Add sets of standard tolerance values to an SLP problem

The following example creates two tolerance sets: the first has values of 0.005 for all tolerances; the second has values of 0.001 for relative tolerances (numbers 2,4,6,8), values of 0.01 for absolute tolerances (numbers 1,3,5,7) and zero for the closure tolerance (number 0).

tol = 9*[0.005]+[0]+[0.01,0.001]*4
p.addtolsets(tol)

A tolerance set is an array of 9 values containing the following tolerances:

Entry / Bit	Tolerance	XSLP constant	XSLP bit constant
0	Closure tolerance (TC)	xslp_TOLSET_TC	xslp_TOLSETBIT_TC
1	Absolute delta tolerance (TA)	xslp_TOLSET_TA	xslp_TOLSETBIT_TA
2	Relative delta tolerance (RA)	xslp_TOLSET_RA	xslp_TOLSETBIT_RA
3	Absolute coefficient tolerance (TM)	xslp_TOLSET_TM	xslp_TOLSETBIT_TM
4	Relative coefficient tolerance (RM)	xslp_TOLSET_RM	xslp_TOLSETBIT_RM
5	Absolute impact tolerance (TI)	xslp_TOLSET_TI	xslp_TOLSETBIT_TI
6	Relative impact tolerance (RI)	xslp_TOLSET_RI	xslp_TOLSETBIT_RI
7	Absolute slack tolerance (TS)	xslp_TOLSET_TS	xslp_TOLSETBIT_TS
8	Relative slack tolerance (RS)	xslp_TOLSET_RS	xslp_TOLSETBIT_RS

The xslp_TOLSET constants can be used to access the corresponding entry in the value arrays, while the xslp_TOLSETBIT constants are used to set or retrieve which tolerance values are used for a given SLP variable.

Once created, a tolerance set can be used to set the tolerances for any SLP variable.

If a tolerance value is zero, then the default tolerance will be used instead. To force the use of a tolerance, use the problem.chgtolset function and set the Status variable appropriately.

See the section "Convergence criteria" of the SLP Reference Manual for a fuller description of tolerances and their uses.

The problem.addtolsets functions load additional items into the SLP problem. The corresponding problem.loadtolsets functions delete any existing items first.

problem.chgtolset, problem.deltolsets, problem.gettolset, problem.loadtolsets