CVXPY: A Python-Embedded Modeling Language for Convex Optimization
Steven Diamond, Stephen Boyd
TL;DR
CVXPY is a Python library that simplifies the formulation and solving of convex optimization problems by providing a natural syntax aligned with mathematical notation, integrating Python features.
Contribution
It introduces a domain-specific language embedded in Python for convex optimization, enhancing usability and integration with Python's features.
Findings
Enables natural problem expression in Python syntax
Supports integration with Python's parallelism and object-oriented features
Provides accessible tools for convex optimization in Python
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 http://www.cvxpy.org/ under the GPL license, along with documentation and examples.
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Taxonomy
TopicsAdvanced Optimization Algorithms Research · Sparse and Compressive Sensing Techniques · Advanced Multi-Objective Optimization Algorithms