Introduction to Scientific Computing A Matrix-Vector Approach Using MATLA.pdf

2022-12-24 2.87MB

对MATLAB深度学习


节选段落一:
Scientific computing on advanced machines requires that one be able to think at the vector
level. Matlab encourages this and, as the title of this book indicates, we have every intention of
fostering this style of algorithmic thinking.


节选段落二:
Here is a scalar approach:
n = 200;
x = linspace(0,1,n);
y = zeros(1,n);
for k=1:n
y(k) = ((1 + x(k)/24)/(1 - x(k)/12 + (x(k)/384)*x(k)))^8;
end
plot(x,y)
However, by using vector operations that are available in Matlab, it is possible to replace the loop with a
single, vector-level command:
14 CHAPTER


节选段落三:
against a vector is the same thing as plotting each of the matrix columns against
the vector.

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