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solve() function.solve() function reference.CONTRIBUTING file.blm parameter in problem() is not
rounded.NodefileStart is incorporated
internally in the gurobi solver. Set in 0.5.solve() function.inputData() function reference.sensitivity input are called delta1,
delta2, delta3, delta4 respectively.solve() function allows CPLEX solver.inputData() description about d
parameter.solve() function exports solution scores.inputData()
function.problem() function. Now it works with recovery
objectives and data non-filtered, i.e. with non-threatened
features.problem function as inputData()
function for intuitiveness.problem() function to create different mathematical
models instead of minimizeCosts and
maximizeBenefits.getPerformance() function incorporate information
of previous four functions (removed): getGap,
getStatus, getTimeSolving and
getObjectiveValue.getModelInfo() function incorporate information of
previous three functions (removed): getModelSense(),
getNconstraints and getNvariables.getCost() function to get information about the
solution costs. The getActionsCost,
getPlanningUnitsCosts and getTotalCosts
functions are deprecated.getConnectivity() function to get information about
the solution connectivity. The
getPlanningUnitsConnectivity,
getActionsConnectivity and
getTotalConnectivity are deprecated.getSolutionBenefit() function to get information
about the solution benefits. The getBenefits and
getTotalBenefits functions are deprecated.getPotentialBenefit() function to get maximum
benefits to achieve given a data.threat input with information on different threats
within the exercise.sensitivity input added. These parameters allow work with
different sensitivities curves of threats-features. In addition to the
possibility to work with non-binary threat intensities.sensitivity is an optional input.maximizeBenefits() model function.min_costs model function as
minimizeCosts() model function for consistency.portfolio-class objects to handle multiple
solutions.evalBlm() function to create and solve multiple
models with different blm parameters.evalTarget() function to create and solve multiple
models with different target parameters.evalBudget() function to create and solve multiple
models with different budget parameters.solution-class are available as
functions for the solution-class and
porfolio-class.solve();
name_output_file is the name of the main output that is
exported only if the output_file parameter is TRUE, and
name_log is the name of the solver log (only using gurobi
solver) that is exported only if the log_file parameter is
TRUE.getSolutionActions() and
getSolutionUnits() functions of the solution
object. Now these round the values assigned to each variable to the
integer nearest.benefit() function of the solution
object. Now the calculation considers the amount of features and threats
other than 1 and 0.OptimizationProblemRcpp.cpp file. Now the models
considers the amount of features and threats other than 1 and 0.createtxt() function did not close
the export file correctly.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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