Community articles — Math

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.

Resumo das Regras para a Dedução Natural Material de aula da disciplina MAC0239 - Introdução à Lógica e Verificação de Programas (Agosto de 2015)

This is the 6th project for Calc1 at Fitchburg State. Students are walked through the steps to justify the different pieces of the Fundamental Theorem of Calculus and make connections between the two parts.

Taller álgebra lineal

Calculating the Probability for Winning a 649 Lottery using Probability.

Module math

The fifth project for Spring 2017 Calculus 2 at Fitchburg State. This project covers fractals and geometric series.

homework 3w

Álgebra Linear II