Find the root of the function by using one of the open methods or bracket methods with relati errors e, smaller than the maximum relative error ea 0.001% (using matlab)

In Matlab practice matrix operations with for loops. Create a random matrix 10*10 in size, e.g. A=rand(10); Then use two for loops (nested for loops) to "survey" each element in each column and row and do the following operations: (a) Add all the elements together; (b) When the element is smaller than 0.5, set it to zeros; When the element is larger or equal to 0.5, set it to ones.

Use python or Matlab

Using the three-variable Karnaugh-map below Solve for its corresponding function expression Replot the function from part (1) on a different three-variable Karnaugh-map (Hint: try a different combination of variables)

USING PYTHON NOT MATLAB We can use the sum of the first n terms of the Taylor series of e x with a = 0 to estimate the value of the exponential function. Using a logarithmic y axis, plot the fractional error in the estimated e x (compared to numpy.exp(x)) as a function of n (n ranging between 1 and 80) for (a) x = 15 and (b) x = −15. [You can plot the two cases either as different curves on the same plot or in different plots, whichever is clearer.] Discuss the contributions of truncation and roundoff to the fractional error for the different values of x and n. Also discuss how you could reduce truncation and roundoff errors in order to estimate e x more accurately using the Taylor series.

CAN YOU PROVIDE ME THE OUTPUT FOR THIS. (MATLAB) function [x,numIter,omega] = MidtermExam(func,x,maxIter,epsilon) % Solves Ax = b by Gauss-Seidel method with relaxation. % USAGE: [x,numIter,omega] = gaussSeidel(func,x,maxIter,epsilon) % INPUT: % func = handle of function that returns improved x using % the iterative formulas in Eq. (2.35). % x = starting solution vector % maxIter = allowable number of iterations (default is 500) % epsilon = error tolerance (default is 1.0e-9) % OUTPUT: % x = solution vector % numIter = number of iterations carried out % omega = computed relaxation factor if nargin < 4; epsilon = 1.0e-9; end if nargin < 3; maxIter = 500; end k = 10; p = 1; omega = 1; for numIter = 1:maxIter xOld = x; x = feval(func,x,omega); dx = sqrt(dot(x - xOld,x - xOld)); if dx < epsilon; return; end if numIter == k; dx1 = dx; end if numIter == k + p omega = 2/(1 + sqrt(1 - (dx/dx1)^(1/p))); end end error('Too many iterations')

Compute the coefficients of the Least Squares Approximation for the following data set with the given basis functions: (0, 1.24), (1, 2.54), (2, 1.15), (3, -0.76), (4, -1.5)

Please do it using matlab

What is the Burrows-Wheeler transform of the string "abbaba$"?

Write a MATLAB function that calculates the approximate value of six(x) using the Maclaurin series approximation from x-0 to xi+1 six(x) = x -+-+. 3 5 The function should accept 3 parameters: value of x, number of significant figures accuracy i.e. n, and the maximum number of iterations. In the function, use ɛ = (0.5 ×ばつ 102-" )% in order to continue until the ɛa falls below this criteria. The function should return 3 values: the approximate value of arctan(x) at the end of the program, final ɛg and the number of iterations it took. Submit short snapshots showing the program running.

MATLAB BUILT CODE REQUEST FOR 4 QUESTION.

Numerical Methods Question: Let f (x) = cos x and x0 = 0. Determine (a) the second Taylor polynomial for f about x0; and (b) the third Taylor polynomial for f about x0. solve it by using Matlab code without using Taylor function