Trending Research
acados: a modular open-source framework for fast embedded optimal control
The acados software package is a collection of solvers for fast embedded optimization, intended for fast embedded applications.
Optimization and Control
On the Differentiability of the Primal-Dual Interior-Point Method
kevin-tracy/qpax
•
•
Primal-Dual Interior-Point methods are capable of solving constrained convex optimization problems to tight tolerances in a fast and robust manner.
Optimization and Control
Control of Complex Maneuvers for a Quadrotor UAV using Geometric Methods on SE(3)
ntnu-arl/aerial_gym_simulator
•
•
The flight maneuvers are defined by a concatenation of flight modes or primitives, each of which is achieved by a nonlinear controller that solves an output tracking problem.
Optimization and Control Systems and Control
Gromov-Wasserstein Distances between Gaussian Distributions
MaximeVandegar/Papers-in-100-Lines-of-Code
•
•
We also study the problem without restriction on the optimal plan, and provide lower and upper bounds for the value of the Gromov-Wasserstein distance between Gaussian distributions.
Probability
Solving N-player dynamic routing games with congestion: a mean field approach
The recent emergence of navigational tools has changed traffic patterns and has now enabled new types of congestion-aware routing control like dynamic road pricing.
Dynamical Systems Systems and Control Systems and Control Optimization and Control
Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries
pku-cmegroup/neuraloperator
•
•
Surrogate models are critical for accelerating computationally expensive simulations in science and engineering, particularly for solving parametric partial differential equations (PDEs).
Numerical Analysis Numerical Analysis
A Primal Decomposition Algorithm for the Two-dimensional Bin Packing Problem
The Two-dimensional Bin Packing Problem calls for packing a set of rectangular items into a minimal set of larger rectangular bins.
Optimization and Control Data Structures and Algorithms Combinatorics
Learning-based Rigid Tube Model Predictive Control
This paper is concerned with model predictive control (MPC) of discrete-time linear systems subject to bounded additive disturbance and mixed constraints on the state and input, whereas the true disturbance set is unknown.
Optimization and Control Systems and Control Systems and Control
Implementing Hadamard Matrices in SageMath
The Hadamard conjecture states that Hadamard matrices of order $n$ exist whenever $n$ is $1$, $2$, or a multiple of $4$.
Combinatorics
cuPDLP-C: A Strengthened Implementation of cuPDLP for Linear Programming by C language
However, due to limitations in experimental hardware and the disadvantage of implementing the algorithm in Julia compared to C language, neither the commercial solver nor cuPDLP reached their maximum efficiency.
Optimization and Control
