CVXPY: A Python-Embedded Modeling Language for Convex Optimization. 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
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References in zbMATH (referenced in 4 articles , 1 standard article )
Showing results 1 to 4 of 4.
- Diamond, Steven; Boyd, Stephen: CVXPY: a python-embedded modeling language for convex optimization (2016)
- O’Donoghue, Brendan; Chu, Eric; Parikh, Neal; Boyd, Stephen: Conic optimization via operator splitting and homogeneous self-dual embedding (2016)
- Vujanic, Robin; Goulart, Paul; Morari, Manfred: Robust optimization of schedules affected by uncertain events (2016)
- Xinyue Shen, Steven Diamond, Yuantao Gu, Stephen Boyd: Disciplined Convex-Concave Programming (2016) arXiv