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There's much more to math than numeric computation. Many applied mathematicians spend their lives programming and never use a floating point number.


I know, but that's not what I asked. The question about numeric vs. symbolic was how common it is for software applications to require symbolic mathematics vs. numerical math.


For anything with an research element, symbolic is huge. On the other hand, if you're just implementing already well-researched algorithms and methods, it's much less needed.


I'd guess if you count combinatorics as symbolic math, then most of software applications are essentially based on symbolic math.




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