Gauss Jordan Method

this will find the solution of U''=k*U*U' by using taylor series 3rd order and secant methodit gives an idea about the nonlinear ode method and also gives the idea of solving problem in matlab

This code evaluates the root of transcendental equation with the help of Newton Raphson method with enhanced features like vanishing of differential of a function, Infinite cycling for root due to a poor initial approximation or when a root exists but differential does not.Use of symbolic Toolbox...

The conjugate gradient method aims to solve a system of linear equations, Ax=b, where A is symmetric, without calculation of the inverse of A. It only requires a very small amount of membory, hence is particularly suitable for large scale systems.It is faster than other approach such as Gaussian...


Platforms: Matlab

A problem from Dynamics of Structures - Anil K. Chopra is picked and code written to solve the problem.The problem is to get the dynamic response of a structure using Newmark's method. System is a linear system.


Platforms: Matlab

Semi variance method and scaled windowed variance method for fractal time series analysis.Referernce: Evaluating scaled windowed variance methods for estimating the Hurst coefficient of time series Physica A: Statistical and Theoretical PhysicsVolume 241, Issues 3-4, 15 July 1997, Pages 606-626


Platforms: Matlab

Computes the Gauss hypergeometric function 2F1(a,b;c;z) and its derivative for real z, z


Platforms: Matlab

The Triangle method is due to Zack (Zack GW, Rogers WE, Latt SA (1977), "Automatic measurement of sister chromatid exchange frequency", J. Histochem. Cytochem. 25 (7): 741d-deOCt53. A line is constructed between the maximum of the histogram at b on the gray level axis and the lowest (or highest...


Platforms: Matlab

The MATLAB file contains a method to find the value of pi. This is just an extension of the general method of finding pi from within a circle. It uses 3D-matrices and some more stuffs, which can be very helpful for educational purposes. Also, do change the values in the file, to see for yourself,...


Platforms: Matlab

In this Matlab application was perused Jean Le Rand D'Alambert's** Reduction Method for two degree of linear differential equations and several analytical examples are compared with matlab solution applications.**Jean d'Alembert was a a French mathematician who was a pioneer in the study of...


Platforms: Matlab

This code uses conjugate gradient method to solve the linear systemAx= b, where A is symmetric and banded. A is first stored in acompactstorage mode, using the function "compactstorage", and thenconjugate gradient method is applied to the compactly stored matrix.Input: A, initial guess x, vector...


Platforms: Matlab

We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of:- linear regression model- nonlinear regression model- fitting data in 3D space- identification of...


Platforms: Matlab

Power System Load Flow Analysis using Gauss Siedel for infinite number of iterationsIf you are downloading this file to submit an assignment or doing your homework than "Best of Worst Luck".


Platforms: Matlab

Fitting a t-copula using the method of moments described in Quantitative Risk Management by McNeil, Frey and Embrechts. The outputs from this function correspond to those of the statistics toolbox's copulafit('t',u) . For large datasets, tcopulafit is immeasurably faster than copulafit('t',u)....


Platforms: Matlab

This simple code shows how the Monte Carlo Chronological method works. This example is intended to be for educational purpose, generating an artificial history data vectors of a single component modeled in a two state Markov chain model and exponentially distributed. You just need to enter the...


Platforms: Matlab

Newton's method for solving a system of nonlinear equations, see http://en.wikipedia.org/wiki/Newton's_methodNewton(X,F,X0) solves nonlinear system F(x)=0 by Newton's method, using the given initial approximation X0. The derivative (Jacobian) is evaluated symbolically. The iterations are...


Platforms: Matlab

COMPOSITE trapezoid Method for numerical calculations & analysis exercises in Numeric Integration. f function is given in terms of a symbolic variable x and as an inline function. E.g., f=inline('x^2+2*x-2'). Also, if the function f is trigenometric function, the 4th argument can be entered as...


Platforms: Matlab

COMPOSITE SIMPSON's method for numerical calculations and analysis exercises of Numeric Integration. f function is given in terms of a symbolic variable x and as aninline function. E.g., inline('x^2+2*x-2'). Also, if the function f is trigonometric function, the 4th argument can be entered...


Platforms: Matlab

COMPOSITE midpoint rule method. Some numerical calculations and analysis exercises of Numeric Integration for comparison analysis. f function is given in terms of a symbolic variable x and expressed as an inline function. E.g., f=inline('x^2+2*x-2'). Also, if the function f is trigonometric...


Platforms: Matlab

This code implements the 1D polynomial regression method. It uses the least square method for the finding of regression polynomial coefficents. Outputs of the script are polynomial regression coefficients, residuals, the sum of squared errors, the determination index and the graphical comparison...


Platforms: Matlab

Given assembeled mass, stiffness matrices and damping matrices, external load vector of n degree's of freedom, response of the system to the external load is calculated using Wilson tita step-by-step integration method. Time step, tita value can be changed accordingly to the problem.


Platforms: Matlab