Modules

Here is a list of all modules:

[detail level 12]

Assertion functions for linear algebra operations.
Default linear algebra implementation operations.
MatrixNonsing inline non-member operation functions
MatrixOp non-member functions that call virtual functions.
MatrixSymNonsing non-member functions that call virtual functions.
Inline nonmeber functions for MatrixSymOp to call methods.
Collection of standard vector operations.
Reduction operations
Transformation operations
Collection of auxiliary useful vector operations.
Reduction operations
Transformation operations
Linear algebra operations for coordinate matrices.
MatrixNonsingSerial nonmember inline functions.
MatrixOpSerial nonmember inline functions.
MatrixSymNonsingSerial nonmember inline functions.
Inline nonmeber functions for <tt>MatrixSymOpSerial</tt>.
Options for NLPAlgoConfigIP.
Options for NLPAlgoConfigMamaJama.
generate-opt-file.pl: Perl script that generates options files for MoochoSolver
All of the options for a MoochoSolver object
All of the options with full documentation for a MoochoSolver
Options for an MoochoSolver object.
Options for common builder object of type DecompositionSystemStateStepBuilderStd object.
Standard exceptions for MoochoPack
NLPAlgoState iteration quantities names.
Macros for adding IterQuantity objects to NLPAlgoState.
Basic C++/Fortran BLAS declarations/utilities.
BLAS Enumerations
Helper functions
Exception classes.
Poor-mans profiling helper tools.
Macros that add <<std aggr>> members for an association.	For example, if you want to include a <<std aggr>="">> association with an object of type MyClass of the name my_object you would include the macro in the public section of YourClass declaration as follows:
Interfaces for generalized vector
Public declarations, typedefs and misc functions.
Reduction/Transformation Operator Interface Functions (virtual).
Implementation of Reduction/Transformation Operators.
RTOp_Server.
Helper fuctions for applying
Reduction/Transformation operators for example NLP subclass.
Evaluate the constraints for the example NLP.
Evaluate py = -inv(C)c and/or D = inv(C)N for the example %NLP.
Helper function for ExampleNLPDirect
Helper function for ExampleNLPFirstOrder