Zobrazeno 1 - 10
of 8 819
pro vyhledávání: '"Audet, A."'
Autor:
Audet-Beaumont, Samuel
We construct surfaces with arbitrarily large multiplicity for their first non-zero Steklov eigenvalue. The proof is based on a technique by M. Burger and B. Colbois originally used to prove a similar result for the Laplacian spectrum. We start by con
Externí odkaz:
http://arxiv.org/abs/2412.07692
Bistable mechanical systems exhibit two stable configurations where the elastic energy is locally minimized. To realize such systems, origami techniques have been proposed as a versatile platform to design deployable structures with both compact and
Externí odkaz:
http://arxiv.org/abs/2408.15147
This work introduces a partitioned optimization framework (POf) to ease the solving process for optimization problems for which fixing some variables to a tunable value removes some difficulties. The variables space may be continuously partitioned in
Externí odkaz:
http://arxiv.org/abs/2407.05046
Autor:
Andrés-Thió, Nicolau, Audet, Charles, Diago, Miguel, Gheribi, Aimen E., Digabel, Sébastien Le, Lebeuf, Xavier, Garneau, Mathieu Lemyre, Tribes, Christophe
This work introduces solar, a collection of ten optimization problem instances for benchmarking blackbox optimization solvers. The instances present different design aspects of a concentrated solar power plant simulated by blackbox numerical models.
Externí odkaz:
http://arxiv.org/abs/2406.00140
Heterogeneous datasets emerge in various machine learning and optimization applications that feature different input sources, types or formats. Most models or methods do not natively tackle heterogeneity. Hence, such datasets are often partitioned in
Externí odkaz:
http://arxiv.org/abs/2405.13073
The cosine measure was introduced in 2003 to quantify the richness of a finite positive spanning sets of directions in the context of derivative-free directional methods. A positive spanning set is a set of vectors whose nonnegative linear combinatio
Externí odkaz:
http://arxiv.org/abs/2401.09609
This paper introduces a new step to the Direct Search Method (DSM) to strengthen its convergence analysis. By design, this so-called covering step may ensure that for all refined points of the sequence of incumbent solutions generated by the resultin
Externí odkaz:
http://arxiv.org/abs/2401.07097
Autor:
Ruiz, Javier, Jiménez-Díaz, Alberto, Egea-González, Isabel, Romeo, Ignacio, Kirby, Jon F., Audet, Pascal
The absence of plate tectonics and the young surface age (0.3-1 billion years) of Venus have led to diverse geodynamic models for Venus. The energetics of the Venusian interior drive these models; however, the lack of direct constraints on surface he
Externí odkaz:
http://arxiv.org/abs/2401.06558
This work introduces a novel blackbox optimization algorithm for computationally expensive constrained multi-fidelity problems. When applying a direct search method to such problems, the scarcity of feasible points may lead to numerous costly evaluat
Externí odkaz:
http://arxiv.org/abs/2312.13128
This paper addresses risk averse constrained optimization problems where the objective and constraint functions can only be computed by a blackbox subject to unknown uncertainties. To handle mixed aleatory/epistemic uncertainties, the problem is tran
Externí odkaz:
http://arxiv.org/abs/2310.11380