CVXPY: A Python-Embedded Modeling Language for Convex Optimization. 论文
2016PubMed引用 682
Stochastic Gradient Optimization TechniquesAdvanced Optimization Algorithms ResearchAdvanced Multi-Objective Optimization Algorithms
详细信息
- 发表期刊/会议
- PubMed
- 发表日期
- 2016-04-01
- 发表年份
- 2016
关键词
Stochastic Gradient Optimization TechniquesAdvanced Optimization Algorithms ResearchAdvanced Multi-Objective Optimization Algorithms
摘要
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.