{overleaf template gallery}LaTeX templates and examples — Recent

This course information template is designed in Persian which helps instructors offer students all the information they need to know prior to or at the start of a course. این یک قالب درسی‌ است برای اساتید که اهداف درس، مواد درسی و کلیه اطلاعات مربوط به درس را در آن نوشته و قبل از شروع کلاسها یا در جلسه اول به دانشجویان تحویل دهند.

Ce document regroupe les codes TIKZ des figures utilisées pour le cours "Théorème du moment cinétique" situé à la page http://www.femto-physique.fr/mecanique/meca_C6.php

This document derives Kelly's rule for optimal bet sizing.

Laboratory Notes Template by Mikhail Klassen, April 2013, Contributions from Sarah Mount, May 2014. This version of the template is based on the tuft-latex class.

In this experiment I looked into a way fo measuring the ground bounce generated by capacitively loading 5 outputs of a Texas Instrument small outline package Hex-Flip Flop chip and discharging them all simultaneously.

Poster based on Dreuw & Deselaer's Poster LaTeX Template (http://www-i6.informatik.rwth-aachen.de/~dreuw/latexbeamerposter.php) and downloaded from http://www.LaTeXTemplates.com.

Этот шаблон документа разработан в 2014 году Данилом Фёдоровых (danil@fedorovykh.ru) для использования в курсе «Документы и презентации в \LaTeX», записанном НИУ ВШЭ для Coursera.org: http://coursera.org/course/latex. Исходная версия шаблона — https://www.writelatex.com/coursera/latex/5.2.2

Этот шаблон документа разработан в 2014 году Данилом Фёдоровых (danil@fedorovykh.ru) для использования в курсе «Документы и презентации в \LaTeX», записанном НИУ ВШЭ для Coursera.org: http://coursera.org/course/latex. Исходная версия шаблона — https://www.writelatex.com/coursera/latex/4.2

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.