The goal of this project is to explore and compare the different methods of solving optmal control problems in physical systems
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Updated
Aug 8, 2024 - Jupyter Notebook
The goal of this project is to explore and compare the different methods of solving optmal control problems in physical systems
Geodesic on Sphere Visualization
Differentiable Tensors based on NumPy Arrays
In this paper, we focus on a specific problem related to the calculus of variations, which deals with finding the Lagrangian function that, when used in the Euler-Lagrange equation, produces a given differential equation
Lecture notes for an introductory course on calculus of variations
Project code for my fourth year capstone project: Region Tracking in an Image Sequence.
Project on solving the Calculus of variations problems using symbolic mathematics (2018).
Calculus Guide
Python Math library for Matrix and Polynomial manipulation extending to the complex plane
Codes for the course ENGN 2020
Aplicativo do projeto de aplicação de derivadas da disciplina Cálculo diferencial e integral I do curso de Sistemas de Informação na Universidade de Pernambuco.
Approximation algorithm to solve Optimal Control problems using the Adjoint Method. Assumes your controller is based on a parametric model. Uses Forward-Backward-Sweep adjoint method.
Tensorflow is not only for deep learning. It can let tensor flow.
The Structure and Interpretation of Classical Mechanics
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