What Is Optimization Toolbox?

2 TutorialLarge-Scale Examples (p. 2-40)Default Options Settings (p. 2-78)Displaying Iterative Output (p. 2-81)Calling an Output FunctionIteratively (p. 2-88)Optimizing Anonymous FunctionsInstead of M-Files (p. 2-95)Typical Problems and How to Dealwith Them (p. 2-98)Selected Bibliography (p. 2-102)Presents large-scale algorithmsthrough a selection of large-scaleexamples. These examples includespecifying sparsity structures,and preconditioners, as well asunconstrained and constrainedproblems.Describes the use of default optionssettings, how to change them andhow to determine which options areused by a specified function. It alsoIncludes examples of setting somecommonly used options.Describes iterative output you candisplay in the Command Window.Describes how to make anoptimization function call anoutput function at each iteration.Describes how to represent amathematical function at thecommand line by creating ananonymous function from a stringexpression. It also includes anexample for passing additionalparameters.Provides tips to improve solutionsfound using optimization functions,improve efficiency of algorithms,overcome common difficulties, andtransform problems typically not instandard form.Lists published materials thatsupport concepts implemented inOptimization Toolbox.2-2