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Re:Notes on Discrete Mathematics (2017) [pdf] by noelwelsh on Monday June 25, 2018 @09:30AM (#17392235)
Doing numerical computation is definitely something that comes up in CS, as well as in applied maths. For example, deep learning is all about basic calculus, and algorithms to do this. Many discrete problems can be posed as a continuous problem, which is usually called a relaxation, and more easily (approximately) solved in the continuous domain.
Re:Notes on Discrete Mathematics (2017) [pdf] by fjsolwmv on Monday June 25, 2018 @11:12AM (#17393014)
You only need reals for exact solutions. Once you are approximating with smooth functions, you can approximate with rationals/decimal paramters on polynomials.
Re:Notes on Discrete Mathematics (2017) [pdf] by semigroupoid on Monday June 25, 2018 @11:58AM (#17393402)
How do you work with smooth functions without using reals?