Abstractdifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia

No single Automatic Differentiation (AD) system is the optimal choice for all
problems. This means informed selection of an AD system and combinations can be
a problem-specific variable that can greatly impact performance. In the Julia
programming languag… Read more

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JuMPing at Gcd, with Julia

Recently, I was teaching my kids how to compute gcd(Greatest Common Divisor). Instead of just teaching the mechanics of calculation, I wanted to show them some interesting properties of gcd. (more…)

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