Open AccessUnderstanding machine learning approaches for partial differential equations
Author(s) -
Gabriel Gress
Publication year - 2020
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - Uncategorized
Resource type - Reports
DOI - 10.2172/1669073
Subject(s) - partial differential equation , discretization , python (programming language) , computer science , artificial neural network , convergence (economics) , partial derivative , bar (unit) , mathematics , ordinary differential equation , artificial intelligence , algorithm , differential equation , computational science , mathematical analysis , physics , programming language , meteorology , economics , economic growth
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