As per HOMEWORKLIB POLICY, only one question can be answered. However, I am answering first two for completeness.
In Ax = b,
x vector represents the unknowns. The values of x will be found using vector b and matrix A. Hence, False.
If any element in A is zero, the system of equations can still be solved in matlab provided one complete row or column of A is not zero.
The c vector in a linear system Ac brepresents the system's forcing functions, inputs, or knowns....
The root of an unknown function f (x) is to be found via bisection. The initial lower guess is 21 = 2 and the initial high guess is 24 8. The algorithm stops when the absolute value of the difference between the lower and upper guesses is less than 0.1. How many total iterations will be made? Assume f (x1) and f (In) have opposite signs.
The root of an unknown function f (2) is to be found via bisection. The initial lower guess is 2 and the initial high guess is du = 8. The algorithm stops when the absolute value of the difference between the lower and upper guesses is less than 0.1. How many total iterations will be made? Assume f (21) and f (qu) have opposite signs.
The Bisection and False-position Method can be used to solve linear systems of equations Ax = b True False fzero() will converge to the root for any initial guess. True False The number of iterations required to find the root via the Bisection and False-position methods increases as the tolerance value decreases. True False