We investigate the use of machine learning for solving analytic problems in theoretical physics. In particular. symbolic regression (SR) is making rapid progress in recent years as a tool to fit data using functions whose overall form is not known in advance. Assuming that we have a mathematical problem that is posed analytically. https://www.whatexercisebike.com/product-category/strap-ons/
Using machine learning to find exact analytic solutions to analytically posed physics problems
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