MATLAB interpolation Linear interpolation can be defined by the following formula: y* =yo + (x* — xo)- Consider the data set Y₁ - Yo x1 - x0 x = linspace( 0, pi, 11 ); y = exp( x ); Yo (x₁ - x*) +y₁ (x* — xo) x1 - x0 Using any means available to you, estimate the value ystar at xstar = 0.55 using linear interpolation. Include four decimal places of precision (the output using format short, or 0.####). xmin= number (rtol=0.05, atol=1e-08)
MATLAB interpolation Linear interpolation can be defined by the following formula: y* =yo + (x* — xo)- Consider the data set Y₁ - Yo x1 - x0 x = linspace( 0, pi, 11 ); y = exp( x ); Yo (x₁ - x*) +y₁ (x* — xo) x1 - x0 Using any means available to you, estimate the value ystar at xstar = 0.55 using linear interpolation. Include four decimal places of precision (the output using format short, or 0.####). xmin= number (rtol=0.05, atol=1e-08)
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Transcribed Image Text:MATLAB interpolation
Linear interpolation can be defined by the following formula:
y* = Yo + (x* — xo)
Consider the data set
X = linspace(0, pi, 11 );
y = exp( x );
Y1
X1
Yo
XO
Yo (x₁ - x*) + Y₁(x* — xo)
x1 - x0
Using any means available to you, estimate the value ystar at xstar = 0.55 using linear interpolation.
Include four decimal places of precision (the output using format short, or 0.####).
xmin= number (rtol=0.05, atol-1e-08)
?
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