97 lines
4.0 KiB
Plaintext
97 lines
4.0 KiB
Plaintext
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\begin{thebibliography}{}
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\newblock {\em Discrete \& Continuous Dynamical Systems - B}, 26(9):4927.
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\bibitem[Beck et~al., 2021b]{BHJ21}
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\newblock On nonlinear {Feynman}{\textendash}{Kac} formulas for viscosity
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\newblock {\em Second Order Partial Differential Equations in Hilbert Spaces}.
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\newblock London Mathematical Society Lecture Note Series. Cambridge University
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\newblock A proof that artificial neural networks overcome the curse of
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dimensionality in the numerical approximation of {Black}-{Scholes} partial
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differential equations.
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\newblock Existence of strong solutions for {It\^o}'s stochastic equations via
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approximations.
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\newblock {\em Probability Theory and Related Fields}, 105:143--158.
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\newblock Overcoming the curse of dimensionality in the numerical approximation
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of semilinear parabolic partial differential equations.
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\newblock Strong {$L^p$}-error analysis of nonlinear {Monte} {Carlo}
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approximations for high-dimensional semilinear partial differential
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equations.
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\newblock Technical Report arXiv:2110.08297, arXiv.
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\newblock arXiv:2110.08297 [cs, math] type: article.
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\newblock Overcoming the curse of dimensionality in the approximative pricing
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of financial derivatives with default risks.
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\newblock page 73 p.
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\newblock Artwork Size: 73 p. Medium: application/pdf Publisher: ETH Zurich.
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\newblock Differential equations determining {Markov} processes (original in
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\newblock {\em Zenkoku Shijo Sugaku Danwakai}, 244(1077):1352--1400.
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\newblock On a stochastic integral equation.
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\newblock {\em Proc. Imperial Acad. Tokyo}, 244(1077):1352--1400.
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\newblock Moment {Inequalities} for {Sums} of {Dependent} {Random} {Variables}
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under {Projective} {Conditions}.
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\newblock {\em J Theor Probab}, 22(1):146--163.
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\end{thebibliography}
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