Gallery — Math

En este documento se explican qué son las matrices, los distintos tipos que hay, algunas operaciones que se hacen con ellas con ellas (y sus respectivas propiedades), además de enseñar cómo realizar estas operaciones en programación. Incluye el concepto de relación binaria, y se explica cómo se pueden representar éstas (si son homogéneas) mediante grafos. y los distintos tipos de éstos últimos. Se recalca la "matriz jacobiana", explicando su función escalar y vectorial

This is the template of a regular article to Mathematica Applicanda — the Annales Societatis Mathematicae Polonae Series III published by Polish Mathematical Society.

This document and its LaTeX source are meant as a guide to the Notre Dame Journal of Formal Logic’s (NDJFL) style and the style files ndjflart and jflnat.bst.

This paper describes the use of the jsfds LaTeX document class and is prepared as a sample to illustrate the use of this class written for the Journal of the French Statistical Society. This an adaptation of the public document class imsart.

Template for the final assignment report for the course MV013 Statistics for Computer Science taught at the Faculy of Informatics, Masaryk University, Brno.

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.

Modello di documento latex per la scrittura di soluzioni dei problemi (per la partecipazione agli stage delle olimpiadi di matematica).

Exercício de nivelamento de Lógica II, feito pelo aluno Fellipe de Carvalho Silva na UFRJ, em 2018.2.

A sample document with some code, useful packages, resources, and sample solution writeups to help Phillips Academy math students get started with Overleaf and LaTeX.