📄 demogaslag.m
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function demoGasLag
% demoGasLag Interpolate gasoline price data with Lagrange polynomials
%
% Synopsis: demoGasLag
%
% Input: none
%
% Output: Plot of given data and interpolating function for gas price
year = [1986 1988 1990 1992 1994 1996 ]'; % input data
price = [133.5 132.2 138.7 141.5 137.6 144.2]';
y = linspace(min(year),max(year),200); % eval interpolant at these dates
p = zeros(size(y)); % Pre-allocate p for efficiency
for i=1:length(y)
p(i) = lagrint(year,price,y(i)); % Interpolate to find p( y(i) )
end
plot(year,price,'o',y,p,'-');
xlabel('year'); ylabel('gasoline price, (cents)');
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