pub unsafe extern "C" fn Highs_lpCall(
    num_col: HighsInt,
    num_row: HighsInt,
    num_nz: HighsInt,
    a_format: HighsInt,
    sense: HighsInt,
    offset: f64,
    col_cost: *const f64,
    col_lower: *const f64,
    col_upper: *const f64,
    row_lower: *const f64,
    row_upper: *const f64,
    a_start: *const HighsInt,
    a_index: *const HighsInt,
    a_value: *const f64,
    col_value: *mut f64,
    col_dual: *mut f64,
    row_value: *mut f64,
    row_dual: *mut f64,
    col_basis_status: *mut HighsInt,
    row_basis_status: *mut HighsInt,
    model_status: *mut HighsInt
) -> HighsInt
Expand description

Formulate and solve a linear program using HiGHS.

@param num_col the number of columns @param num_row the number of rows @param num_nz the number of nonzeros in the constraint matrix @param a_format the format of the constraint matrix as a kHighsMatrixFormat constant @param sense the optimization sense as a kHighsObjSense constant @param offset the objective constant @param col_cost array of length [num_col] with the column costs @param col_lower array of length [num_col] with the column lower bounds @param col_upper array of length [num_col] with the column upper bounds @param row_lower array of length [num_row] with the row lower bounds @param row_upper array of length [num_row] with the row upper bounds @param a_start the constraint matrix is provided to HiGHS in compressed sparse column form (if a_format is kHighsMatrixFormatColwise, otherwise compressed sparse row form). The sparse matrix consists of three arrays, a_start, a_index, and a_value. a_start is an array of length [num_col] containing the starting index of each column in a_index. If a_format is kHighsMatrixFormatRowwise the array is of length [num_row] corresponding to each row. @param a_index array of length [num_nz] with indices of matrix entries @param a_value array of length [num_nz] with values of matrix entries

@param col_value array of length [num_col], filled with the primal column solution @param col_dual array of length [num_col], filled with the dual column solution @param row_value array of length [num_row], filled with the primal row solution @param row_dual array of length [num_row], filled with the dual row solution @param col_basis_status array of length [num_col], filled with the basis status of the columns in the form of a kHighsBasisStatus constant @param row_basis_status array of length [num_row], filled with the basis status of the rows in the form of a kHighsBasisStatus constant @param model_status termination status of the model after the solve in the form of a kHighsModelStatus constant

@returns a kHighsStatus constant indicating whether the call succeeded