Initializing help system before first use

# problem.calcSolInfo

Purpose
Calculates the required property of a solution, like maximum infeasibility of a given primal and dual solution.
Topic areas
Solution, Optimizer
Synopsis
`value = problem.calcSolInfo(property, solution=None, duals=None)`
Arguments

property: int | Defined the property to be calculated.
xpress.SolInfo.ABSPRIMALINFEAS | the calculated maximum absolute primal infeasibility is returned.
xpress.SolInfo.RELPRIMALINFEAS | the calculated maximum relative primal infeasibility is returned.
xpress.SolInfo.ABSDUALINFEAS | the calculated maximum absolute dual infeasibility is returned.
xpress.SolInfo.RELDUALINFEAS | the calculated maximum relative dual infeasibility is returned.
xpress.SolInfo.MAXMIPFRACTIONAL | the calculated maximum absolute MIP fractionality or SOS infeasibility.
xpress.SolInfo.ABSMIPINFEAS | the calculated maximum absolute MIP infeasibility (including delayed rows, indicators, general and piecewise linear constraints) is returned.
xpress.SolInfo.RELMIPINFEAS | the calculated maximum relative MIP infeasibility (including delayed rows, indicators, general and piecewise linear constraints) is returned.
solution: list[float] | Double array of length ORIGINALCOLS that holds the solution. May be None when asking for dual infeasibility.
duals: list[float] | Double array of length ORIGINALROWS that holds the dual solution. May be None when asking for primal/MIP infeasibility.

Return value

value: float | The calculated value.

Further information
1. This function applies to linear and convex quadratic (including second order conic) problems only.
2. The calculations are always carried out in the original problem, even if the problem is currently presolved.
Related topics
problem.calcSlacks, problem.calcObjective, problem.calcReducedCosts.
Parent Topic Xpress problem object methods

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