We use Newton's method to find solutions to Pell's equation
We use convex optimization to derive Markov's inequality.
We transform nonconvex optimization problems with fractional objectives into equivalent convex formulations.
Some resources to help you get started with Julia.
We use convex optimization to construct highly-customizable prior distributions in a computationally tractable way.