NISP

• NISP
  • nisp_overview — An overview of the NISP toolbox.
  • nisp_polychaos — A class to manage a Polynomial Chaos expansion.
  • nisp_randvar — A class to manage a random variable.
  • nisp_setrandvar — A class to manage a set of random variables.
  • Configuration
    • nisp_destroyall — Destroy all current objects.
    • nisp_getpath — Returns the path to the current module.
    • nisp_initseed — Sets the seed of the uniform random number generator.
    • nisp_printall — Prints all current objects.
    • nisp_shutdown — Shuts down the NISP toolbox.
    • nisp_startup — Starts up the NISP toolbox.
    • nisp_verboselevelget — Returns the current verbose level.
    • nisp_verboselevelset — Sets the current verbose level.
  • Sensitivity Analysis
    • nisp_bruteforcesa — Compute sensitivity indices by brute force.
    • nisp_sobolsaAll — Compute sensitivity indices by Sobol, Ishigami, Homma.
    • nisp_sobolsaFirst — Compute sensitivity indices by Sobol, Ishigami, Homma.
    • nisp_sobolsaTotal — Compute sensitivity indices by Sobol, Ishigami, Homma.
  • Support
    • nisp_buildlhs — Creates a LHS design
    • nisp_corrcoef — Returns the linear correlation coefficient of x and y.
    • nisp_cov — Returns the empirical covariance matrix.
    • nisp_erfcinv — Computes the inverse erfc function.
    • nisp_expcdf — Computes the Exponential CDF.
    • nisp_expinv — Computes the Exponential quantile.
    • nisp_exppdf — Computes the Exponential PDF.
    • nisp_lognormalcdf — Computes the Lognormal CDF.
    • nisp_lognormalinv — Computes the Lognormal quantile.
    • nisp_lognormalpdf — Computes the Lognormal PDF.
  • Test Functions
    • nisp_ishigami — Returns the Ishigami function.
    • nisp_ishigamisa — Exact sensitivity analysis for the Ishigami function
    • nisp_product — Returns the value of the product function
    • nisp_productsa — Exact sensitivity analysis for the Product function
    • nisp_sum — Returns the value of the sum function
    • nisp_sumsa — Returns the sensitivity indices of the Sum function