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# XSLP_DERIVATIVES, NLPDERIVATIVES

Description | Bitmap describing the method of calculating derivatives
Type | Integer
Topic area | Derivatives
Values |
Bit | Meaning
0 | analytic derivatives where possible
1 | avoid embedding numerical derivatives of instantiated functions into analytic derivatives
Default value | 1
Notes | If no bits are set then numerical derivatives are calculated using finite differences. Analytic derivatives cannot be used for formulae involving discontinuous functions. They may not work well with functions which are not smooth (such as MAX), or where the derivative changes very quickly with the value of the variable (such as LOG10 of small values). Both first and second order analytic derivatives can either be calculated as symbolic formulas, or by the means of auto-differentiation, with the exception that the second order symbolic derivatives require that the first order derivatives are also calculated using the symbolic method.
Affects routines | XSLPconstruct, XSLPmaxim, XSLPminim
See also | XSLP_JACOBIAN, XSLP_HESSIAN
Category | Control

Parent Topic Integer control parameters

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