NISP
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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
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