=E2=88=8F is a symbol used in Lagrange Interpolating polynomial which designates
pi
=E2=80=9Cthe inverse of=E2=80=9D
=E2=80=9Ca product of=E2=80=9DCorrect
=E2=80=9Cthe sum of=E2=80=9D
A column vector is denoted by a boldface lowercase letter and expressed as
1 x n matrix
n x 1 matrixCorrect
no correct answer
m x n matrix
A continuous function's integral is approximated using either the trapezoidal or Simpson's rule by translating the function into discrete form
TrueCorrect
False
A cubic polynomial can interpolate three points
True
FalseCorrect
A diagonal matrix could be an identity matrix if the diagonals have a value of
any non-zero
1Correct
no correct answer
0
A Hermitian matrix (or self-adjoint matrix) is a complex square matrix that is equal to its own conjugate transpose and can be decomposed using Cholesky’s method.
TrueCorrect
False
A mathematical model that will compute the following limit as will readily give _____________ answer.
0
infinite
indeterminateCorrect
finite
A matrix decomposition method that has an upper triangular matrix and an orthogonal matrix is referred to as the QR
TrueCorrect
False
A matrix is symmetric/ Hermitian positive definite matrix if
No correct answer
the resulting triangular factors are equal to each other
the resulting triangular factors are the negative value of each other
the resulting triangular factors are the transpose of each otherCorrect
A matrix which is denoted by a boldface lowercase letter and expressed as 1 x n matrix is
no correct answer
column vectorCorrect
row vector
not a matrix
A root finding method also known as the Tangent method is
Newton's methodCorrect
Open method
Secant Method
Bisection method
A root finding method which requires the function to be differentiable
Newton-Raphson iterationCorrect
Bisection
False position
Secant Method
A row vector is denoted by a boldface lowercase letter and expressed as a
1 x n matrixCorrect
m x n matrix
n x 1 matrix
no correct answer
A square matrix is said to be diagonally dominant if for every row of the matrix, the magnitude of the diagonal entry in a row is less than or equal to the sum of the magnitudes of all the other (non-diagonal) entries in that row.
TrueCorrect
False
Algorithms should have explicitly defined set of inputs and outputs
TrueCorrect
False
Also called trapezoidal rule It approximates the area under a curve by atrapezoidwith horizontal base and sloped top (connecting the endpointsx1andx2)
2-point closed Newton-Cotes formulaCorrect
Newton-Raphson
Gauss-Seidel
Gauss-Jordan
Among the many applications of matrices are used in statistics, economics, physics, and engineering.
TrueCorrect
False
An additional benefit of the power method is that the corresponding eigenvector is obtained as a by-product of the method.
TrueCorrect
False
An algorithm design technique is a general approach to solving problems algorithmically that is applicable to a variety of problems from different areas of computing
TrueCorrect
False
An integral expressed as the difference between the values of the integral at specified upper and lower limits of the independent variable
indefinite integral
improper integral
proper integral
definite integralCorrect
Another condition that must be satisfied is that the diagonal elements are all nonzero for the Gauss-Seidel method to be used:
TrueCorrect
False
Another method called midpoint rule is an open type method numerical integration
TrueCorrect
False
Approximating calculations which involve infinite value, most often used in series notations and in calculus doesn't introduce errors.
True
FalseCorrect
Best-case is the maximum number of steps taken on any instance of size of a variable
True
FalseCorrect
By applying the power method to the matrix inverse of [A], the power method will ________on the largest value of 1/λ in other words, the smallest value of λ
no correct answer
diverge
convergeCorrect
fail
Cholesky’s Method is based on the fact that a symmetric matrix can be decomposed into triangular factors are the transpose of each other.
TrueCorrect
False
Choosing an initial guess which gives near f(x) = 0 is considered a good guess
TrueCorrect
False
Compute for the determinant of the 2 x 2 matrix defined as
D = 125
D = 0875Correct
No correct answer
D = - 0675
Creating a mathematical model that will compute the following limit as will produce a result of
0
1Correct
indeterminate
infinite
Direct method for finding the eigenvalues is recommended since the calculation of zeros of a polynomial is numerically challenging if not unstable.
TrueCorrect
False
Each component of the new iterates in Gauss-Seidel method depends upon all previously computed components, the updates cannot be done simultaneously.
TrueCorrect
False
Eigenvalues are used in the analysis of linear transformation such as scaling.
TrueCorrect
False
Find the missing value to satisfy that y = 1/24x +2y +2z = 8x + 4y - 2z = ?3x +y - z = 4
4
05
3
2Correct
First order differences is equivalent f[x0,x1] when i = 0
TrueCorrect
False
For is the iteration may terminate if the difference between f (x) is already zero.
TrueCorrect
False
For a two segment trapezoidal rule, it will use the points similar to the ones used by Simpson's 1/3 rule
TrueCorrect
False
For an interval of 0 to 1, a subinterval with a size of 02 will give n = 5 described as 5 segment Trapezoidal rule
TrueCorrect
False
For both the Trapezoidal and Simpson's 1/3 rule , using more strips will give better approximation of the curve
TrueCorrect
False
For practical reasons, the absolute error is usually more meaningful than the relative error.
