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Template:Optimization algorithms

From Wikipedia, the free encyclopedia
Functions
Gradients
Convergence
Quasi–Newton
Other methods
Hessians
Graph of a strictly concave quadratic function with unique maximum.
Optimization computes maxima and minima.
General
Differentiable
Convex
minimization
Linear and
quadratic
Interior point
Basis-exchange
Paradigms
Graph
algorithms
Minimum
spanning tree
Shortest path
Network flows
Template documentation[view] [edit] [history] [purge]

Usage

[edit]

Place this template at the bottom of appropriate articles in optimization:

{{Optimization algorithms}}

For most transcluding articles, you should add the variable designating the most relevant sub-template: The additional variable will display the sub-template's articles (while hiding the articles in the other sub-templates):

{{Optimization algorithms|unconstrained}}
{{Optimization algorithms|constrained}}
{{Optimization algorithms|convex}}
{{Optimization algorithms|combinatorial}}
{{Optimization algorithms|heuristic}}

With the optional command|state=collapsed, the whole (optimization algorithms) navbox will be initially displayed in itscollapsed (hidden) state, e.g.{{Optimization algorithms|convex|state=collapsed}}.

See also

[edit]
The abovedocumentation istranscluded fromTemplate:Optimization algorithms/doc.(edit |history)
Editors can experiment in this template's sandbox(create |mirror) and testcases(create) pages.
Add categories to the/doc subpage.Subpages of this template.
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