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A template for creating ICES conference proceedings submissions.

Template for a thesis cover page

The impact crater of a small metal ball of 63.7 grams (0.0637kg) is dropped from 8 different heights, ranging from 0.20m to 0.90m was observed. A mean was measured for the craters diameter. Using the equation E=mg$\Delta$h given that we have m, and g is a constant of 9.81 we can find the kinetic energy of the ball on impact. The relationship between crater diameter, D, and impact energy, E, is given by D=kE$^n$ where K is constant and n is found by the gradient of the graph and is also constant. This can be modified to give $\log D = n\log E + \log k$.

LaTeX beamer template for UCASS students, based and modified most on Tsinghua Beamer Theme. Github on https://github.com/shr2333/UCASS-Beamer-Theme Updated in January, 2024

This document is the LaTeX template for submitting articles at the WPGEC (Workshop de Pós-graduação de Engenharia da Computação) from the University of São Paulo in its sixth edition. This document allows the writing of articles in both portuguese and english version. Collaborator: Rosalia Caya

El barómetro es un instrumento de medición atmosérica, específicamente utilizado en la determinación de la fuerza por unidad de superficie ejercida por el peso de la atmósfera. Existe un gran número de equipos atmoféricos con distintos tipos de estos aparátos y son diariamente utilizados ya que la presión atmosférica juega un papel importante en la determinación y pronóstico del tiempo así como en el área de investigación al momento de realizarse experimentos ya que pueden llegar a afectar o hacer variar el funcionamiento de muchos aparatos electrónicos y mecánicos.

Resumo da apresentação para uma disciplina na UFABC.

start of file `template.tex'. Copyright 2006-2013 Xavier Danaux (xdanaux@gmail.com). This work may be distributed and/or modified under the conditions of the LaTeX Project Public License version 1.3c, available at http://www.latex-project.org/lppl/. Version for spanish users, by dgarhdez

Under a partly linear model we study a family of robust estimates for the regression parameter and the regression function when some of the predictors take values on a Riemannian manifold. We obtain the consistency and the asymptotic normality of the proposed estimators. Simulations and an application to a real dataset show the good performance of our proposal under small samples and contamination.
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