problem.slpAddCoefs
Purpose
Add non-linear coefficients to the SLP problem. For a simpler version of this function see problem.nlpAddFormulas.
Topic areas
SLP, Problem Modification, Nonlinear
Synopsis
problem.slpAddCoefs(rowind, colind, factor, formulastart, parsed, type, value)
Arguments
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rowind
|
Integer array holding index of row for the coefficient.
|
|
colind
|
Integer array holding index of column for the coefficient.
|
|
factor
|
Double array holding factor by which the formula is scaled. If this is None, then a value of 1 will be used.
|
|
formulastart
|
Integer array holding the start position in the arrays
type and
value of the formula for the coefficients. The last element should be set to the next position after the end of the last formula. |
|
parsed
|
Integer indicating whether the token arrays are formatted as internal unparsed (
parsed=0) or internal parsed reverse Polish (
parsed=1).
|
|
type
|
Array of token types providing the formula for each coefficient.
|
|
value
|
Array of values corresponding to the types in
type.
|
Further information
1. The j
th coefficient is made up of two parts:
factor and
Formula.
factor is a constant multiplier, which can be provided in the
factor array. If Xpress NonLinear can identify a constant factor in
Formula, then it will use that as well, to minimize the size of the formula which has to be calculated.
Formula is made up of a list of tokens in
type and
value starting at
formulastart[j]. The tokens follow the rules for parsed or unparsed formulae as indicated by the setting of
parsed. The formula must be terminated with an
xpress.constants.TOK_EOF token. If several coefficients share the same formula, they can have the same value in
formulastart. For possible token types and values see the NonLinear reference manual.
2. The
add functions load additional items into the SLP problem. The corresponding load functions delete any existing items first.
3. The behaviour for existing coefficients is additive: the formula defined in the parameters are added to any existing formula coefficients. However, due to performance considerations, such duplications should be avoided when possible.
Related topics
problem.nlpGetFormulaStr,
problem.nlpAddFormulas,
problem.nlpChgFormulaStr,
problem.nlpChgFormula,
problem.nlpLoadFormulas,
problem.nlpGetFormulaRows,
problem.nlpGetFormula,
problem.nlpDelFormulas
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