From this version it is possible to interrupt the simplex or the B&B to obtain a
feasible solution that is not necessarily optimal (see examples 1.10
and 2.14).

Starting from version 3, in the problems with matrix format, the "Double" wrapper is no longer used
to store the coefficients of the matrix A and the rhs values, but the "double" primitive is used.
As a result, the null values cannot be stored in these variables, but will be represented
with the NaN notation (see example 1.4). Furthermore, the inequalities format has been
modified to be more flexible (see example 1.6). Finally, in the use of the sparse format it
is necessary to pass to the LP (or MILP) constructor the constant FormatType.SPARSE
(see example 1.7)

SSC3.0.1r3.jar.zipSSC3.0.1r3.src.zipSSC3.0.1r0.jar.zipSSC3.0.1r0.src.zipFrom this version it is possible to interrupt the simplex or the B&B to obtain a feasible solution that is not necessarily optimal (see examples 1.10 and 2.14).

SSC3.0.0r2.jar.zipStarting from version 3, in the problems with matrix format, the "Double" wrapper is no longer used to store the coefficients of the matrix A and the rhs values, but the "double" primitive is used. As a result, the null values cannot be stored in these variables, but will be represented with the NaN notation (see example 1.4). Furthermore, the inequalities format has been modified to be more flexible (see example 1.6). Finally, in the use of the sparse format it is necessary to pass to the LP (or MILP) constructor the constant FormatType.SPARSE (see example 1.7)

SSC2.1.0r9.jar.zipSSC2.1.0r6.jar.zipSSC2.1.0r4.jar.zipSSC2.1.0r1.jar.zipSSC2.0.0r4.jar.zipSSC2.0.0r3.jar.zipSSC2.0.0r1.jar.zip