NEWS.md
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.