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Principio de identidad y del Argumento
Principio de identidad y del Argumento
Esta presentación algunas definiciones y resultados del análisis complejo; todas ellas presentadas con el fin de dar una prueba completa del principio de identidad y del principio del argumento. Referencias de la presentación: Basic Complex ANalysis, 3rd Ed. Jerrold E. Marsden, Michael J. Hoffman.
Diego Alejandro
Mimetic postprocessing for LFRic
Mimetic postprocessing for LFRic
We describe what mimetic interpolation is and why it is critical for some pre- and post-processing tasks. A simple test case shows how using bilinear interpolation for a flux calculation introduces numerical errors that depend on the grid, the number of segments and the number of quadrature points. In contrast, mimetic interpolation will return the exact result regardless of the grid resolution and the number of segments.
Alex Pletzer and Wolfgang Hayek and Jorge Bornemann
Lifting The Exponent Lemma
Lifting The Exponent Lemma
Lifting The Exponent Lemma
Jan Kociniak
Riemann Rearrangement Thoerem and Proof
Riemann Rearrangement Thoerem and Proof
A simple proof of Riemann's Rearrangement Theorem. Also called Riemann's series theorem.
David Klapheck
The Quadratic Formula
The Quadratic Formula
This paper will state and prove the quadratic formula.
Tyler Keane
EECS16A Optional Review Session II (Fall 2015)
EECS16A Optional Review Session II (Fall 2015)
Guerilla Section 2 Worksheet
EE16A Staff
An application of the Ncut algorithm, with an open-source implementation (in the R environment).
An application of the Ncut algorithm, with an open-source implementation (in the R environment).
Although the analysis of data is a task that has gained the interest of the statistical community in recent years and whose familiarity with the statistical computing environment, they encourage the current statistical community (to students and teachers of the area) to complete statistical analysis reproducible by means of the tool R. However for years there has been a gap between the calculation of matrices on a large scale and the term "big data", in this work the Normalized Cut algorithm for images is applied. Despite the expected, the R environment to do image analysis is poorly, in comparison with other computing platforms such as the Python language or with specialized software such as OpenCV. Being well known the absence of such function, in this work we share an implementation of the Normalized Cut algorithm in the R environment with extensions to programs and processes performed in C ++, to provide the user with a friendly interface in R to segment images. The article concludes by evaluating the current implementation and looking for ways to generalize the implementation for a large scale context and reuse the developed code. Key words: Normaliced Cut, image segmentation, Lanczos algorithm, eigenvalues and eigenvectors, graphs, similarity matrix, R (the statistical computing environment), open source, large scale and big data.
José Antonio garcia
TALLER ALGEBRA LINEAL ISAAC RODRIGUEZ
TALLER ALGEBRA LINEAL ISAAC RODRIGUEZ
Taller álgebra lineal
Isaac Rodriguez Escallon
Solução estacionária da EDP de Defeitos de Radiação por métodos numéricos
Solução estacionária da EDP de Defeitos de Radiação por métodos numéricos
It's a work that discuss solutions of an specific equation using different numerical methods.
Davi

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