Results 101 to 110 of about 184,320 (288)
Toward Solution‐Time Advantage With Error‐Mitigated Quantum Annealing for Combinatorial Optimization
This paper presents a novel error mitigation technique to address the qubit errors that occur when solving combinatorial optimization problems with quantum annealing. The approach significantly speeds up the computation to reach the global optimum solution for a correlated 3D image segmentation model for material microstructures, demonstrating a ...
Yushuang Sam Yang +3 more
wiley +1 more source
This paper analyses the solution of a specific quadratic sub-problem, along with its possible applications, within both constrained and unconstrained Nonlinear Programming frameworks.
Giovanni Fasano +2 more
doaj +1 more source
This research innovatively illustrates baicalin’s multifaceted mechanisms in enhancing piglets’ intestinal health: modulating bile acid metabolism via probiotics, reinforcing tight junction proteins (ZO‐1/claudin), suppressing TLR4/NF‐κB‐mediated inflammation, whereas promoting growth and reducing diarrhea.
Yuhui Gao +6 more
wiley +1 more source
Portfolio optimization using particle swarm optimization method [PDF]
The Markowitz’s optimization problem is considered as a standard quadratic programming problem that has exact mathematical solutions. Considering real world limits and conditions, the portfolio optimization problem is a mixed quadratic and integer ...
Reza Raei, Hedayat Alibeiki
doaj
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
A decomposition method for structured quadratic programming problems
AbstractThis paper describes a decomposition method for large structured quadratic maximization problems. The method can be applied to problems which contain coupling constraints or coupling variables occurring in the objective function.
openaire +2 more sources
Abstract The linear‐quadratic regulator (LQR) problem of optimal control of an uncertain discrete‐time linear system (DTLS) is revisited in this paper from the perspective of Tikhonov regularization. We show that an optimally chosen regularization parameter reduces, compared to the classical LQR, the values of a scalar error function, as well as the ...
Fernando Pazos, Amit Bhaya
wiley +1 more source
ABSTRACT Disruptive behaviors (non‐compliance, aggression) are common in autistic children. Parent–Child Interaction Therapy (PCIT) is a caregiver‐mediated intervention utilizing in vivo caregiver coaching that reduces disruptive behaviors and has been shown to be effective for young autistic children.
Catherine A. Burrows +7 more
wiley +1 more source
Using the positive transmission way of modified gear,a mathematical optimization model of the encased differential herringbone gear transmission system is set up by taking the lightest gear weight of this transmission system as the optimization objective.
朱增宝, 朱如鹏, 尹敏
doaj
Abstract Overfoaming remains a critical challenge in industrial bioprocesses, compromising mass transfer, operational stability, and downstream efficiency in bioreactors and wastewater treatment systems. This study provides a bibliometric and scientometric assessment of nanoparticle‐enabled foam control to map technological trends and identify research
Antonio Átila Menezes Ferreira +6 more
wiley +1 more source

