Reading for Martin Luther King Day


Course Notes

matlab functions for optimization

These matlab functions implement methods for minimizing a function of several variables subject to a set of inequality constraints:
minimize f(x) such that g(x) ≤ 0,
where x is a vector of design variables, f(x) is a scalar-valued objective function, and g(x) is a vector of constraints.

matlab functions for random variables

These matlab functions can be used to compute probability distribution functions and to generate samples of random variables.
Distribution PDF, fX(x) CDF, FX(x) inverse CDF, FX-1(p) generate sample, x1 ... xN
uniform unifpdf.m unifcdf.m unifinv.m rand.m
triangular triangular_pdf.m triangular_cdf.m triangular_inv.m triangular_rnd.m
quadratic quadratic_pdf.m quadratic_cdf.m quadratic_inv.m quadratic_rnd.m
beta beta_pdf.m beta_cdf.m beta_inv.m beta_rnd.m
normal norm_pdf.m norm_cdf.m norm_inv.m norm_rnd.m
log-normal logn_pdf.m logn_cdf.m logn_inv.m logn_rnd.m
Poisson Poisson_pmf.m Poisson_cdf.m Poisson_rnd.m
exponential exp_pdf.m exp_cdf.m exp_inv.m exp_rnd.m
Rayleigh Rayleigh_pdf.m Rayleigh_cdf.m Rayleigh_inv.m Rayleigh_rnd.m
ext I extI_pdf.m extI_cdf.m extI_inv.m extI_rnd.m
ext II extII_pdf.m extII_cdf.m extII_inv.m extII_rnd.m
gamma gamma_pdf.m gamma_cdf.m gamma_inv.m gamma_rnd.m
Laplace Laplace_pdf.m Laplace_cdf.m Laplace_inv.m Laplace_rnd.m
GEV GEV_pdf.m GEV_cdf.m GEV_inv.m GEV_rnd.m
Chi-squared chi2_pdf.m chi2_cdf.m chi2_inv.m chi2_rnd.m
Student's-t t_pdf.m t_cdf.m t_inv.m t_rnd.m

Outside Reading

© 2001-2020 Henri P. Gavin; updated: 2001-09-27, 2003-12-15, 2004-01-07, 2005-02-14, 2006-01-11, 2009-08-07, 2011-01-05, 2014-01-08, 2015-01-07, 2016-01-13, 2020-01-20, 2024-02-28