Results 71 to 80 of about 616,628 (303)
[Objectives] In order to further improve the vibration characteristics of traditional constrained damping structures, the optimized design of an improved constrained stand-off layer damping structure with engineering application value is carried out ...
YI Shaoqiang, HE Shiping, WANG Jie
doaj
Population Feasibility State Guided Autonomous Constrained Multi-Objective Evolutionary Optimization
Many practical problems can be classified as constrained multi-objective optimization problems. Although various methods have been proposed for solving constrained multi-objective optimization problems, there is still a lack of research considering the ...
Mingcheng Zuo, Yuan Xue
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A limited memory BFGS subspace algorithm for bound constrained nonsmooth problems
The subspace technique has been widely used to solve unconstrained/constrained optimization problems and there exist many results that have been obtained. In this paper, a subspace algorithm combining with limited memory BFGS update is proposed for large-
Xiangrong Li
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Convex Optimization for Linear Query Processing under Approximate Differential Privacy
Differential privacy enables organizations to collect accurate aggregates over sensitive data with strong, rigorous guarantees on individuals' privacy. Previous work has found that under differential privacy, computing multiple correlated aggregates as a
Hao, Zhifeng +3 more
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Equilibrium constrained optimization problems [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Birbil, Ş. İlker +3 more
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ABSTRACT Objectives WHO grade 4 astrocytomas are associated with poor prognosis, and their prognostic factors remain controversial. This study aimed to identify the prognostic factors and develop a management algorithm for these patients. Methods This study retrospectively included 151 CNS5 adult grade 4 astrocytomas from two medical centers.
Jiawei Cai +13 more
wiley +1 more source
Multilevel quasiseparable matrices in PDE-constrained optimization [PDF]
Optimization problems with constraints in the form of a partial differential equation arise frequently in the process of engineering design. The discretization of PDE-constrained optimization problems results in large-scale linear systems of saddle-point
Gondzio, Jacek, Zhlobich, Pavel
core +1 more source
Greedy sparsity-constrained optimization [PDF]
Sparsity-constrained optimization has wide applicability in machine learning, statistics, and signal processing problems such as feature selection and compressive Sensing. A vast body of work has studied the sparsity-constrained optimization from theoretical, algorithmic, and application aspects in the context of sparse estimation in linear models ...
Bahmani, Sohail +2 more
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Advanced IoT Network Topologies to Optimize Medical Monitoring Platforms based on a Constrained and Secured IOT Application Protocol CoAP [PDF]
Fatima Zahra Hamza +5 more
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Objective The aim of this systematic review was to synthesize the economic impact of rheumatoid arthritis (RA) on households, health systems, and society in low‐ and middle‐income countries (LMICs). Methods Electronic databases such as PubMed, Web of Science, and CINAHL were searched using keywords related to RA and cost of illness.
Tadesse Gebrye +6 more
wiley +1 more source

