A package to optimize linear and quadratic problems in QuadraticModel format (see https://github.com/JuliaSmoothOptimizers/QuadraticModels.jl).

By default, RipQP iterates in the floating-point type of its input QuadraticModel, but it can also perform operations in several floating-point systems if some parameters are modified (see the documentation for more information).

In this example, we use QPSReader to read a quadratic problem (QAFIRO) from the Maros and Meszaros dataset.

using QPSReader, QuadraticModels
using RipQP
qps = readqps("QAFIRO.SIF")
qm = QuadraticModel(qps)
stats = ripqp(qm)

To use the multi precision mode (default to :mono) and change the maximum number of iterations:

stats = ripqp(qm, mode=:multi, itol = InputTol(max_iter=100))

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