Linear Quadratic Cubic Polynomial Regression

This M-file is designed to compute a Linear Quadratic optimal output feeback controller for discrete-time systems. Platforms: Matlab

StatsEasy Regression allows you to compute linear equation from simple regression, you get the equation with slope and intercept, it draws the line graph and scatter diagram. Platforms: Any Browser + Java

Ro3n is a simple Qt application designed to solve mathematical equations - linear as well as quadratic. Platforms: *nix

This package contains program adaptations to invert large matrices with thousands of elements and solve linear system with many variables (up to 250 ). Operations performed are: inversion, multiplication, solving linear system, linear regression and polynomial regression. A useful Excel addin is... Platforms: MS Excel Add-in

This functions uses GRIDDATA to interpolate pixel values from scatterred points on a head image. A reference image can be used to interactively select point locations from the 10/20 international system (EEG electrode position). Options for interpolation include linear and cubic and nearest. The... Platforms: Matlab

Ro3n is a simple Qt application designed to solve mathematical equations - linear as well as quadratic. Platforms: Mac

Interactive multilingual mathematics software for training problem-solving skills offers 70439 algebraic problems, a variety of appropriate techniques to solve problems and a unique system of performance analysis with methodical feedback. Included are linear, quadratic, biquadratic, reciprocal,... Platforms: Windows

Free multilingual test authoring mathematics software enables math teachers and tutors to easily prepare math tests, quizzes and homeworks from a repository of more than 500 of solved math problems in arithmetic, pre-algebra, algebra, trigonometry and hyperbolic trigonometry, and develop numerous... Platforms: Windows

The gradient function in Matlab allows you to compute the slope of a curve along its entire length. But if your curve is a noisy one, then gradient will also be noisy. In this event one might desire to fit a moderately low order polynomial regression model in a sliding window, then differentiate... Platforms: Matlab

New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems.Use this tool by editing the file optimtips.m, then execute blocks of code in cell mode from the editor, or best, publish the file to... Platforms: Matlab

Numerical Mathematical Utilities offer powerful, specialized, mathematical capabilities, they are for immediate online use, and since they run within a web browser, they work on all the operating systems. Among the tools offered are utilities for solving the Quadratic, Cubic, and Quartic... Platforms: Any Browser+Javascript

clickfit_OH.m lets you mouse-click a series of datapoints on top of a (noisy) scatterplot and returns a spline or polynomial regression through the clicked dataseries. In addition the clicked series itself is returned.clickfit_OH.m uses an altered version of ginput.m (ginput_OH.m) that from the... Platforms: Matlab

This set of functions simply provides an easy way to work with the dispersion relation of surface waves, given by omega(k) = sqrt ( tanh(k*h0) * (g*k + gamma*k^3/rho))where omega is the pulsation (in rad/s), k the wavenumber (in 1/m), h0 the depth, g the gravity, gamma the surface tension and rho... Platforms: Matlab

Suspended and inverted pendulums were built in AutoDesk Inventor. SimMechanics is used to generate a Simulink model. This model generates the dynamics implicitly, so there is no need to solve the equations of motion by hand. The dynamics are used by control optimization software: DIDO, available... Platforms: Matlab

This book starts with a review of parameter optimization and then treats dynamic optimization, first with fixed final time and no constraints, next with terminal contraints, and finally with terminal constraints and open final time. This is followed by chapters on linear-quadratic problems and... Platforms: Matlab

The non-linear regression problem (univariate or multivariate) is easily posed using a graphical user interface (GUI) that solves the problem using one of the following solvers: - nlinfit: only univariate problems. - lsqnonlin: can deal with multivariate problems (more than one dependent fitting... Platforms: Matlab

The Multiple Regression Forecasting model provides a solid basis for identifying value drivers and forecasting data. While it utilises a range of commonly employed statistical measures to test the validity of the analysis, results are summarized in text for ease of use. Once relationships have... Platforms: Windows

This is free software that adds several spline and linear interpolation functions to Microsoft Excel. It is simple to use because the new functions work just like all other existing Excel functions. Spline functions include cubic spline, bessel spline, and 'OneWay' spline (which is a monotonic... Platforms: Windows, Windows 8, Windows 7, Windows Server

This script allows you to run a linear equations solver using eval and built-in complex numbers.One could add one more line to insert '*' where needed, i.e. "100x" -> "100*x", add some input validation, in particular check whether the equation is actually linear and not quadratic or cubic, and... Platforms: Windows, Mac, *nix, Python, BSD Solaris

This script is capable of solving a convex quadratic programming problem by Wolf's method. For the convergence of the algorithm it is necessary that either Hessian of the objective function be positive definite or positive semidefinite Hessian with linear term zero. For theory of Wolf method and... Platforms: Matlab