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Convergence of Dirichlet Energy Minimization for Spherical Conformal Parameterizations
In this paper, we first derive a theoretical basis for spherical conformal parameterizations between a simply connected closed surface
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Protein structure prediction with energy minimization and deep learning approaches
In this paper we discuss the advantages and problems of two alternatives for ab initio protein structure prediction. On one hand, recent approaches...
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Energy Definition and Minimization in Avalanche Models for Solar Flares
Self-organized critical avalanche models are a class of cellular automata that, despite their simplicity, can be applied to the modeling of solar...
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Divergent migration routes reveal contrasting energy-minimization strategies to deal with differing resource predictability
BackgroundSeasonal long-distance movements are a common feature in many taxa allowing animals to deal with seasonal habitats and life-history...
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Data-Driven Energy Waste Minimization at Energy Distribution Networks
Energy is the essence of global economic and social development. However, the challenges from large-scale exploitation and utilization of energy...
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Minimization of Energy Functionals via FEM: Implementation of hp-FEM
Many problems in science and engineering can be rigorously recast into minimizing a suitable energy functional. We have been develo** efficient and...
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Direct Minimization of the Canham–Helfrich Energy on Generalized Gauss Graphs
The existence of minimizers of the Canham–Helfrich functional in the setting of generalized Gauss graphs is proved. As a first step, the...
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An Energy Minimization Approach to Twinning with Variable Volume Fraction
In materials that undergo martensitic phase transformation, macroscopic loading often leads to the creation and/or rearrangement of elastic domains....
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BLUE against OLSE in the location model: energy minimization and asymptotic considerations
The main purpose of the paper is to uncover the connections between kriging, energy minimization and properties of the ordinary least squares and...
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Shape analysis of an axisymmetric pendant drop using minimization of free energy
The shape of a pendant drop is studied by employing free energy minimization. This free energy includes the gravitational potential energy and the...
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Transfinite Barycentric Interpolation via Dirichlet Energy Minimization for Conical Surfaces
AbstractIn this theoretical work, we analyze general constructions for transfinite (also known as continuous and integral-based) barycentric...
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Convergence analysis of approximation formulas for analytic functions via duality for potential energy minimization
We investigate the approximation formulas that were proposed by Tanaka & Sugihara (IMA J. Numer. Anal. 39(4):1957–1984, 2019), in weighted Hardy...
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Waste Minimization at Source
Waste minimization is an approach to waste management that emphasizes the reduction of waste quantity and the toxicity of hazardous waste produced....
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Trajectory Optimization for Propulsion Energy Minimization of UAV Data Collection
As a flexible communication manner, unmanned aerial vehicle (UAV) communication is a promising technology for wireless communication systems....
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Incentive minimization using energy and buffer efficient routing protocol over Blockchain enabled DTN
Delay tolerant networks (DTNs) are a kind of sporadically connected mobile networks in which the network is intermittent, and end-to-end path is hard...
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Age of Information Minimization for Energy Harvesting Overlay/Underlay Cognitive Radio Networks
AbstractCognitive radio networks (CRNs) having energy harvesting capability have been an encouraging technology to solve the spectrum deficiency...
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Solving the cost minimization problem of optimal reactive power dispatch in a renewable energy integrated distribution system using rock hyraxes swarm optimization
The optimal reactive power dispatch problem optimizes the shunt capacitor bank installation in distribution systems, reducing power loss and also...
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Object tracking using local structural information and energy minimization
Object tracking is one of the fundamental processes for many high level applications in the field of machine vision. Many challenges in this field...
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Convergent Authalic Energy Minimization for Disk Area-Preserving Parameterizations
An area-preserving parameterization of a surface is a bijective map** that maps the surface onto a specified domain and preserves the local area....
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KnotAli: informed energy minimization through the use of evolutionary information
BackgroundImproving the prediction of structures, especially those containing pseudoknots (structures with crossing base pairs) is an ongoing...
