文章 — Recent
用 LaTeX 编写并由我们社区发布的论文、演示文稿、报告等。 在下面搜索或浏览。
![Yogesh Patil's CV](https://writelatex.s3.amazonaws.com/published_ver/10501.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T141858Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=15b886b26b7a2df7c3fcea4e8b5635f6bb1a569f8acd128cce2a28ca8082f48a)
Yogesh Patil's CV
Yogesh Patil's CV. Created with the AltaCV template.
Yogeshkumar Marathapatil
![A Deep Learning Solution for an Optimized Testbench Regression Launcher](https://writelatex.s3.amazonaws.com/published_ver/8508.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T141858Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=67f2cddecbce7c3647b230762e15b3ffc7cff33b26d3ce11200b1dc3da346eaf)
A Deep Learning Solution for an Optimized Testbench Regression Launcher
Attempt to define various metrics directly
related to coverage per compute second; an
improvement on which furthers the desired
left shift in design verification. A part to the solution to find breaks early
in a continuous integration system, qualifying
the design prior to important milestones and
iterating over recent bug fixes or changes to
weed out related issues is proposed.
Created with the Jacobs Landscape Poster
LaTeX Template
Version 1.0 (29/03/13)
Abhishek
![GOMOKU & Minimax-alphabeta search](https://writelatex.s3.amazonaws.com/published_ver/3374.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T141858Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=1e728b77e1f38ab08c7141d437de76ac71cbfae7f9a2e3aa27198bb9141731a0)
GOMOKU & Minimax-alphabeta search
Gomoku is an abstract strategy board game, also called Omok or Five in a Row. This paper explains the implementation of an AI with minimax alpha-beta search with a sequences pattern recognition.
Nikolai Shevchenko
![Nikita Moharir's Curriculum Vitae](https://writelatex.s3.amazonaws.com/published_ver/3180.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T141858Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=42423efcd939b4c76b0e3b93e42b912a2c7c42bc8e6fd0860595231336927d72)
Nikita Moharir's Curriculum Vitae
Nikita Moharir's Curriculum Vitae
Nikita Moharir
![Matrices](https://writelatex.s3.amazonaws.com/published_ver/7279.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T141858Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=de47f76016c5bb4724c16f887e327ef8e599057908e31a9b205179ad437ef3aa)
Matrices
En este documento se explican qué son las matrices, los distintos tipos que hay, algunas operaciones que se hacen con ellas con ellas (y sus respectivas propiedades), además de enseñar cómo realizar estas operaciones en programación. Incluye el concepto de relación binaria, y se explica cómo se pueden representar éstas (si son homogéneas) mediante grafos. y los distintos tipos de éstos últimos. Se recalca la "matriz jacobiana", explicando su función escalar y vectorial
Victoria
![Lagrange's Theorem](https://writelatex.s3.amazonaws.com/published_ver/3112.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T141858Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=30ce1900c16db69ea38df3e08335425cfe8a15f0e00c7ee9c4f2f7ab586db348)
Lagrange's Theorem
Lagrange's Theorem
Shateil French
![The Parallelization and Optimization of the N-Body Problem using OpenMP and Cuda](https://writelatex.s3.amazonaws.com/published_ver/7277.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T141858Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=2c05f28af4d233ba6df8f5aea2df0dd3685ae4ae3e018eb7eb9fac1df7dc11be)
The Parallelization and Optimization of the N-Body Problem using OpenMP and Cuda
This research paper aims at exploiting efficient ways of implementing the N-Body problem. The N-Body problem, in the field of physics, predicts the movements and planets and their gravitational interactions. In this paper, the efficient execution of heavy computational work through usage of different cores in CPU and GPU is looked into; achieved by integrating the OpenMP parallelization API and the Nvidia CUDA into the code. The paper also aims at performance analysis of various algorithms used to solve the same problem. This research not only aids as an alternative to complex simulations but also for bigger data that requires work distribution and computationally expensive procedures.
Tushaar Gangarapu
![Dissertation RAPIDMINER](https://writelatex.s3.amazonaws.com/published_ver/5232.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T141858Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=06a482f3ea8a728b3ac1ba5b7bf86d48d87b43ef4388fcb62ff197ced718074a)
Dissertation RAPIDMINER
Excerpt from main dissertation
Michelle Baltazar
![Dissertation LATEX](https://writelatex.s3.amazonaws.com/published_ver/5228.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T141858Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=cae2c457a7ecbdeb58aa537d68b24b2842eed5df29ec825608cf8a893054a3d6)
Dissertation LATEX
Excerpt from main dissertation
Michelle Baltazar