Add NLP elements to the specified column for the given model.
Add sets to a given model.
Load stage aggregation scheme for the SP model.
Calculate the feasibility of a MIP solution.
Free up work arrays associated with a given model's variable name hashing.
Delete a set of constraints in the given model.
Add a new independent stochastic parameter with a parametric distribution to the SP model.
Retrieve the stage indices of constraints.
Free up the arrays associated with the GOP solution of a given model.
Delete NLP elements from the objective function for the given model.
Examine the nonzero structure of the constraint matrix and tries to identify block structures in the model.
Add instruction lists into a model structure.
Delete LINDO API environment object.
Find an irreducibly inconsistent set (IIS) of constraints for an infeasible model.
Generate next batch of random numbers into random number buffer.
Return the dual solution values for a given model.
Retrieves the maximum allowable decrease and increase in the
right-hand side values of constraints for which the optimal
basis remains unchanged.
Add a new discrete stochastic block to the SP model.
Get information about the basis that was found after optimizing the given model.
Find an irreducibly unbounded set (IUS) of columns for an unbounded linear program.
Free up stochastic memory.
Delete the complete string data, including the string vector and values.
Optimize a quadratic model with the best suitable solver.
Delete the string values data.
Add a new scenario block to the SP model.
Create a new instance of LINDO API random generator object (multithread thread).
Retrieves a integer precision parameter for a specified model.
Return model or solution integer information about the current state of
the LINDO API solver after model optimization is completed.
Return the primal solution for the specified node.
Get the current slack values for a MIP model.
Delete the specified random generator object.
Get data on a specified constraint.
Create a new instance of LINDO API model object.
Add variables to a given model.
Free up solver work arrays associated with a given model.
Deduce constraints and variables stage info.
Create a new instance of LINDO API environment object.
Retrieve data for cone i.
Delete the sets in the given model.
Add a new discrete independent stochastic parameter to the SP model.
Provides the line number and text of the line in which an error occurred while reading or writing a file.
rLSgetDiscreteBlockOutcomes
Get the outcomes for the specified block-event at specified block-realization index.
Retrieves a double precision parameter for a specified environment.
Retrieve the name of a constraint, given its index number.
Delete a set of variables in the given model.
Free up Stoch Hashtable memory used in the model for fast name lookup.
Delete the quadratic terms from a set of constraints in the given model.
rLSgetEnvStocParameterInt
Get a stochastic parameter value of type integer from the given env.
rLSgetModelStocParameterInt
Get a stochastic parameter value of type integer from the given model.
Add a new chance-constraint to the SP model.
Retrieves the maximum allowable decrease and increase in the
primal variables for which the optimal basis remains unchanged.
Retrieve the indices of the nodes that belong to a given scenario.
Get the next standard uniform random variate in the stream.
Get information about the basis that was found at the node that yielded the optimal MIP solution.
Get the specified parameter's short description.
Retrieve the irreducibly inconsistent set (IIS) of constraints for an infeasible model.
rLSgetEnvStocParameterChar
Get a stochastic parameter value of type characters from the given env.
Get the current dual solution for a MIP model.
Delete LINDO API model object.
Retrieve the name of a cone, given its index.
Add cones to a given model.
Return the dual solution for the specified node.
rLSgetModelStocParameterDou
Get a stochastic parameter value of type double from the given model.
Free up the arrays associated with the MIP solution of a given model.
Create a new instance of LINDO API random generator object.
Construct the explicit dual from a primal problem.
Copy model parameters to another model.
rLSgetModelStocParameterChar
Get a stochastic parameter value of type characters from the given model.
Get the next double random variate of underlying distribution.
Retrieve the block structure information.
Get the stochastic data for the (independent) discrete
stochastic parameter at the specified event index.
Get the next integer random variate in the stream.
Finds the best implied variable bounds for the specified model by
improving the original bounds using extensive preprocessing and probing.
Retrieve the irreducibly unbounded set (IUS) of columns for an unbounded linear model.
Retrieve the formulation data for a specified variable.
Retrieve the formulation data for a given linear
or mixed integer linear programming model.
Get data about the nonlinear structure of a specific column of the model.
Get the correlation structure between variables.
Get the seed initiated this random generator.
Get the name of a cone with a specified index.
Return the property of the specified constraint of the given model.
Return the reduced cost of all variables for a given model.
Retrieves the index of the row where a numeric error has occurred.
Retrieves a double precision parameter for a specified model.
rLSgetProbabilityByScenario
Return the probability of a given scenario.
Get integer information about the current state of the stochastic model.
Retrieve the values of the initial MIP primal solution.
Generate the next best (in terms of objective value)
solution for the current mixed integer model.
rLSgetEnvStocParameterDou
Get a stochastic parameter value of type double from the given env.
Get data about the nonlinear structure of a model.
Retrieve a string value for a specified string index.
Return the primal slacks for the specified scenario.
Retrieve sets data from a model data structure.
