Gallery Items tagged Math
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![Fundamentals of Signal Enhancement and Array Signal Processing Solution Manual (section 10)](https://writelatex.s3.amazonaws.com/published_ver/10600.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211205Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=5561d747aa46b8c95d4c4a79fa1f797fa42358567eb0d6b28afad87f111920e7)
Fundamentals of Signal Enhancement and Array Signal Processing Solution Manual (section 10)
section 10
lidor malul
![2022年第七届数维杯数学建模](https://writelatex.s3.amazonaws.com/published_ver/24188.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211205Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=fc991a758367047cd535388cc2ee845e265b5546073da364905e8ce445574ac4)
2022年第七届数维杯数学建模
2022年第七届数维杯数学建模
维杯数学建模组委会
![PUC-Rio Optimization 2019.1](https://writelatex.s3.amazonaws.com/published_ver/9628.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211205Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=8538bd2995213af57433b2b3b354cef667a5d19666f99886c62d6c36e7b18036)
PUC-Rio Optimization 2019.1
Template to use in PUC-Rio Optimization course 2019.1
Guilherme Bodin and Joaquim Garcia
![TIPE brachistochrone](https://writelatex.s3.amazonaws.com/published_ver/8543.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211205Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=73422cec7e4c1236f5333ff907343f87309721d2af55528cf4c62d8776b8a848)
TIPE brachistochrone
On découpe ce document complexe en plusieurs sous-fichiers séparés.
Cela permettra notamment de réarranger les transparents facilement
lors de l'élaboration du document.
louis
![Logarithms](https://writelatex.s3.amazonaws.com/published_ver/1902.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211205Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=b7662482231a069dbbfdcff50a99f2881370729f31b7af85a5a378ec487420a0)
Logarithms
My guide to logarithms.
Rithwik Palivela
![Math 53 Homework template](https://writelatex.s3.amazonaws.com/published_ver/7950.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211205Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=93509727113e43a33cf507acb69e4ef53abd23dc45d3f0069ebccff536ef9cf6)
Math 53 Homework template
For math 53 homework
Jupiter Zhu
![Barebones PSET Template](https://writelatex.s3.amazonaws.com/published_ver/1884.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211205Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=f3d85725c6b7225fa5097d9c92125e0d99a69f09cc3074de43e33ab0a14c5753)
Barebones PSET Template
A (minimal) template for problem sets and solutions using the exam document class
Organization:
Define new commands, macros, etc. in macros.tex
Anything that you would put before \begin{document} should go in prelude.tex
Jack Gallagher
![Plantilla de Trabajo Prácico UTN FRRo](https://writelatex.s3.amazonaws.com/published_ver/8271.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211205Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=c9ffa81c8ce5b66694bb5f0b16932e46e440c0c55f934c07ff4f15d2e42060e2)
Plantilla de Trabajo Prácico UTN FRRo
Esta es una plantilla utilizada para la presentación de trabajos prácticos, cuenta con elementos predefinidos y distintas secciones. Originalmente fue diseñana para la cátedra de Simulación de Ingeniería en Sistemas pero se puede utilizar para cualquier otra cátedra
Ezequiel Leonardo Castaño
![Robot localization in a mapped environment using Adaptive Monte Carlo algorithm](https://writelatex.s3.amazonaws.com/published_ver/8266.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240630T211205Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=40b027c82b0ea4cfa1cb32a967d5ece9f3314524975b75d6af88e872c6bf3829)
Robot localization in a mapped environment using Adaptive Monte Carlo algorithm
Localization is the challenge of determining the robot's pose in a mapped environment. This is done by implementing a probabilistic algorithm to filter noisy sensor measurements and track the robot's position and orientation. This paper focuses on localizing a robot in a known mapped environment using Adaptive Monte Carlo Localization or Particle Filters method and send it to a goal state. ROS, Gazebo and RViz were used as the tools of the trade to simulate the environment and programming two robots for performing localization.
Sagarnil Das