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The info version of this document is accessible, after package
installation, from the Octave commandline with optim_doc()
.
This documentation applies to version 1.6.2 of the optim package.
The optim package is a collection of additional functions related to numerical optimization. For Octaves core optimization functions (not contained in this package) see (octave)Optimization.
Types of functions in the optim package | ||
---|---|---|
• Scalar optimization: | Functions for optimization of a scalar objective function. | |
• Residual optimization: | Functions for optimization of a model function returning an array. | |
• Zero finders: | Functions for finding the zero of a scalar or array valued nonlinear user function. | |
• Gradient functions: | Functions for numerical approximation of gradients and Hessians. | |
• Helper functions: | Functions for algebraic tasks common to optimization problems. | |
• Documentation: | Function optim_doc to view documentation. | |
• Compatibility functions: | Functions with traditional names and arguments which provide a subset of the functionality of other functions. | |
Configuration | ||
• Common frontend options: | Options common to all frontends. | |
• Common optimization options: | Options common to all optimization frontends. | |
• Parameter structures: | Handling of structures of optimized parameters. | |
• Additional parameters: | Passing additional parameters to user functions. | |
Indices | ||
• Function index: | Index of functions in optim. | |
• Concept index: | Concept index. |
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