CVXPY

GPTKB entity

Statements (52)
Predicate Object
gptkbp:instanceOf gptkb:software
gptkbp:author gptkb:Stephen_Boyd
Steven Diamond
gptkbp:category gptkb:software
scientific computing
mathematical optimization
gptkbp:citation Diamond, S., & Boyd, S. (2016). CVXPY: A Python-Embedded Modeling Language for Convex Optimization. Journal of Machine Learning Research, 17(83), 1-5.
gptkbp:compatibleWith gptkb:Pandas
gptkb:Jupyter_Notebook
gptkb:NumPy
gptkb:SciPy
gptkbp:describes A Python-embedded modeling language for convex optimization problems.
gptkbp:documentation https://www.cvxpy.org/tutorial/index.html
gptkbp:firstReleased 2012
gptkbp:format numerical solutions
Python expressions
https://www.w3.org/2000/01/rdf-schema#label CVXPY
gptkbp:latestReleaseVersion 1.4.2
gptkbp:license gptkb:Apache_License_2.0
gptkbp:maintainedBy cvxpy developers
gptkbp:npmPackage gptkb:cvxpy
gptkbp:officialWebsite https://www.cvxpy.org/
gptkbp:platform cross-platform
gptkbp:programmingLanguage gptkb:Python
gptkbp:repository https://github.com/cvxpy/cvxpy
gptkbp:solvers gptkb:CBC
gptkb:CPLEX
gptkb:SCS
gptkb:MOSEK
gptkb:XPRESS
gptkb:GLPK
GUROBI
ECOS
OSQP
gptkbp:status active
gptkbp:supports linear programming
convex optimization
quadratic programming
semidefinite programming
second-order cone programming
gptkbp:usedBy gptkb:engineer
gptkb:researchers
students
gptkbp:usedFor gptkb:machine_learning
gptkb:signal_processing
control systems
finance
operations research
statistics
engineering design
gptkbp:bfsParent gptkb:Gurobi_Optimizer
gptkbp:bfsLayer 7