Convex optimisation constitutes a fundamental area in applied mathematics where the objective is to identify the minimum of a convex function subject to a set of convex constraints. This framework ...
This Python library implements homotopy-based optimization methods designed to solve convex optimization problems, with a particular focus on semidefinite programs, hyperbolic programs, and convex ...
The advantages and limitations of quantum computing over classic computing have become clearer once again. PhD candidate Joran van Apeldoorn shows that a specific type of optimization problem can be ...
This repository holds all necessary data, including the identified model in form of a npy-file (numpy pickle) and the convex optimisation problem itself. The jupyter notebook loads all data and ...
Quantum process tomography is often used to completely characterize an unknown quantum process. However, it may lead to an unphysical process matrix, which will cause the loss of information with ...
Abstract: This paper presents a prediction-correction proximal method (PCPM) for the general non-smooth convex optimization problem with linear equality and inequality constraints. The proposed ...
Abstract: In this article, we provide a novel and broadly-applicable contraction-theoretic approach to continuous-time time-varying convex optimization. For any ...
Neel, Seth, Aaron Leon Roth, Giuseppe Vietri, and Zhiwei Steven Wu. "Oracle Efficient Private Non-Convex Optimization." Proceedings of the International Conference on Machine Learning (ICML) 37th ...
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