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This library provides an implementation of tables indexed by strings. The binary search is used for names of known length. It is also possible to search a table for names of unknown length, i.e. to parse a string using some table. Table elements can be of any private type. Key- insensitive tables are supported.

Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use.

These files provide a native Ada implementation of some parts of Lapack. The codes provided here are a direct translation (using f2a.pl from Oliver Kellogg) of the Fortran source to Ada. The code is written in the form of a generic package and covers the Lapack routines for - Matrix determinant and inverse on general matrices, - Eigenvalues and eigenvectors of general, real and hermitian symmetric matrices, - Solutions of systems of equations for general, real and hermitian symmetric coefficient matrices, - Singular value decomposition for general matrices Also included is a set of functions (and two procedures) that provide a more familiar Ada style interface to the Lapack routines. ...

A code template tool for VHDL development which outputs to the clipboard - this means it can be used with any tool. Written in Ada, using GTK. Runs on Windows XP and Linux with common source code