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=20240630T211556Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=7fd6fb749865bbf11d8729740e11f493fdba6686aff15886f5996bb7032fa06d)
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=20240630T211556Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=4a38c5c5e42cad991e528404edfa374cf1429e5c8c395863914a04fd60bad4c8)
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=20240630T211556Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=f6a44f93d202aa26f0453147795508a203553cd99ac9469757d8000b806e7470)
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=20240630T211556Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=d95ee87d43a6ec50852c0db244db4a3a063c320f6b982d97117106c6fbd1d5a2)
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=20240630T211556Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=67a5865b02db354720a4eea09a17ff4eab36af0fd7f1eb55403902819a6c6b90)
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=20240630T211556Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=8250c9a9daa950b90681718b358dbadba850d6945784fbc25eda7ad620bea442)
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=20240630T211556Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=462dc03f8010760a22ca418a8f0f579dd3f3a8702a8ed6cd09b572c06a894664)
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=20240630T211556Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=f408aa4494fca47a14de4268e8b4ed40b0583f3b0aff7e79b0b603c0a34c6b16)
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=20240630T211556Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240630/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=89f36e688499cac1943831acc1389b3834c973d1aca6cdd7c40a6e3381327289)
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