Search Results for "data collection algorithm"

...The main algorithms on graphs are implemented in an easy way and with good performance features. Network Flow (maximum and min cost), cut points, topological sort, spanning trees, min paths. etc. The graphs are generic in the sense that they can contain data independent of the algorithm. Several containers of the C++ STL library are implemented with Aleph-w. Their performance is better than GNU implementation

QNANWidgets is a collection of science/engineering oriented Qt Widgets to help in creating sci/eng. applications and include a chart and plot widget. The widgets are easy to use and can be customized in Qt Designer directly.

Extreem Reader for Cosmological simulation data P-Gadet2 and ART codes.It conserves memory by using memory mapped files. Contains some basic analysis tools such a KD-Tree, Minimum Spanning Tree, and rendering module using PMViewer algorithm.

This is a MATLAB implementation of inverse compositional Active Appearance Models (AAMs), as described in the "Active Appearance Models Revisited" paper by Iain Matthews and Simon Baker.

In most cases,Developer required implementation library repeatedly for some modual.this project collection algorithm and implementation.Provide the necessary documentation.

MBDyn_sim_suite is a collection of free pre&post-processing tools and simulation models for the open-source multi-body analysis software MBDyn forming a general purpose simulation environment for structural dynamics with an emphasis on wind turbines.

dbook is a collection of programs to manage a big book collection on the command line Including: ISBN checker and converter, Amazon book information retrieval, [book data base, lend record] create bibtex out of latex/tex automatically. DBook is also a Document creation tool which can be found under http://www.dbook.org

Cosmos (by OpenGenus Foundation) is your personal offline collection of every algorithm and data structure one will ever encounter and use in a lifetime. This provides solutions in various languages spanning C, C++, Java, JavaScript, Swift, Python, Go and others. This work is maintained by a community of hundreds of people and is a massive collaborative effort to bring the readily available coding knowledge offline.