Quantitative Finance, Mathematics, Convex Optimization, Machine Learning, Python.
researchers have published papers on the following: Examples of such DSLs include: CVX (Grant and Boyd, 2014), YALMIP (Lofberg, 2004), QCML (Chu et al., 2013), PICOS (Sagnol, 2015) Some benefits provided by DSLs for convex optimization include: - Expressing problems mathematically in a natural