In employing Gauss-Seidel method, the most recent values should be used to substitute with the formula of finding x1, x2 and x3, respectively.
TrueCorrect
False
In floating point addition, where the exponent of the smaller number must match that of the larger number making 3.141516 x 101 and 2.125 x 102 expressed in 3 digit precision as 0.314 x 102 and 2.13 x 102
TrueCorrect
False
In general, an n × n matrix will have a characteristic polynomial of degree of n+ 1, and its roots are the eigenvalues of A.
n+1 degree
n x n degree
n-1 degree
n degreeCorrect
In general, an n =C3=97 n matrix will have a characteristic polynomial of degree of n+ 1, and its roots are the eigenvalues of A
True
FalseCorrect
In giving initial values of x0 and x1, both of them should preferably be close to the solution.
TrueCorrect
False
In mathematical modeling, a physical system is translated into mathematical expressions in order to be implemented in computers.
TrueCorrect
False
In matrix multiplication if the number of columns of the 1st matrix is equal to the number of rows of the 2nd one,
matrix multiplication may proceedCorrect
matrix multiplication cannot be performed
swap matrices before proceeding
No correct answer
In matrix multiplication, a matrix of n x k by k x m size the resulting matrix would have a dimension of
k x k
n x k
m x k
n x mCorrect
In most cases, __________ is suitable to linear behaving functions and that polynomial interpolation is suitable to non-linear behaving function
direct methods
iterative methods
linear interpolationCorrect
non-linear interpolation
In Newton-Cotes integration methods, the nodes are uniformly distributed in [a, b] with x0 = a, xn = band the spacing h = (b - a) / n
TrueCorrect
False
In numerical differentiation, using a very small step size may increase the approximation error
TrueCorrect
False
In numerical integration, when both the end points of the interval of integration are used as nodes in the methods, the methods are called closed type methods
TrueCorrect
False
In performing Gauss-Jordan method, although there is no specific procedure to perform this, it is more convenient to
No correct answer
Eliminate the right hand side of the equation one by one
Eliminate all elements below and above at onceCorrect
Eliminate the diagonals one at a time
In root finding algorithms, the requirement of initial values
may have one or two initial valuesCorrect
no correct answer
should have two initial values
should have one initial value
In solving systems of linear equations using Gaussian elimination method, if the coefficient of the first variable in the first linear equation is zero and the rest are non-zero:
It is not an issue in Gaussian elimination method just like the Cramer's rule
Gaussian elimination is not possible
Swap the linear equations first to proceedCorrect
No correct answer
In the analysis of algorithm, this is maximum number of steps taken on any instance of size a
amortized
average-case
best-case
worst-caseCorrect
In the analysis of algorithm, this is minimum number of steps taken on any instance of size a
average-case
worst-case
amortized
best-caseCorrect
In the analysis of algorithm, this is the number of steps taken on any instance of size a
average-caseCorrect
worst-case
best-case
amortized
In the analysis of algorithm, this refers to the number of steps to be taken in an algorithm
Time complexityCorrect
Step complexity
Process Complexity
Space complexity
In the analysis of algorithm, this refers to the volume of memory
Time complexity
Step complexity
Process Complexity
Space complexityCorrect
In the case of the tridiagonal system strict diagonal dominance means simply that (with a0 = an = 0)
TrueCorrect
False
In the factorization A = LU the matrix L is lower triangular and the matrix U is upper triangular, it is called Crout factorization when
Diagond is dominant
L is unit lower triangularCorrect
No answer correct
U is unit upper triangular
In the factorization A = LU the matrix L is lower triangular and the matrix U is upper triangular, it is called Doolittle factorization when
No correct answer
U is unit upper triangularCorrect
L is unit lower triangular
Diagonal is dominant
In using Gauss-Jordan method if a matrix has at least one zero row with non-zero right hand side, the solution
No correct answer
Doesn't existCorrect
Is Zero
Is infinite
In using Gaussian elimination method, the system of linear equations is transformed into upper triangular form where the values in the upper part of the diagonal are 0s
True
FalseCorrect
In using smaller integration interval for multiple segments, Trapezoidal method can reduce the approximation error better than Simpson's 1/3 rule
True
FalseCorrect
In what method can all of the eigenvalues of a matrix are found simultaneously?
Inverse power method
Direct method
QR methodCorrect
Power method
Interpreting the results graphically is one advantages of using software systems in numerical methods.
TrueCorrect
False
Inverse of a matrix is possible for
Any matrix
No correct answer
Square matrixCorrect
Banded matrix
It is a feature which is essential to a system design especially when dealing with changes in computation
accuracy
adaptabilityCorrect
simplicity
robustness
It is a process for estimating values that lie between known data points
Interconnection
Approximation
InterpolationCorrect
Convolution
It is an extension of the Trapezoidal rule This time, it uses three points that would touch the curve of the original function
RK4
Heun's method
Ralston's formula
Simpson's 1/3 ruleCorrect
It is an iterative approach that can be employed to determine the largest or dominant eigenvalue It has the additional benefit that the corresponding eigenvector is obtained as a by-product of the method
Inverse power method
Direct method
QR method
Power methodCorrect
It is determined using the expression f(x) = 0
rootCorrect
integral
no correct answer
derivative
It is impossible to find the complex roots of a polynomial function, using Newton’s Method” is:
TrueCorrect
False
It is possible to approximate a function by using values outside the data points which is known as the linear interpolation
True
FalseCorrect
It is the approximate computation of integral usingnumericaltechniques
indefinite integral
numerical integrationCorrect
definite integral
numerical differentiation
It iterative technique for solving a square system of n linear equations with unknown x, where Ax=b
Gauss Seidel methodCorrect
Cramer's rule
Gaussian Elimination method
No correct answer
Just like the Gaussian elimination method, the Gauss-Jordan method involves forward and backward substitution
TrueCorrect
False
Just like the Newton-Raphson method, the initial guesses affect the convergence of the Secant method.
