Kgb Methods

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...

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...

Two methods are provided -1) an automatic updation method which can be effectively used outside of a loop since it writes out a newton-raphson computation file from the parameters received.2) a manual file generation method; effective when the resulting file has to be called repeatedly in a loop.


Platforms: Matlab

There are several methods to solve the transmission line fault problem. In this example i showed how to solve the transmission lines in simulink . . .The problem is taken from the Hadi Sadat power system. Page no 482 Ex-11.3keep Enjoying


Platforms: Matlab

A differential equation can be solved by several methods. I have presented the simulink method to solve the differential equ. The que is showed in the screenshot.Queries and Comments are dearly invited.


Platforms: Matlab

There are three methods (1, 2 & 3 [Back-propagation]) for forecasting a time series. Here is a collection of MATLAB programming, screen shorts, Fig files giving results. Follow comments in the files to run programs


Platforms: Matlab

Written for courses in numerical methods, this text introduces the use of MATLAB in numerical analysis.


Platforms: Matlab

This book is written for computational scientists who would like to incorporate state-of-the-art computational methods for solving large sparse systems of linear equations.For a full book description and ordering information, please visithttp://www.mathworks.com/support/books/boo...=-1&language=-1


Platforms: Matlab

Value-at-Risk calculation for portfolio stocks using variance-covariance, historical and MonteCarlo methods. Portfolio can be larger as you want including either the risk factor (stock index, currency, etc.)


Platforms: Matlab

A phone-like DTMF tool with GUI using several methods, FFT,goertzel and filter banks.Just run the gui.


Platforms: Matlab

We calculate the number of photon with two methods. We dertermine the differnce of luminance for two (or many ) wavelength.We can find the error with the temperature and the wavelength for different acquisition time and many geometry.


Platforms: Matlab

Numerical analysis functions that employ the Bisection, Fixed-point, Newton-Raphson, and Muller's methods. Each returns a root for a given function, and optionally a iteration table.*** Symbolic Toolbox is NOT REQUIRED ***


Platforms: Matlab

The solution of the nearest correlation matrix applies the hypershpere or spectral decomposition methods as outlined in Monte Carlo methods in Finance by Peter Jackel, Chapter 6.Use CorrelationExample.m that applies a simple example for the two cases.


Platforms: Matlab

Using,bwmorph(a,'thin', inf);bwmorph(a,'thin', skel);we draw two methods to make skeletons, and plotted the points of connection and end points.


Platforms: Matlab

It is aimed to perform comparison analysis of numerical solution search ..% methods of 2nd order ODE. Heun's Method, Euler's method, Runge-Kutta% (MATLAB built-in solver-ODE45) and analytical solution of the given ODE.% Given an ODE: D2y+2Dy+y=exp(-t); ICs: y(0)=1; Dy(0)=2.


Platforms: Matlab

The central thrust of the book is to demonstrate the power of interweaving analytics with computing methods during problem solving.For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1602.jsp.


Platforms: Matlab

Creation of a system by integrating multiple validated subcomponents is a task common to SimulinkdlT« and C. In both environments integration issues arise as the number of components increases. Problems include miss-matched data types, scaling and ensuring the correct signals are available, to...


Platforms: Matlab

These are the slides of a plenary talk given at the 2006 SIAM Annual Meeting, on July 11, 2006.The talk describes how x=Ab works in MATLAB, when A is sparse.You can view the video at http://www.cise.ufl.edu/research/sparse/SIAM06. Follow along with these slides as you view the video. The slides...


Platforms: Matlab

This m-file produces random numbers from the negative Binomial distribution using one of four methods and it tests which is faster.


Platforms: Matlab

There are four ensemble strategies--- random selecting samples, Bagging strategy, Random subspace method, Rotation forest method. They are ensemble methods which can obtain the samples of individual learner. Bagging method is a classical ensemble strategy proposed by Leo Breiman in Ref...


Platforms: Matlab