Abstract: This article proposes a unified consensus algorithm with predefined-time convergence aimed at solving time-varying optimization problems based on multiagent systems under connected and ...
Abstract: This article investigates distributed finite-time optimization problems for first-order multi-agent systems (MASs) with time-varying cost functions under arbitrary strongly connected ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
This paper proposes a family of line-search methods to deal with weighted orthogonal procrustes problems. In particular, the proposed family uses a search direction based on a convex combination ...
1 Département de Physique, Faculté des Sciences, Université du Burundi, Bujumbura, Burundi. 2 Software Engineering, College of Software, Nankai University, Tianjin, China. 3 Faculté des Sciences de ...
Dynamiqs is a Python library for GPU-accelerated and differentiable quantum simulations. Solvers are available for the Schrödinger equation, the Lindblad master equation, the stochastic master ...
One key ingredient in deep learning is the stochastic gradient descent (SGD) algorithm, which allows neural nets to find generalizable solutions at flat minima of the high-dimensional loss function.
Continuous data ("regression"): quadratic loss (L2 loss), absolute error (L1 loss), Huber loss, quantile regression loss, Gamma regression loss, negative Gaussian log ...
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