Creating Governmental Models Grants

The Objectsheet is an evolution of the spreadsheet that makes creating models easier and less error-prone. Instead of a 'large grid of cells and scattered formulas', the Objectsheet uses finite-sized tables, Javascript objects, and formula templates.

A MATLAB toolbox for time series analysis using state space models. Supports fully interactive model construction with MATLAB objects and efficient Kalman filter backend implemented in c.

ThManager is a tool for creating and visualizing knowledge organization models, such as thesauri, classification schemes, glosaries and other types of controlled vocabulary in SKOS format


Platforms: Windows, Mac, Linux

This script contains a simple python function to automate using the swig process for creating C modules for use inside Python.


Platforms: *nix, Python, BSD

This code demonstrates the creation of complex regions and how to employ them to create 'windows with holes'.


Platforms: C and C plus plus

This file contains a set of 3D models with the following characteristics: p: nx3 array of 3D points t: ntx3 array of triangles id. First points flagged as 1. tnorm: ntx3 arrays normals of triangles with outward orientation.You can use this package to test your algorithms.Models can be dowloaded...


Platforms: Matlab

Hidden Markov models are used to describe the "stepping" behavior of molecular motors, as measured by single-molecule fluorescence techniques. Our HMM implementation is more versatile than the one described by Milescu, et al. Biophys. J. 91:3135-3150 and can be used as a "blind" step detector or...


Platforms: Matlab

The attached script and document help you to remove any Release 11 DSP Blockset blocks from your SimulinkdlT« models. The R11 libraries containing these blocks will no longer be shipped with Signal Processing Blocksetd-OC?D? starting with Release 2007a. If you plan to continue using these...


Platforms: Matlab

A common task in Simulink is to test a certain component of a larger model. With large-scale modeling, such componentization is often accomplished through the use of model reference. These large models also often use bus signals to organize large amounts of signals in the model. The situation at...


Platforms: Matlab

This submission provides functions (and examples scripts) for estimation, simulation and forecasting of a general Markov Regime Switching Regression. Features of the package:- Support for univariate and multivariate models.- Support of any number of states and any number of explanatory...


Platforms: Matlab

- This demo supports R2006a -> R2010aSimulink plant and controller models are used with LEGO's latest high-tech robot (ARM-based LEGO Mindstorms NXT) to illustrate industrial application of Model-Based Design with Production Code Generation. Take note of the model architecture and component...


Platforms: Matlab

This project deals with the translation of a Simulink models to SpecC specificationmodels. Matlab is one of the leading softwares in model based and algorithmic designing. SpecC (close to ANSI C) is a high level language which can be implemented on hardware usingSystem on Chip Environment(SCE)....


Platforms: Matlab

These files support the webinar titled "Developing Models from Experimental Data Using System Identification Toolbox". The webinar was presented on April 05, 2007 and can be found at:http://www.mathworks.com/wbnr30317For other webinars and demos related to System Identification Toolbox, please...


Platforms: Matlab

This submission includes functions and scripts for the estimation and simulation of ACD (autoregressive conditional duration) models. The zip file includes: - Scripts and functions for Estimation of an ACD(q,p) model with exponential or weibull distribution- Scripts and functions for Simulation...


Platforms: Matlab

This toolbox was designed to simulate and fit linear state space models. The main literature I used for this particular package is Kim and Nelson (1999). A state space model (without non stochastic coefficients) is given by:y(t)=beta(t)*x(t)'+e(t)...


Platforms: Matlab

An essential step in embedded software development, floating- to fixed-point conversion can be tedious, labor-intensive, and error-prone. System engineers frequently design algorithms in floating-point math, usually double-precision. This format represents the ideal algorithm behavior but takes...


Platforms: Matlab

Slides, software, and data for the MathWorks webinar, "Using MATLAB to Develop Macroeconomic Models." The file moneydemo.zip contains a file moneydemo.pdf with slides for the webinar and a collection of MATLAB scripts and helper functions to perform a number of macroeconomic analyses. The main...


Platforms: Matlab

MPIL is an instance-based learning system , which utilizes two models for creating neighborhoods. The first model places a single neighborhood sphere (based on Euclidean distance measure) around an instance, and is in nature similar to the nearest neighbor classifier, except that it removes...


Platforms: Windows

An important aspect of creating Web Forms pages for user input is to be able to check that the information users enter is valid. VDaemon is a PHP library that grants an easy-to-use but powerful way to check for errors and, if necessary, display messages to the user.


Platforms: BeOS, Windows, *nix

K3DSurf is a program to visualize and manipulate Mathematical models in three, four, five and six dimensions. K3DSurf supports Parametric equations and Isosurfaces. Features Studying mathematical surfaces with K3DSurf include doing: Interactive visualization with mouse events (Right:...


Platforms: Mac