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Develop your own Matlab function for the Fixed-point method. Use the approximate relative error as your stopping criterion. The first line of your function should be function [root,froot,ea,iter] = fixedpoint(func,xr,es,maxit) where func is the function handle for the function to find the root of, xr is the initial guess for the starting point, es is the stopping criterion for the approximate relative error, and maxit is the maximum number of iterations; rootis the value of the root, froot is the function value at root, ea is the approximate error of that root, and iter is the number of iterations needed.
Test your code for f(x) = 0.2-log(x^0.2) = 0, using an initial guess of xr = 1 and a stopping criterion es=1.e-4. (The correct result is x=exp(1)= 2.718281828459046.)
Use the finite difference method to calculate the temperature at the point specified since it is easier.
In a shell-and-tube heat exchanger, one fluid passes through a central tube while another fluid flows through an outer shell in the opposite direction. The purpose is to heat the fluid passing through the central tube.
Write a Matlab function to perform numerical integration of a set of evenly spaced data points using the trapezoidal rule
Write a MATLAB function [speed] = planetary (N, emesh, first, last, arm) that computes the speed of a given link in a single-stage planetary gear train.
Write a program to calculate and plot the error in the numerical estimate of the derivative.
Create the graph, which contains a piecewise function where a line exists in the first interval, a parabola in the second interval, and the sine function in the third interval.
Develop a simulation program
Create a three dimensional diagram of function.
Open a named pipe and to read data from the pipe in matlab
Write the commands that will create the matrix.
Lagrange interpolating polynomial of degree
Digital Signal Processing
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