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deep_backward_stochastic_differential_equation_method.py

# 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.
GitHub

realabbas/list-of-algorithms

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