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Document type:
IDP-Arbeit 
Author(s):
Tianyi Ge 
Title:
Python Software Suite of Geometric-Oblivious FMM 
Abstract:
This guided research focuses on optimizing pre-existing python codes of GOFMM and incorporating new functionality into the embedded balanced tree data structure by GOFMM. The original codes rely heavily on nested loops, conditional checks and index tracking, making it difficult to apply GOFMM to new applications. The revised version implements a set-oriented interface on setting up the GOFMM data structure. Particularly, we formalize all sampling methods in set. As a result, the codes are mu...    »
 
Supervisor:
Hans-Joachim Bungartz 
Advisor:
Severin Reiz 
Year:
2020 
Quarter:
2. Quartal 
Year / month:
2020-05 
Month:
May 
University:
TUM