rLSaddChanceConstraint
                        Add a new chance-constraint to the SP model.
rLSaddCones             Add cones to a given model.
rLSaddConstraints       Add constraints to a given model.
rLSaddDiscreteBlocks    Add a new discrete stochastic block to the SP
                        model.
rLSaddDiscreteIndep     Add a new discrete independent stochastic
                        parameter to the SP model.
rLSaddEmptySpacesAcolumns
                        Add empty space A, this can make inserting
                        constraints more efficient.
rLSaddEmptySpacesNLPAcolumns
                        Add empty space A, this can make inserting
                        constraints more efficient.
rLSaddInstruct          Add instruction lists into a model structure.
rLSaddNLPAj             Add NLP elements to the specified column for
                        the given model.
rLSaddNLPobj            Add NLP elements to the objective function for
                        the given model.
rLSaddParamDistIndep    Add a new independent stochastic parameter with
                        a parametric distribution to the SP model.
rLSaddQCterms           Add quadratic elements to the given model.
rLSaddSETS              Add sets to a given model.
rLSaddScenario          Add a new scenario block to the SP model.
rLSaddVariables         Add variables to a given model.
rLSaggregateStages      Load stage aggregation scheme for the SP model.
rLScalinfeasMIPsolution
                        Calculate the feasibility of a MIP solution.
rLScheckConvexity       Optimize a quadratic model with the best
                        suitable solver.
rLScopyParam            Copy model parameters to another model.
rLScreateEnv            Create a new instance of LINDO API environment
                        object.
rLScreateModel          Create a new instance of LINDO API model
                        object.
rLScreateRG             Create a new instance of LINDO API random
                        generator object.
rLScreateRGMT           Create a new instance of LINDO API random
                        generator object (multithread thread).
rLSdeduceStages         Deduce constraints and variables stage info.
rLSdeleteAj             Delete the elements at specified rows for the
                        specified column for the given model.
rLSdeleteCones          Delete a set of cones in the given model.
rLSdeleteConstraints    Delete a set of constraints in the given model.
rLSdeleteEnv            Delete LINDO API environment object.
rLSdeleteModel          Delete LINDO API model object.
rLSdeleteNLPobj         Delete NLP elements from the objective function
                        for the given model.
rLSdeleteQCterms        Delete the quadratic terms from a set of
                        constraints in the given model.
rLSdeleteSETS           Delete the sets in the given model.
rLSdeleteSemiContVars   Delete a set of semi-continuous variables in
                        the given model.
rLSdeleteString         Delete the complete string data, including the
                        string vector and values.
rLSdeleteStringData     Delete the string values data.
rLSdeleteVariables      Delete a set of variables in the given model.
rLSdisposeRG            Delete the specified random generator object.
rLSfillRGBuffer         Generate next batch of random numbers into
                        random number buffer.
rLSfindBlockStructure   Examine the nonzero structure of the constraint
                        matrix and tries to identify block structures
                        in the model.
rLSfindIIS              Find an irreducibly inconsistent set (IIS) of
                        constraints for an infeasible model.
rLSfindIUS              Find an irreducibly unbounded set (IUS) of
                        columns for an unbounded linear program.
rLSfreeGOPSolutionMemory
                        Free up the arrays associated with the GOP
                        solution of a given model.
rLSfreeHashMemory       Free up work arrays associated with a given
                        model's variable name hashing.
rLSfreeMIPSolutionMemory
                        Free up the arrays associated with the MIP
                        solution of a given model.
rLSfreeSolutionMemory   Free up the arrays associated with the solution
                        of a given model.
rLSfreeSolverMemory     Free up solver work arrays associated with a
                        given model.
rLSfreeStocHashMemory   Free up Stoch Hashtable memory used in the
                        model for fast name lookup.
rLSfreeStocMemory       Free up stochastic memory.
rLSgetBasis             Get information about the basis that was found
                        after optimizing the given model.
rLSgetBestBounds        Finds the best implied variable bounds for the
                        specified model by improving the original
                        bounds using extensive preprocessing and
                        probing.
