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=20240630T211136Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=35f50aa6195eab07944b7fe2205857c98bf960f8201a05125f307ab0ab7c096a)
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=20240630T211136Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=04282a11c5bdf39b5ec38f5ae13b9a5b658065b155cde20b97165dc4031cff9a)
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=20240630T211136Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=76fdeb6137aba7af685cfe34e2d6d481e9b7e64cc7db3d4db5df15484f53bb82)
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=20240630T211136Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=703df8d1417f80358318ce1d1ea1456c94b303d2ff20583b46d0180d621e4117)
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=20240630T211136Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=e06cf128c8485a1a92b0b66eab8c3abb3b2e366d7dac6680260475e695e2764c)
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=20240630T211136Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=40553d380498df223063094896d06d916c8d1f0849d6bbabdbcaa4b4850432f6)
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=20240630T211136Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=79613a21ea80938c1237e71a03ca985ee81e17dc8cb89594f31a4c7d57eb8140)
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=20240630T211136Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=1c3a462e98030a7d7f07484f42c9cbf94aeed67c0d342fe037b08154972725a1)
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=20240630T211136Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=1ee5307ab2c197a2dba6c7427fe5b45a39928fea8dc09edec226fd93ebf06e18)
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