scholarly journals Disproving Using the Inverse Method by Iterative Refinement of Finite Approximations

2015 ◽  
pp. 153-168 ◽  
Author(s):  
Taus Brock-Nannestad ◽  
Kaustuv Chaudhuri
Keyword(s):  
Inverse Method ◽  
Iterative Refinement ◽  
Finite Approximations

A general inverse method for modelling extensional sedimentary basins

2000 ◽  
Vol 12 (3-4) ◽  
pp. 219-226 ◽  
Author(s):  
P. Bellingham ◽  
N. White
Keyword(s):  
Inverse Method ◽  
Sedimentary Basins

ESTIMATION BY AN INVERSE METHOD OF BOILING FLUXES EXTRACTED BY A WATER JET IMPINGING ON A HOT ROTATING CYLINDER

Equipment ◽  
2006 ◽  
Author(s):  
D. Maillet ◽  
F. Volle ◽  
Michel Gradeck ◽  
Michel Lebouche
Keyword(s):  
Inverse Method ◽  
Rotating Cylinder ◽  
Water Jet

Quantification of thermal energy generation in annular hyperbolic porous-finned heat sinks using inverse optimization

2021 ◽  
pp. 095440892110243
Author(s):  
Sagnik Pal ◽  
Ranjan Das
Keyword(s):  
Heat Transfer ◽  
Surface Temperature ◽  
Heat Generation ◽  
Thermal Energy ◽  
Inverse Method ◽  
Golden Section ◽  
Energy Generation ◽  
Heat Sinks ◽  
Search Technique ◽  
Golden Section Search

The present paper introduces an accurate numerical procedure to assess the internal thermal energy generation in an annular porous-finned heat sink from the sole assessment of surface temperature profile using the golden section search technique. All possible heat transfer modes and temperature dependence of all thermal parameters are accounted for in the present nonlinear model. At first, the direct problem is numerically solved using the Runge–Kutta method, whereas for predicting the prevailing heat generation within a given generalized fin domain an inverse method is used with the aid of the golden section search technique. After simplifications, the proposed scheme is credibly verified with other methodologies reported in the existing literature. Numerical predictions are performed under different levels of Gaussian noise from which accurate reconstructions are observed for measurement error up to 20%. The sensitivity study deciphers that the surface temperature field in itself is a strong function of the surface porosity, and the same is controlled through a joint trade-off among heat generation and other thermo-geometrical parameters. The present results acquired from the golden section search technique-assisted inverse method are proposed to be suitable for designing effective and robust porous fin heat sinks in order to deliver safe and enhanced heat transfer along with significant weight reduction with respect to the conventionally used systems. The present inverse estimation technique is proposed to be robust as it can be easily tailored to analyse all possible geometries manufactured from any material in a more accurate manner by taking into account all feasible heat transfer modes.

scholarly journals Phase-to-pattern inverse design paradigm for fast realization of functional metasurfaces via transfer learning

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Ruichao Zhu ◽  
Tianshuo Qiu ◽  
Jiafu Wang ◽  
Sai Sui ◽  
Chenglong Hao ◽  
...  
Keyword(s):  
Transfer Learning ◽  
Electromagnetic Waves ◽  
Inverse Method ◽  
Inverse Design ◽  
Learning Network ◽  
Design Paradigm ◽  
Simulation And Experiment ◽  
Meta Atom ◽  
Trained Network ◽  
Input Phase

AbstractMetasurfaces have provided unprecedented freedom for manipulating electromagnetic waves. In metasurface design, massive meta-atoms have to be optimized to produce the desired phase profiles, which is time-consuming and sometimes prohibitive. In this paper, we propose a fast accurate inverse method of designing functional metasurfaces based on transfer learning, which can generate metasurface patterns monolithically from input phase profiles for specific functions. A transfer learning network based on GoogLeNet-Inception-V3 can predict the phases of 28×8 meta-atoms with an accuracy of around 90%. This method is validated via functional metasurface design using the trained network. Metasurface patterns are generated monolithically for achieving two typical functionals, 2D focusing and abnormal reflection. Both simulation and experiment verify the high design accuracy. This method provides an inverse design paradigm for fast functional metasurface design, and can be readily used to establish a meta-atom library with full phase span.

scholarly journals On solving the slice-by-slice three-dimensional 2-tensor tomography problems using the approximate inverse method

2021 ◽  
Vol 1715 ◽  
pp. 012036
Author(s):  
A K Louis ◽  
S V Maltseva ◽  
A P Polyakova ◽  
T Schuster ◽  
I E Svetov
Keyword(s):  
Inverse Method ◽  
Three Dimensional ◽  
Approximate Inverse ◽  
Tensor Tomography

scholarly journals RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization

2021 ◽  
Author(s):  
Alejandro Pardo ◽  
Humam Alwassel ◽  
Fabian Caba Heilbron ◽  
Ali Thabet ◽  
Bernard Ghanem
Keyword(s):  
Iterative Refinement ◽  
Action Localization ◽  
Weakly Supervised

An inverse method for determination of the interdiffusivity in aluminide coatings formed on superalloy

2004 ◽  
Vol 182 (1) ◽  
pp. 112-116 ◽  
Author(s):  
Hua Wei ◽  
Xiaofeng Sun ◽  
Qi Zheng ◽  
Guichen Hou ◽  
Hengrong Guan ◽  
...  
Keyword(s):  
Inverse Method ◽  
Aluminide Coatings

scholarly journals Iterative refinement using splitting methods

1998 ◽  
Vol 273 (1-3) ◽  
pp. 199-214 ◽  
Author(s):  
Jin Yun Yuan
Keyword(s):  
Splitting Methods ◽  
Iterative Refinement
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