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A gallery of up-to-date and stylish LaTeX templates, examples to help you learn LaTeX, and papers and presentations published by our community. Search or browse below.

MONTE CARLO - ALGORITMO DE LOCALIZACION
Los métodos de Montecarlo abarcan una colección de técnicas que permiten obtener soluciones de problemas matemáticos o físicos por medio de pruebas aleatorias repetidas.
Elvis

The study of shock waves in the gas (Molecular Workshop 3-3)
Report on laboratory practical
Egor

Thai in LaTeX: ตัวอย่างการใช้ UTF-8
This example shows how to write in Thai in LaTeX using the thailatex package. It uses UTF-8 encoding so you can type Thai characters directly in the LaTeX source code.
It also shows how to mix Thai with English using the babel package.
writeLaTeX

Template guidelines for Canadian Journal of Economics
Template for submission to the Canadian Journal of Economics, based on the cje document class.
Source and further information for authors is available on the journal web site.
This template was originally published on ShareLaTeX and subsequently moved to Overleaf in November 2019.
Uploaded from ShareLaTeX

Article Format Thesis - Scuola di Ingegneria Industriale e dell'Informazione - Politecnico di Milano
LaTeX template for Master Theses (article format) of Scuola di Ingegneria Industriale e dell'Informazione - Politecnico di Milano.
S. Bonetti, A. Gruttadauria, G. Mescolini, A. Zingaro

2D Graphics with Asymptote
This example shows how you can use Asymptote on writeLaTeX. Asymptote is a powerful vector graphics language for technical drawings. Labels and equations are typeset with LaTeX, for high-quality output.
The Asymptote project.

Annual Reviews "Style 2" Template (Astronomy and Astrophysics)
This is Annual Reviews’ “Style 2” template (v1.0, April 2013) for the following journal:
Astronomy and Astrophysics
Annual Reviews

Comparing Adaptivity of Ants using NEAT and rtNEAT
Although individual ants have an extremely basic intelligence, and are completely incapable of surviving on their own, colonies of ants can develop remarkably sophisticated and biologically successful behavior. This paper discusses a set of experiments which attempt to simulate one of these behaviors, namely the ability of ants to place pheromones as a way of communication. These experiments involved a variety of different environments, and tested two varieties of the genetic algorithm NEAT: the standard offline version, and its online counterpart rtNEAT. Since the experimental environment did not seem to offer any benefit to continuous learning, we had expected NEAT and rtNEAT to have roughly similar learning curves. However, our results directly contradict this hypothesis, showing much more succesful learning with rtNEAT than with standard NEAT.
Mario Sanchez and Teo Gelles

RH Workshop Example 1
Riget Workshop example 1. Minimal document showing off text formatting
Timo Röder