RECTIFIED DEEP NEURAL NETWORKS OVERCOME THE CURSE OF DIMENSIONALITY IN THE NUMERICAL APPROXIMATION OF GRADIENT-DEPENDENT SEMILINEAR HEAT EQUATIONS

Ariel Neufeld, Tuan Anh Nguyen

Research output: Contribution to journal › Article › peer-review

Fingerprint

Dive into the research topics of 'RECTIFIED DEEP NEURAL NETWORKS OVERCOME THE CURSE OF DIMENSIONALITY IN THE NUMERICAL APPROXIMATION OF GRADIENT-DEPENDENT SEMILINEAR HEAT EQUATIONS'. Together they form a unique fingerprint.

Keyphrases

Mathematics