Results 61 to 70 of about 21,778 (301)
An exact penalty function method with global convergence properties for nonlinear programming problems [PDF]
In this paper a new continuously differentiable exact penalty function is introduced for the solution of nonlinear programming problems with compact feasible set.
DI PILLO, Gianni, GRIPPO, Luigi
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ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro +14 more
wiley +1 more source
Objective This research article aims to describe the prevalence, associations, and health‐related quality of life (HRQoL) impact of mucocutaneous features of systemic lupus erythematosus (SLE). Methods Data from the Asia‐Pacific Lupus Collaboration cohort were analyzed (2013–2021).
Amanda M. Saracino +42 more
wiley +1 more source
A UV-Method for a Class of Constrained Minimized Problems of Maximum Eigenvalue Functions
In this paper, we apply the UV-algorithm to solve the constrained minimization problem of a maximum eigenvalue function which is the composite function of an affine matrix-valued mapping and its maximum eigenvalue.
Wei Wang +3 more
doaj +1 more source
An objective penalty function method for nonlinear programming [PDF]
In this paper, we propose a novel objective penalty function for inequality constrained optimization problems. The objective penalty function differs from any existing penalty function and also has two desired features: exactness and smoothness if the ...
Hu, Qiying +7 more
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Objective Obesity, defined by body mass index (BMI) ≥30 kg/m2, is a risk factor for functional limitations in people with knee osteoarthritis (OA). However, function varies among such individuals. Our objective was to evaluate the implications of obesity subtypes on longitudinal patterns of physical functioning in people with or at risk for knee OA ...
Kristine Godziuk +7 more
wiley +1 more source
The paper presents a posteriori error approximation concept based on residuals in the two-dimensional discontinuous Galerkin (DG) method. The approach is relatively simple and effective in application, and it takes advantage of some unique properties of ...
Jan Jaśkowiec, Jerzy Pamin
doaj +1 more source
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Irregularly Shaped Cluster Detection Using a CPSO Distribution-Free Spatial Scan Statistic
Classical spatial scan statistics are based on pre-defined shapes for scanning windows and specific distribution models and are used to detect latent cluster(s).
Zhongliang Fu +3 more
doaj +1 more source
The Exact l1 Penalty Function Method for Constrained Nonsmooth Invex Optimization Problems [PDF]
Part 7: Applications and Control of Lumped Parameter SystemsInternational audienceThe exactness of the penalization for the exact l1 penalty function method used for solving nonsmooth constrained optimization problems with both inequality and equality ...
Antczak, Tadeusz
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