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... Platforms: Matlab

pi/4 = 1 - 1/3 + 1/5 - 1/7 + 1/9 ...The program performs this computation and prints the approximation after every iteration, so you can see the decimal places converging one by one.There are three programs, each more efficient and accurate. The final program uses an averaging method to find a... Platforms: Matlab

This function allows one to calculate the Fourier transform of a chirped function evaluated at specific points using the stationary phase approximation.Imagine a pulse with a large time-bandwidth produce: this would require a large amount of data points in order to evaluate the Fourier transform.... Platforms: Matlab

Here is the code for the pricing of an american call option with one dividend. This is the Roll, Geske,Whaley approximation of an AMerican call with one dividend. This code makes use of Bivariate normal distribution and normal distribution. More pricing options would be followed soon. Platforms: Matlab

This is an approximation of the Voigt function within the Humlicek regions 3 and 4. The approximation is one given by S.M. Abrarov et. al. "High-accurace approximation of the complex probability function byFourier expansion of exponential multiplier" (2010).x = sqrt(ln(2))*(nu - nu0)/alphaDy =... Platforms: Matlab

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. Platforms: Matlab

For a given real-valued function of one real variable on an interval, the code calculates the best approximation in the uniform (max) norm by a polynomial of a given degree. Approximating in a uniform norm is much computationally harder compared to the standard least squares fit, but gives eye... Platforms: Matlab

Program FFTSIGMA plots Fourier series representations with sigma approximation. The figures show effects of the number of series terms and use of Lanczos sigma factors to smooth Gibbs oscillations. The Fourier series of a periodic function with period px has the approximate form: f(x) = sum(... Platforms: Matlab

This is an approximation of the Voigt function within the Humlicek regions 3 and 4. The approximation is one given by S.M. Abrarov et. al. "High-accurace approximation of the complex probability function byFourier expansion of exponential multiplier" (2010).x = sqrt(ln(2))*(nu - nu0)/alphaDy =... Platforms: Matlab

This computes an approximation of American Put option value and can plot it against asset's priceEfficient Analytical Approximation of American Option Values G. BARONE-ADESI and R. E. WHALEY 1987.This code computes the Put option approximation derived in the above paper. A critical share price... Platforms: Matlab

This function shows an approximation of the Julia set boundary for the functions of the form P(z) = z^2 + C. The inverse iteration is a method for calculating previous values of z by doing z = sqrt(z-c). By doing this, points along the boundary are obtained. Since the sqrt will give two possible... Platforms: Matlab

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

Functions NELSONFUN and NELSONFIT evaluate and fit (with non-linear least-squares) the Nelson-Siegel function, a popular yield-curve approximation device. Platforms: Matlab

Interpolates a tridimensional function and calculates a parabolic approximation to first and second derivatives at the interpolation points. Platforms: Matlab

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

Constructs discrete least-squares rational approximations to data using the full-Newton algorithm for solving separable non-linear least-squares problems that was developed in:Carlos F. Borges, A Full-Newton Approach to Separable Nonlinear Least Squares Problems and its Application to Discrete... Platforms: Matlab

%%%%%%%%%%%%%%%%%% EULER_modified_ODE.m %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Euler modified approximation method to solve IVP ODEs% f defines the function f(t,y)% t0 defines initial value of t% y0 defines initial value of y Platforms: Matlab