Return the reduced cost for the specified node.
Get the stochastic data for the discrete block event at specified index.
Get stage aggregation scheme for the SP model.
Retrieve the number of nodes to be sampled in all stages.
Round the given MIP solution to nearest int solution.
Retrieve the range of a parameter of type integer.
Load quadratic program data into a model structure.
Get double information about the current state of the stochastic model.
Get the outcomes for the specified specified scenario.
Get data about the nonlinear structure of a specific row of the model.
Retrieve the index of a constraint, given its name.
Load the given name data (e.g., row and column names), into a model structure.
Retrieve the variable types and their respective counts in a given model.
rLSgetModelStocIntParameter
Get the current value of an integer valued parameter for the given model.
Load stage structure for the model.
rLSgetModelStocDouParameter
Get the current value of a double valued parameter for the given model.
Load semi-continuous data into a model structure.
Provide an initial starting point for LSsolveMIP.
Get the current primal solution for a MIP model.
Get the current reduced cost for a MIP model.
Load a single string into a model structure.
Modify the coefficients for a given column at specified constraints.
Get the deterministic equivalent (DEQ) of the SP model.
Retrieve the indices of stochastic rows.
Load stage structure of the stochastic parameters (SPARs) in the model.
Retrieves the maximum allowable decrease and increase in objective
function coefficients for which the optimal basis remains unchanged.
Load a vector of strings into a model structure and get sort order.
Retrieve the quadratic data associated with constraint i from a model data structure.
Get the stochastic data for the (independent) parametric
stochastic parameter at the specified event index.
Get the specified parameter's macro name.
Get name of stochastic parameter by index.
Retrieve the data of stochastic parameters.
Return the primal solution values for a given model.
Get the index of a stage by its name.
Get scenario name by index.
rLSloadMIPVarStartPointPartial
Load a partial MIP initial point for MIP/MINLP models.
Get a sample object associated with the specified stochastic parameter.
Load stage structure of the constraints in the model.
rLSloadMultiStartSolution
Load the multistart solution at specified index to the main solution structures for access with solution query routines.
Provide an initial starting point for nonlinear and mixed-integer solvers.
Provide priorities for each variable for use by mixed-integer and global solvers.
Get constraint ranges.
Get index of a scenario by its name.
Load a correlation matrix to be used by the sampling scheme in stochastic programming.
Retrieve the data for set i from a model data structure.
Return the objective value for the specified scenario.
rLSgetScenarioReducedCost
Return the reduced cost for the specified scenario.
rLSgetScenarioDualSolution
Return the dual solution for the specified scenario.
Get double information about the current state of the stochastic model.
Writes the given problem to a file in LINDO format.
Optimize a given LP or MILP model with Benders' decomposition.
Get the index of stochastic parameter by name.
Get the solution specified by the second argument.
rLSgetScenarioPrimalSolution
Return the primal solution for the specified scenario.
Return the value of the slack variable for each constraint of a given model.
Retrieve the semi continuous data from a model data structure.
Retrieve the values of the initial primal solution.
Modify the data for the specified cone.
Modify selected constraint right-hand sides of a given model.
Read an initial basis from the given file in the specified format.
rLSsetModelStocParameterInt
Set a stochastic parameter value of type integer.
Get string information about the current state of the stochastic model.
rLSsetEnvStocParameterInt
Set a stochastic parameter value of type integer.
Increase the allocated sizes.
Modify data of a set of semi-continuous variables in the given model.
Modify the set for the specified cone.
Read from character stream in "LINDO LTX Format".
Read the model in LINDO format from the given file and stores the problem data in the
given model structure.
Modify selected objective coefficients of a given model.
LINDO API Parameters.
Read the CORE,TIME,STOCH files for SP models in SMPS format.
Get a copy of the generated sample points.
Provide initial values for variables from a file.
Evaluate the specified function associated with given distribution at specified point.
Set a double precision parameter for a specified model.
Optimize a mixed integer programming model using branch-and-cut.
Modify selected upper bounds in a given model.
Get the specified parameter of a given distribution.
Set an initialization seed for the random number generator.
Writes the IIS of an infeasible LP to a file in LINDO file format.
Get string information about the current state of the stochastic model.
Load a sample of given size to the specified sample.
Loads the GA solution at specified index in the final population to the main solution
structures for access with solution query routines.
Load instruction lists into a model structure.
Writes the given problem to a file in LINGO format.
Generate a sample of a given size with specified method from the underlying distribution.
Set a random number generator object to the specified distribution.
Read branching priorities of variables from a disk file.
Write the deterministic equivalent (DEQ) of the SP models in LINDO format.
Modify selected lower bounds in a given model.
Reads model parameters from a parameter file.
rLSsetModelStocParameterChar
Set a stochastic parameter value of type double.
Solve the MIP model with the branch-and-price method.
Load the given LP data into a model structure.