rLSgetBlockStructure    Retrieve the block structure information.
rLSgetBoundRanges       Retrieves the maximum allowable decrease and
                        increase in the primal variables for which the
                        optimal basis remains unchanged.
rLSgetChanceConstraint
                        Get the stochastic data for the specified
                        chance constraint.
rLSgetConeDatai         Retrieve data for cone i.
rLSgetConeIndex         Retrieve the name of a cone, given its index.
rLSgetConeNamei         Get the name of a cone with a specified index.
rLSgetConstraintDatai   Get data on a specified constraint.
rLSgetConstraintIndex   Retrieve the index of a constraint, given its
                        name.
rLSgetConstraintNamei   Retrieve the name of a constraint, given its
                        index number.
rLSgetConstraintProperty
                        Return the property of the specified constraint
                        of the given model.
rLSgetConstraintRanges
                        Retrieves the maximum allowable decrease and
                        increase in the right-hand side values of
                        constraints for which the optimal basis remains
                        unchanged.
rLSgetConstraintStages
                        Retrieve the stage indices of constraints.
rLSgetCorrelationMatrix
                        Get the correlation structure between
                        variables.
rLSgetDInfo             Return model or solution double information
                        about the current state of the LINDO API solver
                        after model optimization is completed.
rLSgetDeteqModel        Get the deterministic equivalent (DEQ) of the
                        SP model.
rLSgetDiscreteBlockOutcomes
                        Get the outcomes for the specified block-event
                        at specified block-realization index.
rLSgetDiscreteBlocks    Get the stochastic data for the discrete block
                        event at specified index.
rLSgetDiscreteIndep     Get the stochastic data for the (independent)
                        discrete stochastic parameter at the specified
                        event index.
rLSgetDistrRV           Get the next double random variate of
                        underlying distribution.
rLSgetDouParameterRange
                        Retrieve the range of a parameter of type
                        double.
rLSgetDoubleRV          Get the next standard uniform random variate in
                        the stream.
rLSgetDualModel         Construct the explicit dual from a primal
                        problem.
rLSgetDualSolution      Return the dual solution values for a given
                        model.
rLSgetEnvDouParameter   Retrieves a double precision parameter for a
                        specified environment.
rLSgetEnvIntParameter   Retrieves a integer precision parameter for a
                        specified environment.
rLSgetEnvStocParameterChar
                        Get a stochastic parameter value of type
                        characters from the given env.
rLSgetEnvStocParameterDou
                        Get a stochastic parameter value of type double
                        from the given env.
rLSgetEnvStocParameterInt
                        Get a stochastic parameter value of type
                        integer from the given env.
rLSgetErrorMessage      Retrieves the error message associated with the
                        given error code.
rLSgetErrorRowIndex     Retrieves the index of the row where a numeric
                        error has occurred.
rLSgetFileError         Provides the line number and text of the line
                        in which an error occurred while reading or
                        writing a file.
rLSgetIIS               Retrieve the irreducibly inconsistent set (IIS)
                        of constraints for an infeasible model.
rLSgetIInfo             Return model or solution integer information
                        about the current state of the LINDO API solver
                        after model optimization is completed.
rLSgetIUS               Retrieve the irreducibly unbounded set (IUS) of
                        columns for an unbounded linear model.
rLSgetInitSeed          Get the seed initiated this random generator.
rLSgetInt32RV           Get the next integer random variate in the
                        stream.
rLSgetIntParameterRange
                        Retrieve the range of a parameter of type
                        integer.
rLSgetLPConstraintDatai
                        Retrieve the formulation data for a specified
                        constraint in a linear or mixed integer linear
                        program.
rLSgetLPData            Retrieve the formulation data for a given
                        linear or mixed integer linear programming
                        model.
rLSgetLPVariableDataj   Retrieve the formulation data for a specified
                        variable.
rLSgetMIPBasis          Get information about the basis that was found
                        at the node that yielded the optimal MIP
                        solution.
rLSgetMIPDualSolution   Get the current dual solution for a MIP model.
