We propose a syntax for representing mathematical problems, and methods for generating large datasets that can be used to train sequence-to-sequence models. Here we'll add five randomly generated polynomials of order less than or equal to 15. A computer algebra system (CAS) or symbolic algebra system (SAS) is any mathematical. In this paper, we show that they can be surprisingly good at more elaborated tasks in mathematics, such as symbolic integration and solving differential equations.
This works just as well at any polynomial order. It aims to be an alternative to systems such as Mathematica or Maple while. One of the simplest examples of things one can do in Mathematica is generate and combine make a few of these polynomials and add them:
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As is explained more fully in the Mathematica Programming section, the language Mathematica is built around is almost 100% symbolic, which makes it perfect for algebraic manipulations. Solve linear and nonlinear differential equations.
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