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README.md
In osqp: Quadratic Programming Solver using the 'OSQP' Library
R interface for OSQP
Provides R-bindings to OSQP: the Operator
Splitting QP Solver.
The OSQP (Operator Splitting Quadratic Program) solver is a numerical
optimization package for solving problems in the form
minimize 0.5 x' P x + q' x
subject to l <= A x <= u
where x in R^n is the optimization variable. The objective function is
defined by a positive semidefinite matrix P in S^n_+ and vector
q in R^n. The linear constraints are defined by matrix
A in R^{m x n} and vectors l in R^m U {-inf}^m,
u in R^m U {+inf}^m.
Documentation
The interface is documented here.
Try the osqp package in your browser
Any scripts or data that you put into this service are public.
osqp documentation built on Oct. 20, 2023, 5:12 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
R interface for OSQP
Provides R-bindings to OSQP: the Operator Splitting QP Solver.
The OSQP (Operator Splitting Quadratic Program) solver is a numerical optimization package for solving problems in the form
minimize 0.5 x' P x + q' x
subject to l <= A x <= u
where x in R^n is the optimization variable. The objective function is
defined by a positive semidefinite matrix P in S^n_+ and vector
q in R^n. The linear constraints are defined by matrix
A in R^{m x n} and vectors l in R^m U {-inf}^m,
u in R^m U {+inf}^m.
Documentation
The interface is documented here.
Try the osqp package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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