• bootlib

  • Referenced in 426 articles [sw40642]
  • analysis using simulation to obtain reliable standard errors, confidence intervals, and other measures of uncertainty...
  • DAKOTA

  • Referenced in 77 articles [sw05202]
  • Design Optimization,Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis, The Dakota (Design Analysis ... analysis methods. Dakota contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification ... with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study ... mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement...
  • Mu Analysis and Synthesis Toolbox

  • Referenced in 110 articles [sw19506]
  • analysis and synthesis of control systems, with an emphasis on quantifying the effects of uncertainty ... theory, namely H∞ optimal control and m analysis and synthesis techniques. This package allows...
  • Chaospy

  • Referenced in 12 articles [sw31225]
  • sampling schemes, and statistical metrics for uncertainty analysis. In addition, the software introduces some novel...
  • Data2Dynamics

  • Referenced in 12 articles [sw25272]
  • frequentist and Bayesian methods for uncertainty analysis have been implemented and used on a range...
  • AK-MCS

  • Referenced in 67 articles [sw18303]
  • reliability analysis. Widespread in optimisation, Kriging has just started to appear in uncertainty propagation...
  • PESTO

  • Referenced in 9 articles [sw28243]
  • algorithms for optimization and uncertainty analysis, which work in a very generic manner, treating...
  • MPT

  • Referenced in 230 articles [sw04732]
  • free Matlab toolbox for design, analysis and deployment of optimal controllers for constrained linear, nonlinear ... systems with persistent additive and polytopic uncertainties. Users can add custom constraints, such as polytopic...
  • PYGMALION

  • Referenced in 5 articles [sw08297]
  • several efficient methods for sensitivity analysis, uncertainty analysis, parameter estimation, model selection or data assimilation...
  • UNCSAM

  • Referenced in 4 articles [sw00990]
  • Software Package for Sensitivity and Uncertainty Analysis. Sensitivity and uncertainty analysis are generally recognized ... RIVM for performing sensitivity and uncertainty analysis on a large variety of models. UNCSAM combines ... correlation analysis, to obtain a clear picture of the sensitivities and uncertainties and their main...
  • FuzzyFTA

  • Referenced in 6 articles [sw12421]
  • fuzzy fault tree system for uncertainty analysis. This paper describes a new approach ... computational system, FuzzyFTA, for reliability analysis using fault tree and fuzzy logic. Some measures ... defined to determine critical components and the uncertainty contribution of each one to the system ... application is the Auxiliary Feedwater System (AFWS) analysis, a recent study made for Angra...
  • SCALE 6.2

  • Referenced in 6 articles [sw18190]
  • physics, radiation shielding, and sensitivity and uncertainty analysis. For more than 30 years, regulators, industry...
  • BATMAN

  • Referenced in 4 articles [sw29121]
  • Batman stands for Bayesian Analysis Tool for Modelling and uncertAinty quaNtification. It is a Python ... allows to do statistical analysis (sensitivity analysis, Uncertainty Quantification, moments) based on non-intrusive ensemble ... regressors), Optimization (Expected Improvement), Sensitivity/Uncertainty Analysis (SA, UA) and Uncertainty Quantification (UQ), Visualization...
  • PeriPy

  • Referenced in 5 articles [sw38633]
  • outer-loop’ applications, including sensitivity analysis, uncertainty quantification and optimisation. Our python software toolbox utilises...
  • SimLab

  • Referenced in 4 articles [sw15920]
  • free development framework for Sensitivity and Uncertainty Analysis. SimLab is a professional tool for model ... learn, use and exploit global uncertainty and sensitivity analysis techniques. The SimLab license encourages free...
  • DUE

  • Referenced in 3 articles [sw27796]
  • inputs, can be incorporated into an uncertainty analysis. Alongside expert judgement, sample data ... conceptual framework for structuring an uncertainty analysis, allowing users without direct experience of uncertainty methods...
  • BDI-POMDP

  • Referenced in 6 articles [sw03092]
  • approaches lack tools for quantitative performance analysis under uncertainty. Distributed partially observable Markov decision problems ... exploited to improve POMDP tractability and POMDP analysis improves BDI team plan performance. Concretely ... allocation technique that takes into account future uncertainties in the domain; prior work in multiagent ... role allocation has failed to address such uncertainties. To that end, we introduce RMTDP (Role...
  • GRESS

  • Referenced in 13 articles [sw00385]
  • preprocessor for sensitivity analysis of Fortran programs. Sensitivity and uncertainty analyses are necessary components ... parameter uncertainties. This report describes an automated procedure for performing a comprehensive sensitivity analysis using...
  • RACT

  • Referenced in 20 articles [sw06924]
  • probabilistic analysis and synthesis of control systems affected by various uncertainty structures...
  • ProbCD

  • Referenced in 5 articles [sw20338]
  • ProbCD: enrichment analysis accounting for categorization uncertainty. As in many other areas of science, systems ... contingency tables, a type of categorical data analysis known in this field as enrichment (also ... over-representation or enhancement) analysis. In spite of efforts to create probabilistic annotations, especially ... address the issue of uncertainty in categorical data analysis. In particular, concerning the enrichment analysis...