rLSgetMIPPrimalSolution
                        Get the current primal solution for a MIP
                        model.
rLSgetMIPReducedCosts   Get the current reduced cost for a MIP model.
rLSgetMIPSlacks         Get the current slack values for a MIP model.
rLSgetMIPVarStartPoint
                        Retrieve the values of the initial MIP primal
                        solution.
rLSgetMIPVarStartPointPartial
                        Retrieve the resident initial point for
                        MIP/MINLP models.
rLSgetModelDouParameter
                        Retrieves a double precision parameter for a
                        specified model.
rLSgetModelIntParameter
                        Retrieves a integer precision parameter for a
                        specified model.
rLSgetModelStocDouParameter
                        Get the current value of a double valued
                        parameter for the given model.
rLSgetModelStocIntParameter
                        Get the current value of an integer valued
                        parameter for the given model.
rLSgetModelStocParameterChar
                        Get a stochastic parameter value of type
                        characters from the given model.
rLSgetModelStocParameterDou
                        Get a stochastic parameter value of type double
                        from the given model.
rLSgetModelStocParameterInt
                        Get a stochastic parameter value of type
                        integer from the given model.
rLSgetNLPConstraintDatai
                        Get data about the nonlinear structure of a
                        specific row of the model.
rLSgetNLPData           Get data about the nonlinear structure of a
                        model.
rLSgetNLPObjectiveData
                        Get the NLP data of the Objective.
rLSgetNLPVariableDataj
                        Get data about the nonlinear structure of a
                        specific column of the model.
rLSgetNextBestMIPSol    Generate the next best (in terms of objective
                        value) solution for the current mixed integer
                        model.
rLSgetNodeDualSolution
                        Return the dual solution for the specified
                        node.
rLSgetNodeListByScenario
                        Retrieve the indices of the nodes that belong
                        to a given scenario.
rLSgetNodePrimalSolution
                        Return the primal solution for the specified
                        node.
rLSgetNodeReducedCost   Return the reduced cost for the specified node.
rLSgetNodeSlacks        Return the slack values for the specified node.
rLSgetObjectiveRanges   Retrieves the maximum allowable decrease and
                        increase in objective function coefficients for
                        which the optimal basis remains unchanged.
rLSgetParamDistIndep    Get the stochastic data for the (independent)
                        parametric stochastic parameter at the
                        specified event index.
rLSgetParamLongDesc     Get the specified parameter's long description.
rLSgetParamMacroID      Get the integer identifier and the data type of
                        a parameter specified by its name.
rLSgetParamMacroName    Get the specified parameter's macro name.
rLSgetParamShortDesc    Get the specified parameter's short
                        description.
rLSgetPrimalSolution    Return the primal solution values for a given
                        model.
rLSgetProbabilityByNode
                        Return the probability of a given node in the
                        stochastic tree.
rLSgetProbabilityByScenario
                        Return the probability of a given scenario.
rLSgetQCData            Retrieve the quadratic data from a model data
                        structure.
rLSgetQCDatai           Retrieve the quadratic data associated with
                        constraint i from a model data structure.
rLSgetRangeData         Get constraint ranges.
rLSgetReducedCosts      Return the reduced cost of all variables for a
                        given model.
rLSgetReducedCostsCone
                        Return the reduced cost of all cone variables
                        for a given model.
rLSgetRoundMIPsolution
                        Round the given MIP solution to nearest int
                        solution.
rLSgetSETSData          Retrieve sets data from a model data structure.
rLSgetSETSDatai         Retrieve the data for set i from a model data
                        structure.
rLSgetSampleSizes       Retrieve the number of nodes to be sampled in
                        all stages.
rLSgetScenario          Get the outcomes for the specified specified
                        scenario.
rLSgetScenarioDualSolution
                        Return the dual solution for the specified
                        scenario.
rLSgetScenarioIndex     Get index of a scenario by its name.
rLSgetScenarioModel     Get a copy of the scenario model.
rLSgetScenarioName      Get scenario name by index.
rLSgetScenarioObjective
                        Return the objective value for the specified
                        scenario.
