vefmath.blogg.se - Learn matlab

Learn matlab how to#
Learn matlab series#

tfe.m - estimate the transfer function from input-output data.

psd.m - estimate the power spectral density of a signal.

plotSpectra.m - plot a matrix of spectra (FRF's or PSD's).

Learn matlab series#

plotEnsemble.m - plot a set of time series in a compact format.inputs.m - generate input sequences, unit white noises, filtered white noises, chirp, impulse.ftdsp.m - digital signal processing (band-pass filtering, integration, differentiation) with the FFT.accel2displ.m - remove some bias and drift from acceleration data and compute displacement.PronyFit_test.m - a simple example of the use of PronyFit.m.PronyFit.m - linear least squares with l 1 regularization to fit a Prony series.L1_fit_test.m - a simple example of the use of L1_fit.m.L1_fit.m - linear least squares with l 1 regularization.Linear least squares with l 1 regularization mypolyfit.m - fit in an arbitrary power polynomial basis (actually linear least-squares).lm_plots.m - utility to plot results from lm.m.

Learn matlab how to#

lm_func.m - an example of how to enter a model for lm.m.lm_examp.m - an example of how to call lm.m.lm.m - Levenberg Marquardt algorithm: minimize sum of weighted squared residuals.The Levenberg-Marquardt algorithm for nonlinear least squares curve-fitting problems.Nonlinear least squares via Levenberg-Marquardt plot_cvg_hst.m plots the convergence history for the solution computed by ORSopt, NMAopt, or SQPopt.plot_surface.m plots the cost function as a surface over two of the parameter values, ORSopt, NMAopt, or SQPopt.optim_options.m is needed for ORSopt.m, NMAopt.m, and SQPopt.m.box_constraint.m determines the box constraint scaling factor a>0 to the perturbation vector r from x such that: max( x+ar) -1.avg_cov_func.m calculates average and coefficient of variation of a random penalized objective function.SQPopt.m implements a sequential quadratic programming algorithm.ORSopt.m implements an optimized step-size random search algorithm.NMAopt.m implements a Nelder-Mead algorithm.Examples of running constrained minimization codes.m-functions implement methods for minimizing a function of several parameters subject to a set of inequality constraints:į(x) is a scalar-valued objective function, Nonlinear constrained optimization, in general GEV GEV_pdf.m GEV_cdf.m GEV_inv.m GEV_rnd.m Laplace Laplace_pdf.m Laplace_cdf.m Laplace_inv.m Laplace_rnd.m Gamma gamma_pdf.m gamma_cdf.m gamma_inv.m gamma_rnd.m Rayleigh Rayleigh_pdf.m Rayleigh_cdf.m Rayleigh_inv.m Rayleigh_rnd.m

Poisson Poisson_pmf.m Poisson_cdf.m Poisson_rnd.mĮxponential exp_pdf.m exp_cdf.m exp_inv.m exp_rnd.m Log-normal logn_pdf.m logn_cdf.m logn_inv.m logn_rnd.m Normal normpdf.m normcdf.m norminv.m randn.m Quintic quintic_pdf.m quintic_cdf.m quintic_inv.m quintic_rnd.m Quartic quartic_pdf.m quartic_cdf.m quartic_inv.m quartic_rnd.m Quadratic quadratic_pdf.m quadratic_cdf.m quadratic_inv.m quadratic_rnd.mĬubic cubic_pdf.m cubic_cdf.m cubic_inv.m cubic_rnd.m

Triangular triangular_pdf.m triangular_cdf.m triangular_inv.m triangular_rnd.m Uniform unifpdf.m unifcdf.m unifinv.m rand.m m-functions can be used to compute probability distributionįunctions and to generate samples of random variables.

HPGfsolve.m system of nonlinear equations.

ode45u.m the adaptive time step, 4th-5th solver ODE solver by Cash and Karp.

ode4u.m a fixed-time step, 4th order ODE solver.

Nonhomogeneous nonlinear ordinary differential equations Bower, Brown Universityĭebugging Matlab m-Files, Purdue UniversityĮxtensive Matlab Documentation, The Mathworksįinite Elements Toolbox for Solid Mechanics, by Anton ZaicencoĮngineering Vibration Toolbox, from Wright State University Matlab Primer, 3rd edition, by Kermit Sigmond, University of Florida Matlab basics and a little beyond, David Eyre, University of Utah Introduction to Matlab, MIT Open Courseware see: Matlab OnRamp, Matlab Fundamentals, and Matlab Programming