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Introducción a la teoría del error
Introducción a la teoría del error
Guía de presentación de trabajos
Liliana Guzmán
Módulo de Young
Módulo de Young
trabajo universitario con explicación breve del módulo de young
Jaime Gonzalez
Résolution numérique du problème inverse
Résolution numérique du problème inverse
Résolution de problème inverse par point fixe
Ludovico Altana
AS / A Level Physics Definitive
AS / A Level Physics Definitive
This is written as a learning material for high school students, but since it is in LaTeX, I submitted it to the Overleaf Gallery. A guide for answering questions asking “define” or “what is meant by”, as well as some other tricky questions.
Lynn Mao Wtm
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
Introducción a MATLAB
Introducción a MATLAB
En el presente post, haremos una breve introducción de la herramienta MATLAB. Presentaremos funciones, operaciones y gráficos con más de dos datos, para asi luego ordenar y hacer cálculos con matrices.
Benjamin Pastene Rebolledo
Inleiding tot R
Inleiding tot R
Dit is een Nederlandstalige bijdrage vanwege Ludo Poelaert, UGent. In deze korte tekst wordt een inleiding tot de taal R gegeven. U mag de tekst vrij gebruiken onder het Creative Commons CC BY 4.0 . Succes ermee.
Professor Ludo Poelaert
ARML Lecture:  Intermediate Proofs
ARML Lecture: Intermediate Proofs
A lecture on intermediate proofs that I taught at ARML.
Justin Stevens
The line of best fit via transformations
The line of best fit via transformations
In this note, we will show how transformations can be used to obtain a radically simple derivation of the equation of the line of best fit. Our approach also gives a simple geometric interpretation of the Pearson correlation coefficient.
David Radcliffe

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