Data: Solver with Simplex LP, integer branch and bound and a nonlinear method (#326)

data.solver maximises, minimises or targets a value in an objective cell by
changing variable cells under <=, >=, =, int and bin constraints. Simplex LP
linearises the model through recalculation, checks linearity and solves it
with a two-phase simplex; integers use branch and bound. The GRG Nonlinear
choice runs an augmented-Lagrangian projected-gradient method. The model is
saved as hidden solver_* names; Solver Parameters and Solver Results dialogs.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
vangel76
2026-10-11 12:56:36 +02:00
co-authored by Claude Opus 5.5
parent 9f896c1249
commit dc75b2cf5e
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