Results 51 to 60 of about 19,600 (195)
Delayed Star Subgradient Methods for Constrained Nondifferentiable Quasi-Convex Optimization
In this work, we consider the problem of minimizing a quasi-convex function over a nonempty closed convex constrained set. In order to approximate a solution of the considered problem, we propose delayed star subgradient methods.
Ontima Pankoon, Nimit Nimana
doaj +1 more source
ABSTRACT The so‐called algorithmic bias is a hot topic in the decision‐making process based on Artificial Intelligence, especially when demographics, such as gender, age or ethnic origin, come into play. Frequently, the problem is not only in the algorithm itself, but also in the biased data that feed the algorithm, which is just the reflection of the ...
Elena M. De‐Diego +2 more
wiley +1 more source
Distributed optimization algorithm for multi-agent optimization problems using consensus control
The distributed optimization algorithms using consensus control are proposed for solving multi-agent optimization problems. The multi-agent optimization problem has discrete and continuous decision variables to minimize the sum of local cost functions ...
Tatsushi NISHI, Naoto DEBUCHI, Ziang LIU
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Distributed Event-Triggered Subgradient Method for Convex Optimization With General Step-Size
In this paper, the consensus and optimization of a multiagent system in a distributed optimization problem with bounded constraint is discussed under the general step-size, which is square nonsummable.
Ran Li, Xiaowu Mu
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In this paper, we introduce an inertial parallel CQ subgradient extragradient method for finding a common solutions of variational inequality problems.
Ponkamon Kitisak, Watcharaporn Cholamjiak, Damrongsak Yambangwai
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Faster subgradient methods for functions with Hölderian growth [PDF]
The purpose of this manuscript is to derive new convergence results for several subgradient methods applied to minimizing nonsmooth convex functions with Hölderian growth. The growth condition is satisfied in many applications and includes functions with quadratic growth and weakly sharp minima as special cases.
Patrick R. Johnstone, Pierre Moulin
openaire +3 more sources
Estimating Plant Species Richness With Sentinel and Landsat Data Across Ecosystems in China
438 field plots were used to estimate plant diversity across ecosystems; 18 spectral indices were derived from Sentinel and Landsat data; EVI, DVI, PSRI, NDVI, PRI, GNDVI, and GMEVI were identified as powerful indicators for predicting plant alpha diversity.
Keman Wang +4 more
wiley +1 more source
Data analysis and anomalies detection in cattle behavior
Monitoring cattle behavior is critical for ensuring animal health, welfare, and productivity. Anomalies in behavior — such as changes in feeding, locomotion, or social interactions — often precede the onset of disease, stress, or injury. Early detection
Петро Іванович Стецюк +2 more
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A Duality-Based Approach for Distributed Optimization with Coupling Constraints
In this paper we consider a distributed optimization scenario in which a set of agents has to solve a convex optimization problem with separable cost function, local constraint sets and a coupling inequality constraint.
Notarnicola, Ivano +1 more
core +1 more source
Dimer models and conformal structures
Abstract Dimer models have been the focus of intense research efforts over the last years. Our paper grew out of an effort to develop new methods to study minimizers or the asymptotic height functions of general dimer models and the geometry of their frozen boundaries.
Kari Astala +3 more
wiley +1 more source

