Initializing help system before first use

# problem.nlpOptimize

Purpose
Maximize or minimize an SLP problem
Topic areas
Solution Process, Nonlinear
Synopsis
`problem.nlpOptimize(flags="")`
Argument

flags: str | Flags to pass to problem.nlpOptimize. The default is "" or None, in which case the solve stops after solving the root relaxation (or a continuous problem to completion) and it restarts the solve without continuing.
g | Perform a branch and bound search if necessary to solve the problem;
c | continue a previously interrupted solve.
All other flags are passed to the Optimizer: see problem.lpOptimize.

Related controls
Integer

NLPLOG | Determines the amount of iteration logging information produced.
NLPPRESOLVE | Bit map determining the type of nonlinear presolve used before the SLP optimization starts.
SLPALGORITHM | Bit map determining the SLP algorithm(s) used in the optimization.
SLPAUGMENTATION | Bit map determining the type of augmentation used to create the linearization.
SLPCASCADE | Bit map determining the type of cascading (recalculation of SLP variable values) used during the SLP optimization.

Further information
1. If problem.slpConstruct has not already been called, it will be called first, using the augmentation defined by the control variable SLPAUGMENTATION.
2. If determining rows are provided, then cascading will be invoked in accordance with the setting of the control variable SLPCASCADE.
Related topics
problem.slpConstruct.
Parent Topic Xpress problem object methods

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