status_description

Return the solver status description string

An embedded proximal interior point quadratic programming solver, which can solve dense and sparse quadratic programs, described in Schwan, Jiang, Kuhn, and Jones (2023) <doi:10.48550/arXiv.2304.00290>. Combining an infeasible interior point method with the proximal method of multipliers, the algorithm can handle ill-conditioned convex quadratic programming problems without the need for linear independence of the constraints. The solver is written in header only 'C++ 14' leveraging the 'Eigen' library for vectorized linear algebra. For small dense problems, vectorized instructions and cache locality can be exploited more efficiently. Allocation free problem updates and re-solves are also provided.

Balasubramanian Narasimhan

piqp

R Interface to Proximal Interior Point Quadratic Programming
Solver

Roland Schwan

Yuning Jiang

Daniel Kuhn

Colin N. Jones

status_description function

<dl><dt>code</dt>
<dd>a valid solver return code</dd></dl>

Arguments

Return the solver status description string — status_description

<dl>

<dt>code</dt>
<dd>a valid solver return code</dd>

</dl>

status_description: Return the solver status description string

Description

Usage

Value

Arguments

Examples