rLSgetScenarioPrimalSolution
                        Return the primal solution for the specified
                        scenario.
rLSgetScenarioReducedCost
                        Return the reduced cost for the specified
                        scenario.
rLSgetScenarioSlacks    Return the primal slacks for the specified
                        scenario.
rLSgetSemiContData      Retrieve the semi continuous data from a model
                        data structure.
rLSgetSlacks            Return the value of the slack variable for each
                        constraint of a given model.
rLSgetSolution          Get the solution specified by the second
                        argument.
rLSgetStageAggScheme    Get stage aggregation scheme for the SP model.
rLSgetStageIndex        Get the index of a stage by its name.
rLSgetStageName         Get scenario name by index.
rLSgetStocCCPDInfo      Get double information about the current state
                        of the stochastic model.
rLSgetStocCCPIInfo      Get integer information about the current state
                        of the stochastic model.
rLSgetStocCCPSInfo      Get string information about the current state
                        of the stochastic model.
rLSgetStocDInfo         Get double information about the current state
                        of the stochastic model.
rLSgetStocIInfo         Get integer information about the current state
                        of the stochastic model.
rLSgetStocParData       Retrieve the data of stochastic parameters.
rLSgetStocParIndex      Get the index of stochastic parameter by name.
rLSgetStocParName       Get name of stochastic parameter by index.
rLSgetStocParOutcomes   Retrieve the outcomes of stochastic parameters
                        for the specified scenario.
rLSgetStocParSample     Get a sample object associated with the
                        specified stochastic parameter.
rLSgetStocRowIndices    Retrieve the indices of stochastic rows.
rLSgetStocSInfo         Get string information about the current state
                        of the stochastic model.
rLSgetStringValue       Retrieve a string value for a specified string
                        index.
rLSgetVarStartPoint     Retrieve the values of the initial primal
                        solution.
rLSgetVarStartPointPartial
                        Retrieve the resident partial initial point for
                        NLP models.
rLSgetVarType           Retrieve the variable types and their
                        respective counts in a given model.
rLSgetVariableIndex     Retrieve the index of a variable, given its
                        name.
rLSgetVariableNamej     Retrieve the name of a variable, given its
                        index number.
rLSgetVariableStages    Retrieve the stage indices of variables.
rLSloadBasis            Provide a starting basis for the simplex
                        method.
rLSloadBlockStructure   Provide a block structure for the constraint
                        matrix by specifying block memberships of each
                        variable and constraint.
rLSloadConeData         Load quadratic cone data into a model
                        structure.
rLSloadConstraintStages
                        Load stage structure of the constraints in the
                        model.
rLSloadCorrelationMatrix
                        Load a correlation matrix to be used by the
                        sampling scheme in stochastic programming.
rLSloadGASolution       Loads the GA solution at specified index in the
                        final population to the main solution
                        structures for access with solution query
                        routines.
rLSloadInstruct         Load instruction lists into a model structure.
rLSloadLPData           Load the given LP data into a model structure.
rLSloadMIPVarStartPoint
                        Provide an initial starting point for
                        'LSsolveMIP'.
rLSloadMIPVarStartPointPartial
                        Load a partial MIP initial point for MIP/MINLP
                        models.
rLSloadMultiStartSolution
                        Load the multistart solution at specified index
                        to the main solution structures for access with
                        solution query routines.
rLSloadNLPData          Load a nonlinear program's data into the model
                        data structure.
rLSloadNameData         Load the given name data (e.g., row and column
                        names), into a model structure.
rLSloadQCData           Load quadratic program data into a model
                        structure.
rLSloadSETSData         Load special sets data into a model structure.
rLSloadSampleSizes      Load sample sizes per stage for the stochastic
                        model.
rLSloadSemiContData     Load semi-continuous data into a model
                        structure.
rLSloadStageData        Load stage structure for the model.
rLSloadStocParData      Load stage structure of the stochastic
                        parameters (SPARs) in the model.
rLSloadStocParNames     Load name data for stochastic parameters into
                        the specified model structure.
