Linear Model

The Ejs Duffing Chaos model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN*x' - x (1 - x2) = f cos(?Ya* t), where each prime denotes a time derivative. The simulation displays two solutions with different initial positions and a plot of phase. The evolution...

The Ejs Duffing Poincare model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN*x' - x (1 - x2) = f cos(?Ya* t), where each prime denotes a time derivative. The simulation displays the solution Poincare plot. The evolution parameters can be changed via textboxes....

The Ejs Duffing Attractor model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN* x' - x (1 - x2) = f cos(?Ya* t), where each prime denotes a time derivative. The simulation displays a three-dimensional plot of phase space versus angle and three Poincare plots...


Platforms: Mac

Linear Program Solver is a small, simple, very easy to use tool specially designed to help you solve linear programming models. This tool offers: informative solving reports, extended sensitivity analysis, mixed integer models engine. LiPS supports MPS format and simple LP format (like...


Platforms: Windows

This submission provides the files used in the webinar presentation, "Model-Based Design of Landing Gear".In this presentation, we demonstrate how Model-Based Design (MBD) can be used for the development of flight landing systems. We create and show flight simulations of landings of NASA?s HL20...


Platforms: Matlab

Today safety critical flight control systems are tested using model based approach. The model blocks are proprietary and seldom shared in the open. A benchmark problem was designed as part of a research activity to test out certain test case generation techniques. This model was also used as a...


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

Bayesian Model Averaging for linear models under Zellner's g prior. Options include: fixed (BRIC, UIP, ...) and flexible g priors (Empirical Bayes, hyper-g), 5 kinds of model prior concepts, and model sampling via model enumeration or MCMC samplers (Metropolis-Hastings plain or reversible jump)....


Platforms: Matlab

INPUTS: x - vector row with 'x' values y - vector row with 'y' values r - expected 'x'-coordinate of break point if r is empty it is calculated during the optimisation p - if p is equal to 1 the fit is plotted OUTPUT: th - estimated paremeters of the regression lines y_1 = th(1) + th(2) * x y_2 =...


Platforms: Matlab

Fits the Laird-Ware Linear Random Effects Model. This model assumes that for each subject y=x*b+z*g+e where x and z are known m x p and m x r matricies, b is p x 1 parameter vector and g is a r vector which has a multivariate normal distribution with mean zero, e is a vector of identitcal...


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

The STP XY Model program implements a Monte Carlo simulation of the planar ferromagnet or XY Model of spins on a lattice. The simulation returns the configuration of spins with the option of showing the vortices. The default system is a lattice of linear dimension L = 20 at temperature T = 0.89....


Platforms: Mac

The Ejs Orbiting Mass with Constant Force model displays the dynamics of an orbiting mass due to a constant force (a linear potential energy function). The simulation displays the motion of the mass as well as the effective potential energy. The initial conditions can be changed by dragging the...


Platforms: Mac

The Decision Assistant Model Excel allows you to value a decision and determine the impact on your business. It calculates the range of possible outcomes for your decision, their likelihood of occurring, the average outcome, and the probability of the outcome being positive (profitable). It...


Platforms: Windows, Other

This model calculates the Product or Service Mix that maximizes overall profit considering available resources. It will identify the mix (number) of each Production Item to produce and any remaining resource. Up to six unique Production Items can be handled with ten specific resource inputs....


Platforms: Windows, Other

Model Assistant Suite is the most useful collection of add-ins for people who uses Excel as a decision making tool: to build, review, analyze and present more robust models, quicker. BUILD: To develop and format professionally your Excel models is now easier with Model Builder for Excel !! AUDIT:...


Platforms: Windows

This tool contains a serie of functionalities allowing you to boost analysis capacity and versatility in your Excel decision making models, as it includes the functions of several of our products: Build, analyze and manage multiple scenarios to any model quickly, easily and without having to...


Platforms: Windows

With Model Builder for Excel you can perform fast and accurately repetitive and time consuming tasks, such as transposing linked formulas, if formulas, consolidating sheets, consolidate ranges, swapping data, etc. Model Builder for Excel will allow you to audit, understand and analyze any...


Platforms: Windows

Proc::BackOff::Linear is a generic module meant to be directly inherited from and then modified by overloading the calculate_back_off object method. SYNOPSIS Usage: use Proc::BackOff::Linear; my $obj = Proc::BackOff::Linear->new( { $slope => 5, x => count, b => 0 ); # sequence would be...


Platforms: *nix

Config::Model provides a framework to help in validating the semantic content of configuration data. Config::Model can also be used to provide a semantic check of options of a complex program like mplayer or transcode. How does this work ? Using this project, a typical configuration...


Platforms: *nix