

Re: MTH603 Assignment 2 Solution and Discussion
Assignment NO. 2 MTH603 (Fall 2020)
Maximum Marks: 20
Due Date: February 15, 2021DON’T MISS THESE: Important instructions before attempting the solution of this assignment:
• To solve this assignment, you should have good command over 23  35 lectures.
Try to get the concepts, consolidate your concepts and ideas from these questions which you learn in the 2335lectures.
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Try to make solution by yourself and protect your work from other students, otherwise you and the student who send same solution file as you will be given zero mark.
Also remember that you are supposed to submit your assignment in Word format any other like scan images etc. will not be accepted and we will give zero mark corresponding to these assignments.Question 1:
Obtain the value of using Simpson’s 1/3 rule correct to 3 decimal places.
MARKS 10
Question 2:Using Newton’s divided difference formula, find the quadratic equation for the following data:
X 1 2 5
Y 8 14 44Hence find y(3). MARKS 10



Re: MTH603 Assignment 1 Solution and Discussion
Question #1: Find the root of the equation x^3+x^2+x1 =0 correct to two decimal places by using bisection method.
Question #2: Solve the system of linear equations with the help of Gaussian elimination method.
2x + y + z = 9;3x −2y + 4z = 9;x +y2z = 3Solution File

Question 1:
Convert the decimal number 80 into its binary equivalent.
Question 2:
Convert the binary number 2 (11001100) to its decimal equivalent.
Question 3:
Find the relative error when 17 is considered upto four decimal places.
Question 4:
Find the interval in which atleast one root of the equation 3 2 xx x 2 10 lies.
Question 5:
Find the real root of the equation 4 x x 10 0 in the interval [1, 2] by bisection method upto
two iterations. 
MTH603_Final_Term_(GIGA_FILE_by_Ishfaq_V11.02.02).pdf
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Assignment NO. 2 MTH603 (Spring 2020)
Maximum Marks: 20 Due Date: August 13, 2020
DON’T MISS THESE: Important instructions before attempting the solution of this assignment:
• To solve this assignment, you should have good command over 23  30 lectures.
Try to get the concepts, consolidate your concepts and ideas from these questions which you learn in the 2330 lectures.
• Upload assignments properly through LMS, No Assignment will be accepted through email.
• Write your ID on the top of your solution file.
Don’t use colourful back grounds in your solution files.
Use Math Type or Equation Editor Etc. for mathematical symbols.
You should remember that if we found the solution files of some students are same then we will reward zero marks to all those students.
Try to make solution by yourself and protect your work from other students, otherwise you and the student who send same solution file as you will be given zero mark.
Also remember that you are supposed to submit your assignment in Word format any other like scan images etc. will not be accepted and we will give zero mark corresponding to these assignments.Question :
Using difference operator formulas (Δ and ∇) and the values given in the table below,
x 0.3 0.5 0.7 0.9 1.1 1.3
y 3.9118 3.8234 3.6773 3.4807 3.2408 2.9648estimate the value of
y^' (0.3) Marks 10 y''(1.3) Marks 10 
Grand Quiz Total Questions : 30
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Re: MTH603 Assignment 1 Solution and Discussion
Question 1: Find the root of on equation f(x) =2coshx sinx1 taking initial value x0 = 0.4, using Newton Raphson Method. Convert Up to four decimal places.
Question 2: Evaluate √167 by Newton Raphson Method correct up to 4 decimal places.

Assignment NO. 1 MTH603 (Fall 2019)
Maximum Marks: 20 Due Date: 24 112019
DON’T MISS THESE: Important instructions before attempting the solution of this assignment:
• To solve this assignment, you should have good command over 01  12 lectures.
• Try to get the concepts, consolidate your concepts and ideas from these questions which you learn in the 01 to 12 lectures.
• Upload assignments properly through LMS, No Assignment will be accepted through email.
• Write your ID on the top of your solution file.
• Don’t use colourful back grounds in your solution files.
• Use Math Type or Equation Editor Etc. for mathematical symbols.
• You should remember that if we found the solution files of some students are same then we will reward zero marks to all those students.
• Try to make solution by yourself and protect your work from other students, otherwise you and the student who send same solution file as you will be given zero mark.
• Also remember that you are supposed to submit your assignment in Word format any other like scan images etc. will not be accepted and we will give zero mark corresponding to these assignments.Question #1: Find the root of the equation, Perform three iteration of the equation,
ln (x −1) + sinx = 0 by using Newton Raphson method.
Question #2: Solve the system of linear equations with the help of Gaussian elimination method.
x + y + z = 6; 2x − y + z = 3; x + z = 4
MTH603 Quiz 3 Solution and Discussion

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Given that dydt=t+y√ with the initial condition y0=1att0=0 find the 3rd term in Taylor series when t=1, y/ =0.2, y// =2, and h=0.1.


