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Composable transformations of Python+NumPy programs
...But JAX also lets you just-in-time compile your own Python functions into XLA-optimized kernels using a one-function API, jit. Compilation and automatic differentiation can be composed arbitrarily, so you can express sophisticated algorithms and get maximal performance without leaving Python.
...Like this:
18-64-c*d=4
18-64-4=c*d
c*d=-50
Then the student could pick any two numbers with product of -50, like c=-25 and d=2.
Another approach would be to pick any number for c, then express d in terms of that number. For example, if the student arbitrarily chose c=13 then:
18-64-c*d=4
18-64-13*d=4
d=(4-18+64)/(-13)
Why is it quicker to express simple equations in plaintext that it is to write the equivalent LaTeX? Easylatex is a preprocessor to make writing LaTeX much quicker. Project activity mode (http://bayleshanks.com/pamv1 ): sporadic
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Let P be a 2D point expressed in a plane area defined by four 2D points A,B,C,D. The aim of our C++ class is to express the coordinates of P in order to match when A,B,C,D is rectified as a rectangle. A demo application shows the use of the C++ class.