arXiv (Cornell University) · 2016 · 475 citations · 7 references
Mathematical ProgrammingLarge-scale Global OptimizationEngineeringMachine LearningContinuous OptimizationConvex Optimization ProblemsConvex OptimizationComputer EngineeringGpl LicenseLarge Scale OptimizationParallel ProgrammingComputer ScienceLinear ProgrammingParallel ComputingPython-embedded Modeling Language
CVXPY is a domain-specific language for convex optimization embedded in Python. It allows the user to express convex optimization problems in a natural syntax that follows the math, rather than in the restrictive standard form required by solvers. CVXPY makes it easy to combine convex optimization with high-level features of Python such as parallelism and object-oriented design. CVXPY is available at http://www.cvxpy.org/ under the GPL license, along with documentation and examples.
7
YALMIP : a toolbox for modeling and optimization in MATLAB
Johan Löfberg · 2005 · 9.1K citations
Mathematical Programming, Engineering, Matlab Toolbox Yalmip +17
Madeleine Udell, Karanveer Mohan, David Zeng et al. · 2014 · 146 citations
Mathematical Programming, Numerical Analysis, Conic Optimization +10