The Power method can be used only to find the eigenvalue of A that is largest in absolute value—we call this eigenvalue the dominant eigenvalue of A.
True
FalseAs presented here, the method can be used only to find the eigenvalue of A that is largest in absolute value—this eigenvalue is called the dominant … The eigenvectors corresponding to are called dominant eigenvectors of A. 1 i. 2, . . . , n.

Central difference method seems to be giving a better approximation, however it requires more computations.
True
FalseNumerical method. In numerical analysis, a numerical method is a mathematical tool designed to solve numerical problems. The implementation of a numerical method with an appropriate convergence check in a programming language is called a numerical algorithm.

If x is an eigen value corresponding to eigen value of V of a matrix A. If a is any constant, then x – a is an eigen value corresponding to eigen vector V is an of the matrix A  a I.
True
FalseIf an eigenvalue l of A is known, the corresponding eigenvector(s) may be obtained by … l of a matrix A is the maximum number of linearly independent eigen vectors x of A … If v1, v2, …, vn are the eigenvectors associated with the respective … the eigenvalues of A and then if some of them are multiple, to check if there exist …

If n x n matrices A and B are similar, then they have the different eigenvalues (with the same multiplicities).
True
FalseIf A and B are positive definite, is A + B positive definite? We don’t know … to A. If two matrices have the same n distinct eigenvalues, they’ll be similar to the same diagonal

For differences methods we require the set of values.
True
FalseMethod of Differences. The method of finite differences gives us a way to calculate a polynomial using its values at several consecutive points. This is often a good approach to finding the general term in a pattern, if we suspect that it follows a polynomial form.

The characteristics polynomial of a 3x 3 identity matrix is __________, if x is the eigen values of the given 3 x 3 identity matrix. where symbol ^ shows power.
 (x1)^3
 (x+1)^3
 x^31
 x^3+1

The Jacobi’s method is a method of solving a matrix equation on a matrix that has no zeros along its main diagonal.
True
FalseJacobi Method.
The Jacobi method is a method of solving a matrix equation on a matrix that has no zeros along its main diagonal (Bronshtein and Semendyayev 1997, p. … Each diagonal element is solved for, and an approximate value plugged in. The process is then iterated until it converges. 
The Power method can be used only to find the eigenvalue of A that is largest in absolute value—we call this eigenvalue the dominant eigenvalue of A
True
FalseFor large values of n, polynomial equations like this one are difficult and timeconsuming to solve. Moreover, numerical techniques for approximating roots of polynomial equations of high degree are sensitive to rounding errors. In this section we look at an alternative method for approximating eigenvalues. As presented here, the method can be used only to find the eigenvalue of A that is largest in absolute value—we call this eigenvalue the dominant eigenvalue of A. Although this restriction may seem severe, dominant eigenval ues are of primary interest in many physical applications.

Eigenvalues of a symmetric matrix are all _________.
 real
 zero
 positive
 negative
In linear algebra, a symmetric matrix is a square matrix that is equal to its transpose. Formally, … geometry, for each tangent space to a manifold may be endowed with an inner product, giving rise to what is called a Riemannian manifold. … Every real symmetric matrix is Hermitian, and therefore all its eigenvalues are real.

The determinant of a _______ matrix is the product of the diagonal elements.
 diagonal
 upper triangular
 lower triangular
 scalar
By linearity then, the determinant of AB is the product of the diagonal elements of A times the determinant of B, that is, it is the product of the determinant of A and that of B, as we have claimed. and we will have det A = det A’ , and det AB = det A’B.

The GaussSeidel method is applicable to strictly diagonally dominant or symmetric positive definite matrices A.
True
FalseExplanation: GaussSeidel method is applicable to strictly diagonally dominant or symmetric positive definite matrices because only in this case convergence is possible. 7. Gauss seidal requires less number of iterations than Jacobi’s method. … Gaussseidal is used for solving system of linear equations.

The Jacobi’s method is a method of solving a matrix equation on a matrix that has ____ zeros along its main diagonal.
Unity
Zero 
If n x n matrices A and B are similar, then they have the different eigenvalues (with the same multiplicities).
True
False
A proof of the fact that similar matrices have the same eigenvalues and their … Show that if A and B are similar matrices, then they have the same eigenvalues and their … Eigenvalues and their Algebraic Multiplicities of a Matrix with a Variable … Suppose that all the eigenvalues of A are distinct and the matrices A and B …