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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.

高校数学~大学基礎レベルの数学の問題集(解答付き) Simple math problem set with solution.

Template for use in the University of Iowa course MATH:3900 Introduction to Math Research.

Author: Jun He This file may be distributed and/or modified under the LaTeX Project Public License and/or under the GNU Public License.

Trigonométrie anti-sèche résumé de cours de seconde. Mini-livre 8 A7 sur un A4 recto. cheatsheet antiseche pocketmod minibook trig sin cos circle cercle

Þetta er sniðmát fyrir námskeiðið Samæfingar í stærðfræði, STÆ402G, vor 2017.

Geometry topics exercises

Gabarit pour le devoir 1 MAT-2903 : Thèmes mathématiques pour l'enseignement secondaire.

We describe computer experiments suggesting that there is an infinite family L of Riemann zeta cycles Λ of each size L = 1, 2, 3, ....
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