/** \page LinearConstraints Constructing linear constraints In this section, you will learn about The two essential components of linear constraints, are the definitions of the constraints and the right-hand side. Each row in a matrix denotes the coefficients of a linear constraint. If the \a jth variable does not appear in the \a ith constraint, the corresponding element of A, Aij is set to zero. In the next section, we provide a brief tutorial on matrix initialization. \section Matrix Initializing a Matrix in OPT++ Storing elements in a matrix is a simple task which can be accomplished in various ways. You can load the elements of a matrix from an array: \code Matrix A(10,12); Real a[] = {11,12,....,61,62,63,.....,101,102,...,1012}; A << a; \endcode Or, for small matrices you can enter the values as follows. \code Matrix A(3,2); A << 11 << 12 << 21 << 22 << 31 << 32; \endcode Note: Matrices are stored by row. Now, we show the necessary steps for creation of linear equations and inequalities. \section LinearEquations Creating Linear Equations As customary, linear equations are written as \f[ Ax = b. \f] The LinearEquation constructor \code LinearEquation(const Matrix& A, const ColumnVector& rhs); \endcode requires two parameters, a Matrix, which consists of the constraints, and a ColumnVector that contains the elements of the right-hand side. \section LinearInequalities Creating Linear Inequalities In OPT++, the standard form for a linear inequality is \f[ Ax \ge b. \f] The corresponding constructor is \code LinearInequality(const Matrix& A, const ColumnVector& rhs); \endcode To define upper bounds on the constraints, such as \f[ Ax \le b, \f] use the following constructor: \code LinearInequality(const Matrix& A, const ColumnVector& rhs, const bool rowFlag); \endcode To create lower and upper bounds on the constraints, use \code LinearInequality(const Matrix& A, const ColumnVector& lower, const ColumnVector& upper); \endcode which generates \f[l \le Ax \le u. \f]

OPT++ does not support sparse constraints. Therefore, a bound must be given for each constraint even if only a subset of the constraint have finite bounds. An infinite lower bound is specified by \f[l_i \le -1.0e10. \f] Similarly, an infinite upper bound is specified by \f[u_i \ge 1.0e10. \f]

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Last revised July 13, 2006 */