Start your projects with quality LaTeX templates for journals, CVs, resumes, papers, presentations, assignments, letters, project reports, and more. Search or browse below.
Elsevier’s CAS LaTeX Single-Column Template
cas-sc.cls and cas-dc.cls are the two new class files created
for typesetting Elsevier's journal articles which go through
Complex Article Service (CAS) workflow. These are now accepted for
submitting articles, both in Elsevier's electronic submission system
Bugs and problems with elsarticle.cls may be reported to the
developers of the class via email@example.com.
License: The LaTeX Project Public License 1.2
USA STEM CV
This template has been adapted from the YAAC template created by Christophe Roger (Darwiin). The further edits were made to make a more academic CV by USA standards include letter size and various sections.
Template Math Formulas and Equations
This template is an example of mathematics for business which explains how to clear the formula of increase (increase) and decrease (decrease) percentage to find the price increased or the price decreased given the initial price and the percentage increase and decrease.
Template for Data Descriptor submissions to Scientific Data
This is a manuscript template for Data Descriptor submissions to Scientific Data.
Scientific Data is an open-access, peer-reviewed publication for descriptions of scientifically valuable datasets. Their primary article-type, the Data Descriptor, is designed to make your data more discoverable, interpretable and reusable.
This template is provided by Scientific Data and Overleaf to make it easier for you and your co-authors to write your papers collaboratively online.
Once your Data Descriptor article is complete, you can submit directly to the Scientific Data editorial team from within Overleaf with just a couple of clicks.
To start writing your paper simply click the 'Open as Template' button above, and if you have any questions please get in touch. Prospective authors may also contact the journal at firstname.lastname@example.org.
Scientific Data (Nature Publishing Group)
The following project is in the field of combinatorics. It is a broad summary of the probabilistic method. Basic definitions and theorems, needed for the proper use of the probabilistic method, are introduced. Simple examples are provided in order to illustrate the theory in practice and to introduce the method itself. The project focuses on competitive problems from major national and international competitions, in whose solutions could be used probabilistic method, contributing to their briefness. One of our main aims is demonstrating the broad application of the probabilistic method not only in some theoretical fields of mathematics, but also in competitive problems. The problems in the abstract are with increased difficulty and we believe, they can serve as a preparation for mathematical olympiads and competititons.