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MODEL

... time modulation of input parameters - diverse data collecting classes for data analysis - Small signal analysis (first order) ...
C/C++
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tvmet

... and Vectors with fixed sizes (of course), the data is stored in a static array. - compile time dimension check for Vectors and Matrices to preserve the mathematical meaning. - vector, matrix, matrix-matrix and matrix-vector fast operations ...
C/C++
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ATLAS

ATLAS (Automatically Tuned Linear Algebra Software) provides highly optimized Linear Algebra kernels for arbitrary cache-based architectures.ATLAS provides ANSI C and Fortran77 interfaces for the entire BLAS API, and a small portion of the LAPACK API. ...
C/C++
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Null Object Design Pattern

... an 'intelligent' replacement for the often used primitive data type None in Python or Null (or Null pointers) in other languages. These are used for many purposes including the important case where one member of some group of otherwise similar elements is special for whatever reason. Most often this results ...
Python
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Restrictive APIs for Python

Python has no inherent provision for a restrictive API that blocks accesses to methods and variables outside an allowed set. Inexperienced Python programmers may fail to adhere to an agreed-upon API, directly accessing the private internals of a class. Adherence to defined APIs is a good thing. This script contains a  ...
Python
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Tuples with Named Elements via Spawning

... the definition of the attribute names from the data specification. And in doing so, this approach diminishes instantiation hassles and further improves clarity. ...
Python
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Descriptive statistical analysis tool

... used for computing numerical statistics for a given data set.This recipe implements a descriptive statistical analysis class. ... aid in computing numerical statistics for a given data set. It's well documented and hopefully useful. ...
Python
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Sparse

... matrix class based on a dictionary to store data using 2-element tuples (i,j) as keys (i is the row and j the column index). The common matrix operations such as 'dot' for the inner product, multiplication/division by a scalar, indexing/slicing, etc. are overloaded for convenience.When used in conjunction with the ...
Python
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Fractal tree

... is a good example of how Python's powerful data structures, combined with a vast body of modules can be used to write concise and user friendly code. The code was tested with Python 2.3 and 2.4. ...
Python
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Composite design pattern using dictionaries

... It can be used to process hierarchical, tree-based data structures using Python dictionaries. ...
Python
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