True
FalseCorrect
For the function , its first derivative is f’(x) is
TrueCorrect
False
For the function f(x) =its first derivative is f’(x) is The first derivative of the function is f’(x) =
TrueCorrect
False
For the function f(x) = ex-2 the next approximated value of the root when x0 = -1 and x1 = 1 is x2 = 0.98626.
TrueCorrect
False
For the function f(x) = ex-2 the value of f(x2) when x0 = -1 and x1 = 1 is f(x) = -0.5248
TrueCorrect
False
For the given systems of linear equations, with initial values x1 =0; x2 =0; x3 = 0. The next iterative value of x1 using Gauss-Seidel Method is 1.3333.
TrueCorrect
False
For the given systems of linear equations, with initial values x1 =0; x2 =0; x3 = 0. The next iterative value of x2 using Gauss-Seidel Method is 1.5.
TrueCorrect
False
For the given systems of linear equations, with initial values x1 =0; x2 =0; x3 = 0. The next iterative value of x3 using Gauss-Seidel Method is 0.5278.
TrueCorrect
False
From the two data points (1,4) and (3, 7), and (4,10) using Lagrange polynomial method, the polynomial is Li(x) = 05x2-05x +2
True
FalseCorrect
From the two data points(2,5) and (6, 11), using Lagrange polynomial method, the polynomial is Li(x) = 15x +2
TrueCorrect
False
Gauss-Jordan method consists of guessing a value and then using a systematic method to obtain a refined estimate of the root.
TrueCorrect
False
Gaussian elimination has no specific row operations Various ways can be employed but may come up with the same answer
TrueCorrect
False
Given a matrix A , its QR -decomposition is an upper triangular matrix and an orthogonal matrix. An orthogonal matrix is a matrix whose transpose is equivalent to its inverse.
TrueCorrect
False
Given the function f(x) = 075 + 11x, an exact value can be given instantly by Trapezoidal rule
TrueCorrect
False
Horner’s method which is a method for finding roots of a polynomial equation f(x) =0 is almost similar to Newton’s method.
TrueCorrect
False
How much error would be observed for the integral of f(x) = sin2x + 5 for an interval of [0,1] if n = 1 or if n = 2?
approximately 05
approximately 1
greater than 1
almost negligibleCorrect
If A is a 3 x 3 matrix and B is a 3x2 matrix , the statement “ A – B is not possible” is
TrueCorrect
False
If a matrix has its entire diagonal elements are positive, then the real parts of its eigenvalues are negative.
TrueCorrect
False
If A−1 (if it exists) the eigenvalues of A−1 is 1/5, 1/4 and 1/2 if matrix A has eigenvalues 5, 4 and 2
TrueCorrect
False
If A−1 (if it exists) the eigenvalues of A−1 is 1/5, ¼ and ½ if matrix A has eigenvalues 5, 4 and 2.
TrueCorrect
False
If matrix A gives the largest eigenvalue, it suggests that if A -1 exists, the smallest eigenvalue can be obtained through inverse power method.
TrueCorrect
False
If matrix A is invertible such that A−1 = L−TL−1 then matrix A can be decomposed using Cholesky’s method.
TrueCorrect
False
If matrix is A is positive definite then a11 > 0.
TrueCorrect
False
If QT is the transpose of Q then QT Q = I or the identity matrix.
TrueCorrect
False
If the determinant of the matrix is zero, it is impossible to check the solutions of the variables using
Gaussian Elimination method
Neither "Cramer's Rule" nor "Gaussian Elimination method" is correct
Cramer's RuleCorrect
Both "Cramer's Rule" and "Gaussian Elimination method" are correct
If the eigenvalues are repeated roots λ1 = λ2 = λ3, then the characteristic polynomial is of
2nd degree polynomial
3rd degree polynomialCorrect
is an n-1 polynomial
no correct answer
If the function, f(x) = cos3x was approximated by the polynomial, P(15) = -02, the amount of error approximately 005
TrueCorrect
False
If the interval of the function is given as 0 to pi, for n = 6 segments, each node or segments will be
TrueCorrect
False
If the magnitude of the diagonals is greater than the sum of the non-diagonals in the same row, then the matrix is not diagonally dominant.
TrueCorrect
False
If the main determinant is zero the system of linear equations is
Both "inconsistent" and "has infinite many solutions" are correctCorrect
Has infinite many solutions
Inconsistent
Neither "inconsistent" nor "has infinite many solutions" is correct
If the number of segments, n= 20 Compute for the stepsize, h if the interval is from 0 to 1
h = 05
h = 005Correct
h = 020
h = 002
If the tridiagonal coefficient matrix is diagonally dominant, then procedure Tri
no correct answer
will diverge
will encounter zero divisorsCorrect
will not encounter zero divisors
If there is a randomized algorithm that solves a decision problem in time t and outputs the correct answer with probability 05, then there is a randomized algorithm for the problem that runs in time =CE=98(t) and outputs the correct answer with probability at least 099
True
FalseCorrect
If x2 is the approximated root in Secant method, it follows that; the value of f(x2) must be equal to 0.
TrueCorrect
False
If you need to evaluate a definite integral involving a function whose anti derivative cannot be found, it is easier to resort to this approximation technique
Direct Method
Cholesky's Method
Power Method
Trapezoidal methodCorrect
In creating a computer algorithm one important factor that should be considered is that the user would be prompted the values that are needed in solving.
TrueCorrect
False
In differentiation using numerical methods, one of the steps is interpolating the function by a polynomial p at suitable points