Gallery — Recent
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.

FSU-MATH2300-Project2
A second project for Calculus 1 at Fitchburg State. Explore the proofs of some of the derivative rules and derive new rules from old.
Sarah Wright

HW-Assignment Template
LaTeX Template for my academic homework assignments. It has been created by using the fphw class.
Github link: https://github.com/rafisics/My_HW-Assignment_Template
Mubtasim Fuad

Harvard Data Science Review
A template for submissions to the HDSR
Ethan Cowan

IIT Patna BTP Thesis Template
The template for BTech Thesis submission for IIT Patna students.
Mohit Kishore

浙江大学学位论文模板 zjuthesis
本模板来源于https://github.com/TheNetAdmin/zjuthesis
具体使用说明参见 GitHub 主页,本Overleaf 模板不保证与 GitHub 模板同步更新,需要使用最新版本请参考 GitHub 主页。
Zixuan Wang

The Loewner Equation and the derivative of its solution
The Loewner Equation and the derivative of its solution
carrling

ACRA 2020 - Australasian Conference on Robotics and Automation
The preparation of these files was supported by Schlumberger Palo Alto
Research, AT&T Bell Laboratories, and Morgan Kaufmann Publishers.
Shirley Jowell, of Morgan Kaufmann Publishers, and Peter F.
Patel-Schneider, of AT&T Bell Laboratories collaborated on their
preparation. These instructions can be modified and used in other conferences as long
as credit to the authors and supporting agencies is retained, this notice
is not changed, and further modification or reuse is not restricted.
Neither Shirley Jowell nor Peter F. Patel-Schneider can be listed as
contacts for providing assistance without their prior permission.
To use for other conferences, change references to files and the
conference appropriate and use other authors, contacts, publishers, and
organizations.
Also change the deadline and address for returning papers and the length and
page charge instructions.
Put where the files are available in the appropriate places.
wafa johal

Improving the performance of medical CT image reconstruction on multicore processor
Image reconstruction is observed to be one of the most common problem because of it's large data movement and non-trivial data dependencies. In the past, these problems were tackled by many high performance hardware such as FPGA's and GPGPU's. This also reflects the investemts to be made in these supercomputers for real time reconstruction of clinical computed tomography (CT) applications. Medical imaging systems are employing high performance computing (HPC) technology to meet their time constraints. This paper presents different optimizations to the volume reconstruction and implement it on a commodity hardware such as x86 based multicore system. This paper chooses to perform its implementaion on Intel Xeon X5365 multicore processor. We perform different levels of parallelization and analyse each of them and report their results with respect to serial implementation. The objective of this paper is to understand the constraints of volume reconstruction in multicore architecture and optimize them while preserving the quality of the reconstructed image.
shiv

ICLS 2022 Template
Template for 16th International Congress on Logistics and SCM Systems
Krisanarach Nitisiri