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Minicurso LaTeX
Minicurso LaTeX
First Class
Thales Domingues
Combinatorics
Combinatorics
Some notes on combinatorics
Eli Stoken
Álgebra Linear II
Álgebra Linear II
Álgebra Linear II
eu
PRE-INFORME
PRE-INFORME
pre-informe L5, laboratorio de fisica
Daniela Duarte
Módulo de Young
Módulo de Young
trabajo universitario con explicación breve del módulo de young
Jaime Gonzalez
ARML Lecture:  Intermediate Proofs
ARML Lecture: Intermediate Proofs
A lecture on intermediate proofs that I taught at ARML.
Justin Stevens
PRE-INFORME L6
PRE-INFORME L6
Pre-informe del laboratorio de física 1, guía L6
Daniela Duarte
Sistemas Nebulosos - Seminários - Mineração de Regras
Sistemas Nebulosos - Seminários - Mineração de Regras
Disciplina de Sistemas Nebulos, PPGEE/UFMG - Resumo dos artigos : NOZAKI, K.; ISHIBUCHI, H.; TANAKA, H. A simple but powerful heuristic method for generating fuzzy rules from numerical data. Fuzzy sets and systems, Elsevier, v. 86, n. 3, p. 251–270, 1997. WANG, L.-X.; MENDEL, J. M. Generating fuzzy rules by learning from examples. Systems, Man and Cybernetics, IEEE Transactions on, IEEE, v. 22, n. 6, p. 1414–1427, 1992.
Petronio Silva
Introduction to Python-igraph
Introduction to Python-igraph
In this tutorial, we are going to introduce python-igraph that is packages for network analysis. igraph provides a huge amount of facilities for those who want to do any analysis on networks, from elementary aspects to advanced ones like shortest path, community detection and clustering, network traffic analysis and so forth. In this tutorial, we are going to introduce igraph by a real-life example which is finding a route in Australian road network between two Australian cities with minimum duration.
Soroosh Nazem

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