y=K+Mx+Nx? curve (0.25,1); (1,1.5); (2,1) find the polynomial that provides by passing through the points. Solve the resulting AX = B linear equation system by using the Gauss-Seidel iterative method by taking the initial predictive values K =n M = n N = n.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter3: Functions And Graphs
Section3.3: Lines
Problem 76E
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use as n=0.75 

y=K+Mx+Nx? curve (0.25,1); (1,1.5); (2,1) find the polynomial that provides by passing
through the points.
Solve the resulting AX = B linear equation system by using the
Gauss-Seidel iterative method by taking the initial predictive values K=n
M = n N = n.
Calculate the relative error (ɛ) using the 2nd norm of the vector. (7
iterations and 4 significant figures
is necessary).
Note: vector norm is calculated with the expression on the right. X, =V(X,)' +(X,)' +(X;)' -
Transcribed Image Text:y=K+Mx+Nx? curve (0.25,1); (1,1.5); (2,1) find the polynomial that provides by passing through the points. Solve the resulting AX = B linear equation system by using the Gauss-Seidel iterative method by taking the initial predictive values K=n M = n N = n. Calculate the relative error (ɛ) using the 2nd norm of the vector. (7 iterations and 4 significant figures is necessary). Note: vector norm is calculated with the expression on the right. X, =V(X,)' +(X,)' +(X;)' -
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