When I was in grad school, numerical math essentially meant large-scale linear algebra and problems which were reducible to linear algebra (primarily PDEs.) When I started working in biostatistics, I was surprised how little use I had for linear algebra beyond basic operations on small matrices. What I did have a need for was random number generation, optimization, and numerical integration.
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