Results 1 to 10 of about 14,478,182 (193)

HomPINNs: homotopy physics-informed neural networks for solving the inverse problems of nonlinear differential equations with multiple solutions [PDF]

open access: yesJ Comput Phys, 2023
Due to the complex behavior arising from non-uniqueness, symmetry, and bifurcations in the solution space, solving inverse problems of nonlinear differential equations (DEs) with multiple solutions is a challenging task.
Haoyang Zheng   +4 more
semanticscholar   +2 more sources

Inverse design of structural color: finding multiple solutions via conditional generative adversarial networks [PDF]

open access: yesNanophotonics, 2022
The “one-to-many” problem is a typical challenge that faced by many machine learning aided inverse nanophotonics designs where one target optical response can be achieved by many solutions (designs).
Peng Dai   +8 more
semanticscholar   +2 more sources

Extending greedy feature selection algorithms to multiple solutions [PDF]

open access: yesData Min Knowl Discov, 2021
Most feature selection methods identify only a single solution. This is acceptable for predictive purposes, but is not sufficient for knowledge discovery if multiple solutions exist.
Giorgos Borboudakis, I. Tsamardinos
semanticscholar   +2 more sources

A novel method for analysing consistency and unravelling multiple solutions in sediment fingerprinting.

open access: yesScience of the Total Environment, 2021
Fingerprinting technique is a widely used tool to assess the sources of sediments and particle bound chemicals within a watershed, and the results obtained from unmixing models are becoming valuable data to support soil and water resources monitoring and
B. Latorre   +3 more
semanticscholar   +1 more source

Multiple Solutions of the Tristable Energy Harvester

open access: yesEnergies, 2021
This paper presents the results of numerical simulations of a non-linear, tristable system for harvesting energy from vibrating mechanical devices. Detailed model tests were carried out in relation to the system consisting of a beam and three permanent ...
G. Litak   +4 more
semanticscholar   +1 more source

On the existence of multiple solutions for a partial discrete Dirichlet boundary value problem with mean curvature operator

open access: yesAdvances in Nonlinear Analysis, 2021
Apartial discrete Dirichlet boundary value problem involving mean curvature operator is concerned in this paper. Under proper assumptions on the nonlinear term, we obtain some feasible conditions on the existence of multiple solutions by the method of ...
Sijia Du, Z. Zhou
semanticscholar   +1 more source

Multiple solutions for a Schrödinger–Bopp–Podolsky system with positive potentials [PDF]

open access: yesMathematische Nachrichten, 2020
In this paper, we prove existence of solutions for a Schrödinger–Bopp–Podolsky system under positive potentials. We use the Ljusternick–Schnirelmann and Morse Theories to get multiple solutions with a priori given “interaction energy.”
G. Figueiredo, G. Siciliano
semanticscholar   +1 more source

A Quasi-Oppositional Heap-Based Optimization Technique for Power Flow Analysis by Considering Large Scale Photovoltaic Generator

open access: yesEnergies, 2021
Load flow analysis is an essential tool for the reliable planning and operation of interconnected power systems. The constant increase in power demand, apart from the increased intermittency in power generation due to renewable energy sources without ...
Vedik Basetti   +5 more
doaj   +1 more source

Computing multiple solutions of topology optimization problems [PDF]

open access: yesSIAM Journal on Scientific Computing, 2020
Topology optimization problems often support multiple local minima due to a lack of convexity. Typically, gradient-based techniques combined with continuation in model parameters are used to promote convergence to more optimal solutions; however, these ...
Ioannis P. A. Papadopoulos   +2 more
semanticscholar   +1 more source

CNV Radar: an improved method for somatic copy number alteration characterization in oncology

open access: yesBMC Bioinformatics, 2020
Background Cancer associated copy number variation (CNV) events provide important information for identifying patient subgroups and suggesting treatment strategies.
David Soong   +15 more
doaj   +1 more source

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