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Instructions: Submit your solution in pdf format. Strictly one problem per page. 1. Solve for y3 using the method of successive approximation. dy = x + y; y(1) = 1 dx 2. Find f(2.6) by interpolating the following table of values. Using Lagrange interpolation. i xi yi 1 2.7183 2 2 7.3891 20.0855 3. Using multiple linear regression, estimate the values of a, b and c in the given regression model. MODEL: y = ax'ecx 2 3 4 y 3.6 5.2 6.8 8.8 1. 3.

Instructions: Submit your solution in pdf format. Strictly one problem per page. 1. Solve for y3 using the method of successive approximation. dy = x + y; y(1) = 1 dx 2. Find f(2.6) by interpolating the following table of values. Using Lagrange interpolation. i xi yi 1 2.7183 2 2 7.3891 20.0855 3. Using multiple linear regression, estimate the values of a, b and c in the given regression model. MODEL: y = ax'ecx 2 3 4 y 3.6 5.2 6.8 8.8 1. 3.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Instructions: Submit your solution in pdf format. Strictly one problem per page. 1. Solve for y3 using the method of successive approximation. dy = x + y; y(1) = 1 dx 2. Find f(2.6) by interpolating the following table of values. Using Lagrange interpolation. i xi yi 1 1 2.7183 2 2 7.3891 20.0855 3. Using multiple linear regression, estimate the values of a, b and c in the given regression model. MODEL: y = ax'ecx 3 4 y 3.6 5.2 6.8 8.8 3.
Transcribed Image Text:Instructions: Submit your solution in pdf format. Strictly one problem per page. 1. Solve for y3 using the method of successive approximation. dy = x + y; y(1) = 1 dx 2. Find f(2.6) by interpolating the following table of values. Using Lagrange interpolation. i xi yi 1 1 2.7183 2 2 7.3891 20.0855 3. Using multiple linear regression, estimate the values of a, b and c in the given regression model. MODEL: y = ax'ecx 3 4 y 3.6 5.2 6.8 8.8 3.
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