TrueCorrect
False
LU decomposition can be viewed as the matrix form of Gaussian elimination
TrueCorrect
False
Matrix has repeated eigenvalues
TrueCorrect
False
Matrix multiplication may proceed if the number of columns of the 1st matrix is equal to the number of rows of the 2nd one.
TrueCorrect
False
Methods that uses a single initial value or two initial values that do not necessarily brackets the root where Newton’s method is categorized are called
Open methodCorrect
Non-bracketing method
Closed method
Iterative method
Newton's Method is ideal to function which isDifferentiable also known as a "smooth" functionTranscendental or that which cannot be expressed in finite number of termsContaining multiple roots
Both of "Differentiable also known as a =E2=80=9Csmooth=E2=80=9D function" and "Containing multiple roots" are correct
"Differentiable also known as a =E2=80=9Csmooth=E2=80=9D function" is correct
Both of "Differentiable also known as a =E2=80=9Csmooth=E2=80=9D function" and "Transcendental or that which cannot be expressed in finite number of terms" are correctCorrect
All of the answers correct
Newton’s method also known as the Newton-Raphson iteration is that, suppose at point xi of the function, there is a tangent at that point. This point is assumed to be:
the derivative of the function
the lower limit of the interval
the root of the functionCorrect
the upper limit of the interval
Newton’s method and secant method has almost the same concept and are both fast.
TrueCorrect
False
Newton’s method is based on a truncated version of the Taylor series keeping only the first order terms.
TrueCorrect
False
Newton’s Method is ideal to function which is Differentiable also known as a “smooth” function Transcendental or that which cannot be expressed in finite number of terms. Containing multiple roots
All of the answers correctCorrect
"Differentiable also known as a “smooth” function" is correct
Both of "Differentiable also known as a “smooth” function" and "Transcendental or that which cannot be expressed in finite number of terms" are correct
Both of "Differentiable also known as a “smooth” function" and "Containing multiple roots" are correct
Newton’s method is powerful in giving multiple roots of any differentiable function.
TrueCorrect
False
Numerical integrations such as Trapezoidal and Simpson's 1/3 rule should have intervals that are uniform
TrueCorrect
False
Numerical methods give more accurate results than analytic methods.
True
FalseCorrect
One of the advantages of Newton’s method is that its converges fast even if the initial guess was poorly chosen
TrueCorrect
False
One of the advantages of secant method over the Newton’s Method is the use of derivatives.
TrueCorrect
False
One of the advantages of using mathematical modeling is the ability to predict an output given a certain input.
TrueCorrect
False
One of the disadvantages of this method is that it can jump to a value away from the rooth if the slope is small
Bisection
False position
Secant MethodCorrect
Newton-Raphson iteration
Only four points are needed in constructing a fourth order Newton Divided Difference polynomial,
True
FalseCorrect
Perform floating point addition of 3.1 x 10 -1 and 12.25 x 10 1. If only 3 significant figures are allowed for mantissa, determine the percent accuracy of the result.
9972 %Correct
9901 %
9988 %
8972 %
Positive definite matrix can be efficiently solved using Cholesky decomposition.
TrueCorrect
False
Power method is an iterative approach that can be employed to determine the largest or dominant eigenvalue
TrueCorrect
False
Rate of growth of errors are needed to be identified, especially when dealing with iterative methods as this might affect the solution in general.
TrueCorrect
False
Rearranging rows are prohibited when evaluating the matrix if it is diagonally dominant.
TrueCorrect
False
Reducing the equidistant points improves the approximation of the function, f(x) by the polynomial, P
True
FalseCorrect
Roots of transcendental functions are easily approximated using Newton's method provided that f'(x) =E2=89=A0 0
TrueCorrect
False
Roots of transcendental functions are easily approximated using Newton’s method provided that f’(x) ≠ 0.
TrueCorrect
False
Secant method is categorized as bracketing method because it uses two points of the secant as initial values.
TrueCorrect
False
Secant method is nearly as fast as the Newton-Raphson method and ensures convergence rather than the latter.
TrueCorrect
False
Secant method is usually the best option if the function doesn’t have an exact formula but just a pair of x and y values.
TrueCorrect
False
Secant method replaces the tangent in Newton’s method to the slope of the function using two initial guesses.
TrueCorrect
False
Sequential algorithm is an algorithm which can be executed a piece at a time on many different processing devices, and then combined together again at the end to get the correct result
True
FalseCorrect
Simpson's 1/3 rule is an example of an open type numerical integration method
True
FalseCorrect
Simpson's 1/3 rule is an extension of the Trapezoidal rule This time, it uses _______ that would touch the curve of the original function
two points
two to three points
three pointsCorrect
four points
Simpson's 1/3 rule uses a second degree polynomial formed by the two points of the original function
True
FalseCorrect
Simpson's rule is a numerical method that approximates the value of a definite integral by using third degree polynomials
True
FalseCorrect
Since Cramer's rule employ determinants, a system of linear equations with 3 unknowns even with 3 equations cannot be used if the constants are non-zero