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Date: Tuesday, 21st November 2017 Syllabus: Lecture 7,8, 9, 10 Question: EEE 305 tt3 Marks: sec-2017-eee-305-TT3 result Question solution: EEE 305 tt3 ms

Practise #1 Naive Gauss elimination Practise #2 LU decomposition Practise #3 Single Segment Trapezoidal Task #1 Gauss elimination with pivoting and scaling Task #2 LU decomposition with pivoting and scaling (Chapra pg 282) Task #3 Multi segment Trapezoidal

Task #1 Write a program to use fixed point iteration to solve the equation f(x)=e^(-x) – x where inputs will be the initial guess,  and maximum error (es). If the approximation error (ea) is less than es your program should stop continuing any iterations. Task #2 Write a program to use Newton Raphson Method to

Problem #1 write a matlab script to find the root of an equation in the for ax^2+bx+c using bisection method Problem #2 write a matlab script to find the root of an equation in the for ax^2+bx+c using false position method inputs: a,b,c, no of iteration, es, initial guesses sample input a=-0.6 b=2.4 c=5.5 xu=10

Problem#1 Find the approximation of e^x using maclauren series for %Ea <n   Problem#2 Find the approximation of sine(x) using maclaurin series for %Ea <n   Problem#3 Find the approximation of cosine(x) using maclaurin series for %Ea <n

This Lab is about an introduction to matlab. The objective of this lab is to learn about Basic mathematical and logical operator in matlab Working with Matrix and vector Use of conditional ‘if’ Use of for and while loop Practice script %Basic matrix operation a=[1 2 3;4 5 6;7 8 9] b=[3 2 1;6 5

Task #1 Write a program to use fixed point iteration to solve the equation f(x)=e^(-x) – x where inputs will be the initial guess, maximum number of iterations and maximum error (es). If the approximation error (ea) is less than es your program should stop continuing any iterations. Task #2 Write a program to use