MATLAB: Lagrange Interpolating Polynomials using Matlab

how to find the minimize of cost function using lagrange interpolating in matlabMATLABmatlab coder

Hello.,

Anybody here can help me to solve my I/O curve fitting using lagrange method. Here is below I attached several direction that I nedd to find. I also attached the script that I've do it before and my example curve fitting in PPT. Thank you

Best Regards,

Rizaldy

Best Answer

You must use a fitting tool, not an interpolation tool to solve your problem.

Apply "polyfit" with x-values = Generation Output [MW] and y-values = Fuel Cost [NT$/kWh] and n = 3.

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MATLAB: Lagrange Multipliers

here is a nudge to solving your problem

syms x y L
d = ???                   % for you to fill out; distance from (-1,0)
g = d+L*(x^2+2*x-y)       % constraint for given parabola
% additional operations here

show some effort, and some additional help may be forthcoming

MATLAB: Lagrange interpolation, .m

pointx and pointy are two vectors of data values, x is a vector of points where you want to interpolate. For example:

x = 0:10;
y = x.^2;
xx = linspace(0,10);
yy = lagrange(xx,x,y);
plot(x,y,'o',xx,yy,'.')

As an aside, with no offense intended to Calzino, there are other options available for interpolation. Firstly, of course, interp1 is a standard MATLAB function, with options for linear, cubic spline, and PCHIP interpolation. Cleve Moler (aka The Guy Who Wrote MATLAB) also has a Lagrange interpolation function available for download.

Best Answer

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MATLAB: Lagrange Multipliers

MATLAB: Lagrange interpolation, .m

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