# dY_t = -f(t, Y_t, Z_t) dt + Z_t dW_t , Y_T = g(X_T) # using a neural network to approximate the terminal value Y_0 and the driver Z_t.
I'm not judging; this pretty much describes my personal learning path (and that of those around me when I learned programming and CFD).</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>I have come ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results