Triathlon Bike Fitting

Solve a fun Super Bike puzzle, see how quickly you complete it.

The model includes simulation of hydraulic line, general fitting and an orifice.

Analyze and visualize tours in many variations, which are recorded with a GPS device, bike-, exercise- or ergometer-computer. Some highlights: Tools are available to adjust recorded data, GPS tours can be visualized in customizable maps, ...


Platforms: Windows, Mac, Linux

Run the file main.m and everything works fine.The matrix A contains the data points and it can be changed in the file inputfile.m


Platforms: Matlab

A command-line peak fitting program for time-series signals, written as a self-contained Matlab function in a single m-file. Uses an non-linear optimization algorithm to decompose a complex, overlapping-peak signal into its component parts. The objective is to determine whether your signal can be...


Platforms: Matlab

This file explains how to run the demo shown in the July 2005 MATLAB Digest Article "Improving an Engine Cooling Fan Using Design for Six Sigma Techniques." You will need MATALAB, Statistics Toolbox, Curve Fitting Toolbox, and Optimization Toolbox to run all of the analysis. I recommend you view...


Platforms: Matlab

The Ezyfit toolbox for Matlab enables the user to perform simple curve fitting of one-dimensional data using arbitrary (non linear) fitting functions.It will add a new menu to the MATLAB interface, which will make it more easily to write ser-defined fit equations, make interactive selections or...


Platforms: Matlab

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

A computational method for quantitative analysis by multiwavelength absorption spectroscopy, called the Tfit method, based on fitting a model of the instrumentally-broadened transmission spectrum to the observed transmission data. It has the advantages of wider dynamic range and greatly improved...


Platforms: Matlab

Simple example of the use of the FMINSEARCH function to fit the blackbody equation to the emission spectrum of an incandescent body for the purpose of estimating its color temperature and emissivity. fitblackbody.m is the fitting function. BlackbodyDataFit.m is a script that fits a small set of...


Platforms: Matlab

LABEL is a generalization of BWLABEL: BWLABEL works with 2-D binary images only, whereas LABEL works with 2-D arrays of any class. L = LABEL(I,N) returns a matrix L, of the same size as I, containing labels for the connected components in I. Two adjacent components (pixels), of respective indexes...


Platforms: Matlab

A peak fitting program for time-series signals, written as a self-contained function in a single m-file. Uses an non-linear optimization algorithm to decompose a complex, overlapping-peak signal into its component parts. The objective is to determine whether your signal can be represented as the...


Platforms: Matlab

[M,B] = AG_RECTA(X,Y) finds the the slope M and the y-intercept B of the line that better fits to the X,Y data. X and Y are vectors of the same length.


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

The Function Plotting and Data Fitting Model allows you to create customizable plots to interactively explore the properties of up to three functions at a time. When you enter a function, adjustable parameters are automatically recognized, and sliders are created to vary the values of these...


Platforms: Mac

This example solves a complex curve fitting problem that involves parameter pooling and stratification using a nonlinear least-squares approach. This example also takes advantage of some new language features with MATLAB 7. * Anonymous functions * Nested functions


Platforms: Matlab

fitChiSquare is a generalized chi-square fitting routine for any model function when data measurement errors are known; it returns the model parameters and their uncertainties at the delta chi-square = 1 boundary (68% confidence interval). It also returns the chi-square and degrees of freedom...


Platforms: Matlab

The Levenberg-Marquardt Fitting of Nuclear Decay Model demonstrates how EJS can be used to fit experimental data. In this simulation, nuclear decay data are used to provide a simple example, but this same process can be applied to any type of data. The sum of squared deviations is minimized but...


Platforms: Mac

KinetDS is a software for curve fitting particularly designed for kinetic (mechanistic and empirical) description of a substance dissolution from solid state. It was primarily designed for handling pharmaceutical dissolution tests


Platforms: *nix

There is no selection in Curve Fitting Toolbox that the property of the plot could be changed, for example, log plot, loglog plot. This is useful expecially when you are fitting a log or exponential curve. Help included.


Platforms: Matlab