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Laboratório de Matemática 2019 --- template
Template para os relatórios da disciplina Laboratório de Matemática
Luís Sequeira

Spacetime diagrams for uniformly accelerating observers
Use TikZ/PGF to programmatically draw spacetime diagrams for uniformly accelerated observers. Set the acceleration, initial conditions, and other parameters.
Questions/Comments to Robert McNees at rmcnees@luc.edu, http://jacobi.luc.edu January 2015
Robert McNees

Algorithms for testing non-trivial prime factors against composite numbers
Senior high school student interested in math, hope to make math friends. lzakaria54@gmail.com
Labib Zakaria

BIO 230 Probability Theory and Applications HW I
This is only a homework draft
Lana N A

I love math
j'aimes les math par une courbe paramétrique de cœur !
Noureddine

Problem Set Template
A template for problem sets, set up to enter blocks of equations, images and arrays.
Urmila Chadayammuri

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

Assignment 1
Math 471 Homework 1
Lorenzo Rodriguez

IEOR 6613 - Optimization
Homework for IEOR 6613
Sahil Bhatia