{overleaf template gallery}LaTeX templates — Recent

Template para a apresentação dos trabalhos da II Mostra IC de Matemática da Universidade Federal de Ouro Preto.

Vorlage für Abschlussarbeiten am Fachgebiet Energieverfahrenstechnik und Umwandlungstechniken regenerativer Energien der Technischen Universität Berlin. Template to write your thesis at the Chair of Energy Process Engineering and Conversion Technologies for Renewable Energies, Berlin Institute of Technology.

This template contains details on how to prepare and submit your articles for publication in The Publications of the Astronomical Society of the Pacific. It is a modified version of the sample701.tex template from The American Astronomical Society (AAS) markup package. The latest LaTeX classfile is AASTeX v7.0.1 and it can be obtained here. The PASPsample701.tex template uses this classfile. Once your manuscript is complete, please visit this page to submit your manuscript: https://mc04.manuscriptcentral.com/pasp.

Una planatilla que sirve para la documentación de reportes, tareas, proyectos, artículos, etc. con varios paquetes añadidos que son los que he ido usando para: agregar imagenes flotantes o en un punto en específico, tablas pequeñas con texto a un costado y tablas grandes, añadir pdfs, hacer gráficas con tikz, etc, y varias cosas más en latex

Official Thesis/Dissertation (Major, Minor, etc.) LaTeX template for all students (BS-MS/MSc/PhD/IPhD) of all backgrounds (PCMB) under Indian Institute of Science Education and Research Thiruvananthapuram. Direct all queries and suggestions to : nikhil.alexv17@alumni.iisertvm.ac.in

CITIS

版本号：4.1.1.2025，开源地址（长期实时更新）： github：yuhldr/LZUThesis2020 gitee：yuhldr/LZUThesis2020

Cover sheet for self-archiving of research publications, to be deposited in an open access repository. The template is provided by the Open Access team at TU Berlin University Library. It is intended to be used by members of TU Berlin. With the exception of the TU Berlin logo, the template can be reused without restrictions.

C8.2: Stochastic analysis and PDEs