rLSloadString           Load a single string into a model structure.
rLSloadStringData       Load a vector of strings into a model structure
                        and get sort order.
rLSloadVarPriorities    Provide priorities for each variable for use by
                        mixed-integer and global solvers.
rLSloadVarStartPoint    Provide an initial starting point for nonlinear
                        and mixed-integer solvers.
rLSloadVarStartPointPartial
                        Load a partial initial point for NLP models.
rLSloadVarType          Load variable type data into a model structure.
rLSloadVariableStages   Load stage structure of the variables in the
                        model.
rLSmodifyAj             Modify the coefficients for a given column at
                        specified constraints.
rLSmodifyCone           Modify the data for the specified cone.
rLSmodifyConstraintType
                        Modify the type or direction of a set of
                        constraints.
rLSmodifyLowerBounds    Modify selected lower bounds in a given model.
rLSmodifyObjective      Modify selected objective coefficients of a
                        given model.
rLSmodifyRHS            Modify selected constraint right-hand sides of
                        a given model.
rLSmodifySET            Modify the set for the specified cone.
rLSmodifySemiContVars   Modify data of a set of semi-continuous
                        variables in the given model.
rLSmodifyUpperBounds    Modify selected upper bounds in a given model.
rLSmodifyVariableType   Modify the types of the variables of the given
                        model.
rLSoptimize             Optimize a continuous model by a given method.
rLSoptimizeQP           Optimize a quadratic model with the best
                        suitable solver.
rLSparam                LINDO API Parameters.
rLSreadBasis            Read an initial basis from the given file in
                        the specified format.
rLSreadEnvParameter     Reads environment parameters from a parameter
                        file.
rLSreadLINDOFile        Read the model in LINDO format from the given
                        file and stores the problem data in the given
                        model structure.
rLSreadLINDOStream      Read from character stream in "LINDO LTX
                        Format".
rLSreadLPFile           Read from file stream in "CPLEX LP Format".
rLSreadLPStream         Read from character stream in "CPLEX LP
                        Format".
rLSreadMPIFile          Read a model in MPI format from the given file
                        and stores the problem data in the given
                        problem structure.
rLSreadMPSFile          Read a model in MPS format from the given file
                        and stores the problem data in the given
                        problem structure.
rLSreadModelParameter   Reads model parameters from a parameter file.
rLSreadSMPIFile         Read the CORE,TIME,STOCH files for SP models in
                        SMPI format.
rLSreadSMPSFile         Read the CORE,TIME,STOCH files for SP models in
                        SMPS format.
rLSreadVarPriorities    Read branching priorities of variables from a
                        disk file.
rLSreadVarStartPoint    Provide initial values for variables from a
                        file.
rLSsampCreate           Create an instance of a sample of specified
                        distribution.
rLSsampDelete           Delete the specified sample object.
rLSsampEvalDistr        Evaluate the specified function associated with
                        given distribution at specified point.
rLSsampEvalUserDistr    Evaluate the specified multivariate function
                        associated with given distribution at specified
                        point.
rLSsampGenerate         Generate a sample of a given size with
                        specified method from the underlying
                        distribution.
rLSsampGetCIPoints      Get a copy of the correlation induced sample
                        points.
rLSsampGetDInfo         Get double information about the sample.
rLSsampGetDiscretePdfTable
                        Get the PDF table from a discrete distribution
                        sample.
rLSsampGetDistrParam    Get the specified parameter of a given
                        distribution.
rLSsampGetIInfo         Get integer information about the sample.
rLSsampGetPoints        Get a copy of the generated sample points.
rLSsampLoadDiscretePdfTable
                        Load a PDF table for a user defined discrete
                        distribution.
rLSsampLoadPoints       Load a sample of given size to the specified
                        sample.
rLSsampSetDistrParam    Set the specified parameter of the given
                        distribution.
rLSsampSetRG            Set a random number generator object to the
                        specified distribution.
rLSsetConstraintProperty
                        Set the property of the specified constraint of
                        the given model.
rLSsetDistrParamRG      Set distribution parameters.
