Linear Quadratic Cubic Polynomial Regression

(1) CubicBezier1.m : Evaluates Cubic Bezier Curve for given four Control Points and interval.(2) PlotBezier1.m : Plots Bezier Curve, Control Points, Control Polygon(3) TestCircleApproxByCubicBezier.m : Test Program. Pass Control Points that approximate unit radius circle using cubic Beizer...

The programs compute the bifurcation diagram for the cubic map and a realistic population dynamics model. The value of parameter r, when the cycle of period three appears, is indicated. As expected, for higher values of r, we observe chaotic behaviour. Both models are given in the problems?...

Solves the mixed integer linear problem:min c'*xs.t. A*x


Platforms: Matlab

SolverNxN is designed to solve many small linear system in a vectorized way in order to improve time perfomaces. It is in practice a faster alternative to the matlab commands: for k = 1:number_of_systemsx=Ab;end The Matlab looping speed can visibly slow down this process so most of the time is...


Platforms: Matlab

This routine plots the cubic-spline curve that will pass through given set of points.It is assumed that the user has knowledge of the Mathematics that is being used in the program, if he / she has to understand the logic.As a 'user of routine' rather, there is no complexity as far as usability is...


Platforms: Matlab

NOREDUND - Remove redundant linear inequalities from a set of inequalities; i.e., remove redundant linear constraints defining a feasible region. Note that the feasible region satisfies A*x


Platforms: Matlab

Software described in and associated with the paper"Numerical algorithms and issues concerning the discrete-time optimal projection equations for systems with white parameters", Proceedings UKACC International Conference on Control '98, 1-4 Sept. 1998, University of Swansea, UK, Vol. 2,...


Platforms: Matlab

When drawing financial time series from various markets, one usually needs to make some adjustments before evaluating the series. One of the major concerns is that due to different national holidays or working days across countries, the dates happen to be not synchronized. Clearly this could make...


Platforms: Matlab

This book focuses on the theory, implementation, and applications of subspace identification algorithms for linear time-invariant finite-dimensional dynamical systems.For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1458.jsp.


Platforms: Matlab

This function implements a method of using genetic algorithms to optimise the form of a polynomial, i.e. reducing the number of terms required in comparison to a least-squares fit using all possible terms, as described in the following paper:Clegg, J. et al, "The use of a genetic algorithm to...


Platforms: Matlab

The art of fitting a nonlinear regression model often starts with choosing a model form. This submission is an attempt to teach the reader a simple but general paradigm for their models as a sum of fundamental shapes that are then shifted and scaled to fit the data.I've included a bestiary of...


Platforms: Matlab

This is a learning model for matrix-based data. It can be more efficient than standard vector-based models when the training sample is small or the inputs are matrices, since this model has less parameters than standard ones and exploits an inner structure of the inputs. This model can be...


Platforms: Matlab

This function will perform a local regression at the given points. Using the data at hand. You will need to input a spanwidth which will tell the function how many datapoints he will use in the local regression at each evaluation.Example...


Platforms: Matlab

The model relies on the theory of strength of least square curve fitting and auto regression techniques.


Platforms: Matlab

The EJS Linear Charge Gauss's Law model shows a Gaussian surface and allows for the measurement of the charge enclosed and surface area of the surface. Users can change the radius of the linear charge as well as the size of the Gaussian surface. Users can modify this simulation if Ejs is...


Platforms: Mac

Fuzzy numbers and basic fuzzy arithmetics (+, -, *, /, 1/x) implementation written in Java. Should be used as a library, but it also has a GUI which demonstrates its capabilities (using SWT widgets). Features: * Implements L-R fuzzy numbers and Decomposed fuzzy numbers * Linear, Gaussian,...


Platforms: Mac

The Fermi-Pasta-Ulam (FPU) problem is named after the numerical experiments first performed by Enrico Fermi, John Pasta, and Stanislaw Ulam in the summer of 1953 on the Los Alamos MANIAC computer, one of the first electronic computers. They wanted to understand how a one-dimensional crystal...


Platforms: Mac

Adds the statistical functions ANOVA (OneWayANOVA-Stacked, OneWayANOVA-Unstacked, TwoWayANOVA)and Multiple Linear Regression ( output with Coefficients and further forecasting based on the Multiple Linear Regression model)into the Statistics Category of the function list of prevailing OpenOffice...


Platforms: Mac

Arkan is designed to convert border of a raster mask (selection of an object in scene) or any closed polyline into B-spline (piecewise cubic Bezier curve) representation spread widely in vector graphics packages. Arkan chooses the best position both for node points (junctions of adjacent Bezier...


Platforms: Windows

Cut 1D X is an Automation Component used for obtaining optimal cutting designs of one dimensional pieces which may have angles different of 90 degrees at their extremities. Cut 1D X can be used for cutting linear pieces such as bars, pipes, tubes, steel bars, or any other material used by...


Platforms: Windows