Factor graph optimization serves as a fundamental framework for robotic perception, enabling applications such as pose estimation, simultaneous localization and mapping (SLAM), structure-from-motion ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: Integer programming with block structures has received considerable attention recently and is widely used in many practical applications such as train timetabling and vehicle routing ...

We propose implementing the Augmented Lagrangian Method (ALM) in OMMX. This implementation will be designed as a transformation from ommx.v1.Instance to ParametricInstance. $$ \begin{align*} \min_{x} ...

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.

Studying reactive flows in porous media is essential to manage the geochemical effects arising from capture and storage in natural underground reservoirs. While long-term predictions are commonly ...

This talk presents and analyzes a novel nonlinear inner accelerated inexact proximal augmented Lagrangian (NL-IAIPAL) method for solving smooth nonconvex composite optimization problems with nonlinear ...

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