rLSsetDistrRG           Set a distribution function for the random
                        generator.
rLSsetEnvDouParameter   Set a double precision parameter for a
                        specified environment.
rLSsetEnvIntParameter   Set an integer parameter for a specified
                        environment.
rLSsetEnvStocParameterChar
                        Set a stochastic parameter value of type
                        string.
rLSsetEnvStocParameterDou
                        Set a stochastic parameter value of type
                        double.
rLSsetEnvStocParameterInt
                        Set a stochastic parameter value of type
                        integer.
rLSsetModelDouParameter
                        Set a double precision parameter for a
                        specified model.
rLSsetModelIntParameter
                        Set an integer parameter for a specified model.
rLSsetModelStocDouParameter
                        Set a double valued parameter for the given
                        model.
rLSsetModelStocIntParameter
                        Set an integer valued parameter for the given
                        model.
rLSsetModelStocParameterChar
                        Set a stochastic parameter value of type
                        double.
rLSsetModelStocParameterDou
                        Set a stochastic parameter value of type
                        double.
rLSsetModelStocParameterInt
                        Set a stochastic parameter value of type
                        integer.
rLSsetNumStages         Set number of stages in the model.
rLSsetPrintLogNull      Disable the printing log function.
rLSsetProbAllocSizes    Increase the allocated sizes.
rLSsetProbNameAllocSizes
                        Increase the allocated sizes for how much space
                        is needed for storing names.
rLSsetRGSeed            Set an initialization seed for the random
                        number generator.
rLSsetStocParRG         Set an RG object to the specified stochastic
                        parameter.
rLSsolveFileLP          Optimizes a large LP from an MPS file.
rLSsolveGOP             Optimize a global optimization problem.
rLSsolveHS              Solve the given model heuristically using the
                        specified search method.
rLSsolveMIP             Optimize a mixed integer programming model
                        using branch-and-cut.
rLSsolveMipBnp          Solve the MIP model with the branch-and-price
                        method.
rLSsolveSBD             Optimize a given LP or MILP model with Benders'
                        decomposition.
rLSsolveSP              Solve the SP models.
rLSwriteBasis           Writes the resident basis to the given file in
                        the specified format.
rLSwriteDeteqLINDOFile
                        Write the deterministic equivalent (DEQ) of the
                        SP models in LINDO format.
rLSwriteDeteqMPSFile    Write the deterministic equivalent for the SP
                        model in MPS format.
rLSwriteDualMPSFile     Writes the given problem to a specified file in
                        MPS format.
rLSwriteIIS             Writes the IIS of an infeasible LP to a file in
                        LINDO file format.
rLSwriteIUS             Writes the IUS of an unbounded LP to a file in
                        LINDO file format.
rLSwriteLINDOFile       Writes the given problem to a file in LINDO
                        format.
rLSwriteLINGOFile       Writes the given problem to a file in LINGO
                        format.
rLSwriteMPIFile         Writes the given problem to a specified file in
                        MPI format.
rLSwriteMPSFile         Writes the given problem to a specified file in
                        MPS format.
rLSwriteModelParameter
                        Writes model parameters to a parameter file.
rLSwriteNodeSolutionFile
                        Write the node solution to a file.
rLSwriteSMPIFile        Write the CORE,TIME,STOCH files for SP models
                        in SMPI format.
rLSwriteSMPSFile        Write the CORE,TIME,STOCH files for SP models
                        in SMPS format.
rLSwriteScenarioLINDOFile
                        Write scenario model in LINDO format.
rLSwriteScenarioMPIFile
                        Write scenario model in MPI format.
rLSwriteScenarioMPSFile
                        Write scenario model in MPS format.
rLSwriteScenarioSolutionFile
                        Write the scenario solution to a file.
rLSwriteSolution        Writes the LP solution to a file.
rLSwriteSolutionOfType
                        Write the solution of a given problem to a file
                        in a specific format.
rLSwriteWithSetsAndSC   Writes the given problem to a specified file in
                        MPS format with the sets and SC vars inserted.
rLindo                  R interface to LINDO API.
