Results 111 to 120 of about 111,305 (313)
Precedence‐Constrained Shortest Path
Networks, EarlyView.ABSTRACT We propose a variant of the shortest path problem where the order in which vertices occur in the path is subject to precedence constraints. Precedence constraints are defined in terms of vertex pairs (a,b)$$ \left(a,b\right) $$ which indicate that a vertex a$$ a $$ is the predecessor of a vertex b$$ b $$.
Christina Büsing +2 more
wiley +1 more source
A family of hybrid conjugate gradient methods for unconstrained optimization [PDF]
, 2003 Yu‐Hong Dai
openalex +1 more source
PsyCh Journal, EarlyView.ABSTRACT This study explores the mental health implications of people‐pleasing behaviors by validating the 24‐item Chinese People‐Pleasing (CPP) questionnaire with a sample of 2203 Chinese university students. A three‐factor structure—comprising thought, behavior, and feeling dimensions—was confirmed after the removal of 11 items.
Xiaoxue Kuang +4 more
wiley +1 more source
Second-order mollified derivatives and optimization [PDF]
The class of strongly semicontinuous functions is considered. For these functions the notion of mollified derivatives, introduced by Ermoliev, Norkin and Wets, is extended to the second order.
Crespi Giovanni +2 more
core
Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning
Advanced Quantum Technologies, EarlyView.The use of QML in the realm of nuclear physics at low energy is almost nonexistent. Three examples of the use of quantum computing and quantum machine in nuclear physics are presented: the determination of the phase/shape in nuclear models, the calculation of the ground state energy, and the identification of particles in nuclear physics experiments ...
José‐Enrique García‐Ramos +4 more
wiley +1 more source
Hybrid Beamforming Design on Riemannian Manifolds for Wideband MIMO Systems
IEEE AccessThis paper proposes a novel, unified approach to design both radio frequency (RF) and baseband beamforming (BF) solutions for wideband hybrid multiple-input multiple-output (MIMO) systems using the Riemannian manifold optimization. The proposed two-stage
Hyunwoo Nam, Girim Kwon, Hyuncheol Park
doaj +1 more source
Results in Control and Optimization, 2022 The aim of this work is to establish the optimality conditions of an unconstrained interval optimization problem in parametric form. For this purpose, a new definition of interval order relation is proposed.
Md Sadikur Rahman
doaj
New Inexact Line Search Method for Unconstrained Optimization [PDF]
, 2005 Zhen-Jun Shi, Jie Shen
openalex +1 more source
Statistical Complexity of Quantum Learning
Advanced Quantum Technologies, EarlyView.The statistical performance of quantum learning is investigated as a function of the number of training data N$N$, and of the number of copies available for each quantum state in the training and testing data sets, respectively S$S$ and V$V$. Indeed, the biggest difference in quantum learning comes from the destructive nature of quantum measurements ...
Leonardo Banchi +3 more
wiley +1 more source
The role of identification in data‐driven policy iteration: A system theoretic study
International Journal of Robust and Nonlinear Control, EarlyView.Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley +1 more source