Results 91 to 100 of about 5,958,127 (312)
Monotonicity of optimized quantum $f$-divergence [PDF]
arXiv, 2021 Optimized quantum $f$-divergence was first introduced by Wilde in \cite{Wil18}. Wilde raised the question of whether the monotonicity of optimized quantum $f$-divergence can be generalized to maps that are not quantum channels. We answer this question by generalizing the monotonicity of optimized quantum $f$-divergences to positive trace preserving ...
arxiv
Advanced Engineering Materials, EarlyView.This study examines the mechanical properties of triply periodic minimal surfaces (TPMS)‐based lattices, analyzing 36 architectures in elastic and plastic regimes. It evaluates the applicability of beam‐based scaling laws to TPMS lattices. Rigidity arises from the alignment of members with the load direction and solid regions preventing rotation.
Lucía Doyle +2 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat +6 more
wiley +1 more source
New sharp necessary optimality conditions for mathematical programs with equilibrium constraints [PDF]
arXiv, 2019 In this paper, we study the mathematical program with equilibrium constraints (MPEC) formulated as a mathematical program with a parametric generalized equation involving the regular normal cone. We derive a new necessary optimality condition which is sharper than the usual M-stationary condition and is applicable even when no constraint qualifications
arxiv
Advanced Engineering Materials, EarlyView.This study presents rapid evaluation methods for scan strategies in powder bed fusion (PBF) of polymers with a NIR laser as an example for its application. It uses line buffer‐based calculations and point density fields to predict the performance of four different scan strategies. The methods show promising results in laser‐based PBF of polymer samples,
Simon Leupold +9 more
wiley +1 more source
Predicting Feynman periods in ϕ 4-theory
Journal of High Energy PhysicsWe present efficient data-driven approaches to predict the value of subdivergence-free Feynman integrals (Feynman periods) in ϕ 4-theory from properties of the underlying Feynman graphs, based on a statistical examination of almost 2 million graphs.
Paul-Hermann Balduf, Kimia Shaban
doaj +1 more source
Mathematics, 2020 Power-electronics based converters are essential circuits in renewable energy applications such as electricity generated with photovoltaic panels. The research on the field is getting increasing attention due to climate change problems and their possible
Alma Rodríguez +4 more
doaj +1 more source
Mathematical Optimizations for Deep Learning
, 2018 Deep neural networks are often computationally expensive, during both the training stage and inference stage. Training is always expensive, because back-propagation requires high-precision floating-point multiplication and addition. However, various mathematical optimizations may be employed to reduce the computational cost of inference.
Çetin Kaya Koç +3 more
openaire +4 more sources
Optimization of Cycle Paths with Mathematical Programming
Transportation Research Procedia, 2014 The authors would like to acknowledge the financial support provided by the Spanish Ministry of Economía y Competitividad in project TRA2012-39466-C02-02.
Maria Bordagaray +4 more
openaire +3 more sources
Advanced Engineering Materials, EarlyView.Controlling the size and distribution of dispersoids is essential for optimizing the performance of oxide‐dispersion‐strengthened steels. This study focuses on nanoparticle dispersion and agglomeration during laser additive manufacturing of Fe20Cr alloy reinforced with ZrO 2 nanoparticles. Utilizing multiphysics phase‐field simulations and nanoparticle
Somnath Bharech +6 more
wiley +1 more source