Read a model in MPS format from the given file and stores the problem data in the given
problem structure.
rLSsetEnvStocParameterDou
Set a stochastic parameter value of type double.
Set a distribution function for the random generator.
rLSsampGetDiscretePdfTable
Get the PDF table from a discrete distribution sample.
Write the CORE,TIME,STOCH files for SP models in SMPI format.
Writes the given problem to a specified file in MPS format.
Get integer information about the sample.
Read a model in MPI format from the given file and stores the problem data in the given
problem structure.
rLSgetVarStartPointPartial
Retrieve the resident partial initial point for NLP models.
rLSloadVarStartPointPartial
Load a partial initial point for NLP models.
Set the specified parameter of the given distribution.
Retrieve the outcomes of stochastic parameters for the specified scenario.
Get the NLP data of the Objective.
Retrieve the name of a variable, given its index number.
Provide a starting basis for the simplex method.
rLSsetEnvStocParameterChar
Set a stochastic parameter value of type string.
Writes model parameters to a parameter file.
Write the deterministic equivalent for the SP model in MPS format.
rLSwriteScenarioLINDOFile
Write scenario model in LINDO format.
Load special sets data into a model structure.
Write scenario model in MPS format.
Write the CORE,TIME,STOCH files for SP models in SMPS format.
Modify the type or direction of a set of constraints.
Read from file stream in "CPLEX LP Format".
Load sample sizes per stage for the stochastic model.
Get a copy of the correlation induced sample points.
Load quadratic cone data into a model structure.
Solve the given model heuristically using the specified search method.
Writes the resident basis to the given file in the specified format.
Optimize a quadratic model with the best suitable solver.
Solve the SP models.
Optimize a global optimization problem.
Write the solution of a given problem to a file in a specific format.
Optimize a continuous model by a given method.
Evaluate the specified multivariate function associated with given distribution at specified point.
Create an instance of a sample of specified distribution.
rLSwriteScenarioSolutionFile
Write the scenario solution to a file.
Reads environment parameters from a parameter file.
Set an integer parameter for a specified model.
Retrieve the index of a variable, given its name.
Provide a block structure for the constraint matrix by specifying
block memberships of each variable and constraint.
Set an integer parameter for a specified environment.
Set the property of the specified constraint of the given model.
rLSsetModelStocDouParameter
Set a double valued parameter for the given model.
Write scenario model in MPI format.
Set an RG object to the specified stochastic parameter.
R interface to LINDO API.
Writes the LP solution to a file.
Writes the given problem to a specified file in MPI format.
Read from character stream in "CPLEX LP Format".
Get double information about the sample.
Writes the given problem to a specified file in MPS format with the sets and SC vars inserted.
Add quadratic elements to the given model.
Delete the elements at specified rows for the specified column for the given model.
Free up the arrays associated with the solution of a given model.
Delete a set of semi-continuous variables in the given model.
Return the slack values for the specified node.
rLSgetMIPVarStartPointPartial
Retrieve the resident initial point for MIP/MINLP models.
Get the integer identifier and the data type of a parameter specified by its name.
rLSaddEmptySpacesNLPAcolumns
Add empty space A, this can make inserting constraints more efficient.
Retrieve the quadratic data from a model data structure.
Get scenario name by index.
Retrieve the stage indices of variables.
Get a copy of the scenario model.
Load variable type data into a model structure.
Load name data for stochastic parameters into the specified model structure.
Load stage structure of the variables in the model.
rLSaddEmptySpacesAcolumns
Add empty space A, this can make inserting constraints more efficient.
Delete a set of cones in the given model.
Delete the specified sample object.
rLSsetModelStocIntParameter
Set an integer valued parameter for the given model.
Disable the printing log function.
Add constraints to a given model.
Add NLP elements to the objective function for the given model.
Get the stochastic data for the specified chance constraint.
rLSsetModelStocParameterDou
Set a stochastic parameter value of type double.
Writes the IUS of an unbounded LP to a file in LINDO file format.
Increase the allocated sizes for how much space is needed for storing names.
Return model or solution double information about the current state of
the LINDO API solver after model optimization is completed.
Retrieve the range of a parameter of type double.
Retrieve the formulation data for a specified constraint in a linear or mixed integer linear program.
Retrieves the error message associated with the given error code.
Retrieves a integer precision parameter for a specified environment.
Get the specified parameter's long description.
Return the probability of a given node in the stochastic tree.
Return the reduced cost of all cone variables for a given model.
Get integer information about the current state of the stochastic model.
Load a nonlinear program's data into the model data structure.
Set distribution parameters.
rLSsampLoadDiscretePdfTable
Load a PDF table for a user defined discrete distribution.
Set number of stages in the model.
Set a double precision parameter for a specified environment.
Optimizes a large LP from an MPS file.
Read the CORE,TIME,STOCH files for SP models in SMPI format.
Write the node solution to a file.
Writes the given problem to a specified file in MPS format.
Modify the types of the variables of the given model.