Approximation

This code computes the approximation of the convolution integral (*) between two functions, f(t) and g(t), sampled at the times t1,t2,...,tm (unit spacing), via the trapezoidal quadrature rule. To compute the integral with other than unit spacing, multiply the result by the spacing...

Here we have an unknown function but we can have every value of function respect to every input. so there I used a fuzzy approximation method Ito approximate the function, here I used sin function to compare answers.there is a function "isinrange" to find membership values.

XML::DB::DatabaseManager is an approximation to the XML:DB DatabaseManager. SYNOPSIS use XML::DB::DatabaseManager; my $driver = Xindice; my $url = http://localhost:4080; eval{ $dbm = new XML::DB::DatabaseManager(); $dbm->registerDatabase($driver); $col =...


Platforms: *nix

Source code for fast training of multilayer perceptron for approximation. Example training and validation data files included. Source code for applying the trained network. Resulting networks can be pruned by NuMap7.06. The training algorithm can be modified to be substantially better than BP. A...


Platforms: Windows

MetaboCalc uses the Harris-Benedict equation to give you an approximation of how many calories you burn per day and at rest. It shows the base number, and also plus and minus 5% and 20% due to errors inherent in that equation.Basically, this calculator is intended to show your RMR (Resting...


Platforms: CGI and Perl

Includes:-error calculation for DAC's finite bandwidth & slew-rate-remedy to the error-dynamic performance-simulation with real binary resistive DAC-description file


Platforms: Matlab

Compute a Quality Level Acceptance and compares with it's Normal approximation. Requires that user introduces the UCL, LCL


Platforms: Matlab

DIAS stands for 'Disability Impairment Approximation Simulator' and is a Netbeans IDE plugin. It approximately simulates the difficulties someone with vision and other impairments face when interacting with Java Swing GUIs.


Platforms: Windows, Mac, Linux

CronPlus provides an approximation at each interval. It does not claim, nor even attempt, to be accurate enough for precise applications such as month-end financial processing or real-time control. Instead, it is meant for duties such as routine log cleanup, updating data from external sources,...


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

CronPlus provides an approximation at each interval. It does not claim, nor even attempt, to be accurate enough for precise applications such as month-end financial processing or real-time control. Instead, it is meant for duties such as routine log cleanup, updating data from external sources,...


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

CronPlus provides an approximation at each interval. It does not claim, nor even attempt, to be accurate enough for precise applications such as month-end financial processing or real-time control. Instead, it is meant for duties such as routine log cleanup, updating data from external sources,...


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

This program calculates BER curve against SNR for QPSK Modulation in Gaussian Environment.It calculates 100 errors for for each SNR value before calculating BER. This gives a good approximation of BER.I hope this will help students alot.Please feel free to contact me should anyone has any queries.


Platforms: Matlab

Script that plots streamlines around a circle and around the correspondig Joukowski airfoil. It's obviously calculated as a potential flow and show an approximation to the Kutta-Joukowski Lift.


Platforms: Matlab

In the present program three methods are used to solve a heat conduction problem. This problem is given in M. N. doOCozisik, Heat Conduction, Wiley, New York, 1980. We use pdepe, short times solution based on analytical inversion of a Laplace transform and finally a numerical solution based on...


Platforms: Matlab

The inversion of Laplace transforms is performed using two methods: (1) the Zakian method and (2) the Fourier series approximation. Results are in agreement with analytical solutions. The Zakian method presents problems for transcendental functions. The Fourier series gives better results when...


Platforms: Matlab

This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others (see references for more...


Platforms: Matlab

(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...


Platforms: Matlab

This code implements the basic back propagation of error learning algorithm. the network has tanh hidden neurons and a linear output neuron, and applied for predicting y=sin(2pix1)*sin(2pix2).We didn't use any feature of neural network toolbox.


Platforms: Matlab

GODLIKE (Global Optimum Determination by Linking and Interchanging Kindred Evaluators) is a generization of various population-based global optimization schemes. Also, it handles both single- and multi-objective optimization, simply by adding additional objective functions.GODLIKE solves...


Platforms: Matlab

A simple one-dimensional finite-difference time-domain (FDTD) electromagnetic routine that allows the user to specify arbitrary permittivity, permeability and conductivity profiles. Useful for helping students to visualize reflection, transmission, wave velocity and impedance concepts. Will also...


Platforms: Matlab