Galleri — Math
Gallerigenstande tagget Math
Seneste
![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=20240630T211911Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=de6af0e0c566e88251341fdcc8ee2e2f67a3dc191e2dd2f1e9601d5882736a55)
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=20240630T211911Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=8c953aea7deb739199dc879121054001771529e5c8fca718c4c68dee2c80a058)
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=20240630T211911Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=86a2bc7ff043513c51402c019eff0b129a520ec4218f90b8a5662771740e0869)
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=20240630T211911Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=da2f9ecb07c4ad132de48a253235a4c9fd30e026f65f23559cf3536070760b1e)
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=20240630T211911Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=c3e8687533b85d5d74d3121918ee14b5f3b02016ddaf73c8452daa8dc117ed73)
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=20240630T211911Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=7eae17f6d523ea25327db0c458bc2224d17f5e57d992009feab63f44bee9f3f0)
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=20240630T211911Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=7f22ac22539cb25c13578d04d00ac83a83c6a43eb2471d27ce7a5204048c271d)
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=20240630T211911Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=ce107aab1e844a30b66d581898c64db46a5fa97e304685a9ac615d492152f18d)
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=20240630T211911Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=83a66392c8fa6883bf8a1354f2f46e52984b8d78f8f997cc1c26d40c4b940403)
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