We discuss two Newton-like methods for solving the systems which arise from nonlinear partial differential equations and nonlinear networks. Under appropriate conditions both methods provide global ...
This is a preview. Log in through your library . Abstract A parameter estimation algorithm is developed that can be used to estimate unknown time- or state-dependent delays and other parameters (e.g., ...
This paper presents a novel and direct approach to solving boundary- and final-value problems, corresponding to barrier options, using forward pathwise deep learning and forward–backward stochastic ...
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