2016
JMLR
JMLR 2016
CVXPY: A Python-Embedded Modeling Language for Convex Optimization
Abstract
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 www.cvxpy.org under the GPL license, along with documentation and examples. [abs] [ pdf ][ bib ] [ code ] [ webpage ] © JMLR 2016. (edit, beta)
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Keyword Pioneer
— domain-specific language
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy
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Interdisciplinary Bridge
— Computer Science and Mathematics & Optimization
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Trend Setter
— Software Engineering