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Energy-Efficient Hierarchical Federated Learning in UAV Networks with Partial AI Model Upload Under Non-Convex Loss. [PDF]

Sensors (Basel)
Li H, Wang S, Du Y, Li R, Fan X, Luo C.
europepmc   +1 more source

Who Reports Greater Chronic Disease Risk Behaviours? A Closer Look at Sociodemographic Differences Among Australian Adolescents: A Cross-Sectional Analysis. [PDF]

Health Promot J Austr
Egan L, Siobhan O'Dean, Gardner LA, Newton NC, Champion KE.   +4 more
europepmc   +1 more source

PEtab.jl: Advancing the Efficiency and Utility of Dynamic Modelling

Persson S, Fröhlich F, Grein S, Loman T, Ognissanti D, Hasselgren V, Hasenauer J, Cvijovic M.   +7 more
europepmc   +1 more source

Johari-Goldstein relaxation in quenched and irradiated chalcogenide glasses.

Newton
Baglioni J, Martinelli A, Sun P, Dallari F, Piemontese L, Umair M, Westermeier F, Sprung M, Monaco G.   +8 more
europepmc   +1 more source

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A Full-Newton Step Interior-Point Method for Monotone Weighted Linear Complementarity Problems

Journal of Optimization Theory and Applications, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Asadi, Soodabeh, Darvay, Zsolt, Lesaja, Goran, Mahdavi-Amiri, Nezam, Potra, Florian   +4 more
openaire   +2 more sources

A MODIFIED FULL-NEWTON STEP INFEASIBLE INTERIOR-POINT ALGORITHM FOR LINEAR OPTIMIZATION

Asia-Pacific Journal of Operational Research, 2013
We present a full-Newton step infeasible interior-point algorithm based on a new search direction. The algorithm decreases the duality gap and the feasibility residuals at the same rate. During this algorithm we construct strictly feasible iterates for a sequence of perturbations of the given problem and its dual problem.
B. KHEIRFAM, K. AHMADI, F. HASANI
openaire   +3 more sources

A Full-Newton Step Infeasible Interior-Point Method for the Special Weighted Linear Complementarity Problem

Journal of Optimization Theory and Applications, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiaoni Chi, Guoqiang Wang
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A full-Newton step infeasible-interior-point algorithm for linear complementarity problems

Nonlinear Analysis: Real World Applications, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mansouri, H., Zangiabadi, M., Pirhaji, M.   +2 more
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An infeasible interior-point algorithm with full-Newton step for linear optimization

Numerical Algorithms, 2007
The linear optimization problem in the standard form with linear equality constraints and its dual are considered. For solving the problems, the authors propose a primal-dual infeasible interior-point algorithm that uses a feasibility step different from that one used by \textit{C. Roos} [SIAM J. Optim. 16, No.
Liu, Zhongyi, Sun, Wenyu
openaire   +1 more source