Radial Basis Function method originally proposed by Gutmann (J Glob Optim ... which builds and iteratively refines a surrogate model of the unknown objective function...
  • GPMfit

  • Referenced in 2 articles [sw26717]
  • Gaussian Process (GP) models are popular statistical surrogates used for emulating computationally expensive computer simulators ... likelihood function may not be available. Previous methods for optimizing the likelihood function have proven...
  • ELFI

  • Referenced in 1 article [sw26681]
  • available inference methods without modifications. A central method implemented in ELFI is Bayesian Optimization ... several orders of magnitude by surrogate-modelling the distance. ELFI also has an inbuilt support ... This makes the adding of new inference methods to ELFI straightforward and automatically compatible with...
  • CoinCalc

  • Referenced in 1 article [sw19590]
  • event coincidence analysis (ECA), a novel statistical method to quantify the simultaneity of events contained ... also provides different analytical as well as surrogate-based significance tests (valid under different assumptions...
  • EMBERS

  • Referenced in 1 article [sw27603]
  • societal significant societal events from open source surrogates. We describe the design, implementation, and evaluation ... demonstrate the superiority of EMBERS over baserate methods and its capability to forecast significant societal...
  • Sets2Networks

  • Referenced in 1 article [sw24189]
  • more practical to infer the network from surrogate observations. Network inference is the process ... data, less attention has been paid to methods which infer networks from repeated co-occurrence...
  • iBATCGH

  • Referenced in 1 article [sw19388]
  • transcriptomic and CGH data. We describe a method for the integration of high-throughput data ... turn, are related to the observed surrogate CGH measurement via a hidden Markov model. Selection ... inferential algorithm. Lastly, we illustrate the method via a case study on ovarian cancer...