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You will write a function
QR = my_gs_qr(A,type);
The function my_gs_qr should take as inputs an m × n real matrix A, with m ≥ n, a number type, whith type equal to 1 or 0, and a number precision, where precision is an integer between 0 and 9, inclusive. The function should return an m × n matrix Q, and the upper triangular n × n matrix R, computed with simulated ?oating point arithmetic with precision base ten bits (and matlabs internal full precision arithmetic if precision= 0). If type is 1, the code should use modi?ed Gram-Schmidt, and if type is 0, the code should use classical Gram-Schmidt. All arithmetic operations used in all the computations should be implemented using simulated precision.
Use the finite difference method to calculate the temperature at the point specified since it is easier.
Make a program that will graph the parabolas each parabola a different color and put all the parabolas in the same figure or graph
Prepare a filter that removes noise produced by electronic medical equipment.
An Efficient Human Identification Using Gait Analysis, Apply specific approach for Pattern Recognition,Implement this approach in MATLAB,Compare and discuss the results with others.
The function range basis takes a matrix A as input, and outputs a basis (again written as columns) for the range space of A.
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.
Write the commands that will create the matrix.
Write a Matlab function to perform numerical integration of a set of evenly spaced data points using the trapezoidal rule
Create a three dimensional diagram of function.
Develop a simulation program
Write a program to calculate and plot the error in the numerical estimate of the derivative.
For homework consider the points (0,0), (1,2), (2,3), (3,9), ( 4,17), (5,24), (6,37). (1) Use Matlab to find the least squares best fit with a line. Turn in A, y and c and a plot like the one above. Also (2) use Matlab to find the least square best..
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