Suchergebnisse - least square iterative linear inversion algorithm

A Concrete Core Void Imaging Approach and Parameter Analysis of Concrete-Filled Steel Tube Members Using Travel Time Tomography: Multi-Physics Simulations and Experimental Studies von Zheng, Wenting, Xu, Bin, Xia, Zongjun, Wang, Jiang, Liu, Jingliang, Yao, Yudi, Wang, Yifei

“… ) with a least square iterative linear inversion algorithm is first introduced to quantitatively identify and visualize …”
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Prestack AVA inversion of exact Zoeppritz equations based on modified Trivariate Cauchy distribution von Zhou, Lin, Li, Jingye, Chen, Xiaohong, Liu, Xingye, Chen, Li

“… However, conventional prestack amplitude variation with incidence angle inversion method is strongly influenced by the accuracy of the approximate Zoeppritz equations, which suppresses weak …”
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Prestack amplitude versus angle inversion for Young's modulus and Poisson's ratio based on the exact Zoeppritz equations von Zhou, Lin, Li, Jingye, Chen, Xiaohong, Liu, Xingye, Chen, Li

“… Conventionally, they are indirectly calculated by the rock physics method or estimated by approximate formula inversion …”
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Iterative image-domain decomposition for dual-energy CT von Niu, Tianye, Dong, Xue, Petrongolo, Michael, Zhu, Lei

“… : The proposed algorithm is formulated in the form of least-square estimation …”
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Distributed iterative reweighted least squares algorithm for high-resolution finite-frequency traveltime velocity inversion using VSP data von Zhang, Houzhu, Liang, Hong, Liu, Hongwei, Zhang, Shuo

“… We analyze the characteristics of FFTVI from the computational point of view. A parallel version, Iterative Reweighted Least Squares (IRLS …”
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An Inversion of NMR Echo Data Based on a Normalized Iterative Hard Thresholding Algorithm von Guo, Jiangfeng, Xie, Ranhong

“… In this letter, a surrogate objective function of an NMR inversion without an explicit regularization term based on least-squares fitting is introduced to avoid the process of choosing …”
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Transient Electromagnetic Inversion Based on Improved Supervised Descent Method von Wu, Xinyu, Zhang, Yingying, Xie, Bin, Wu, Wenyu

“… Supervised descent method (SDM) is a machine learning method mainly used to solve the least squares problem, which is divided into a training phase and a prediction phase …”
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A Fast Sparse Azimuth Super-Resolution Imaging Method of Real Aperture Radar Based on Iterative Reweighted Least Squares With Linear Sketching von Tuo, Xingyu, Zhang, Yin, Huang, Yulin, Yang, Jianyu

“… > norm minimization problem mathematically. Iterative reweighted algorithm can effectively solve the <inline-formula><tex-math notation="LaTeX">L_1</tex-math></inline-formula …”
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Wavelet-based 3-D inversion for frequency-domain airborne EM data von Liu, Yunhe, Farquharson, Colin G, Yin, Changchun, Baranwal, Vikas C

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An Iterative Discrete Least Square Estimator with Dynamic Parameterization via Deep-Unfolding von Ando, Kengo, Iimori, Hiroki, Rou, Hyeon Seok, Freitas de Abreu, Giuseppe Thadeu, G, David Gonzalez, Gonsa, Osvaldo

“… We propose a new dynamic parameterization approach via deep unfolding as an extension of the recently-introduced iterative discrete least square (IDLS …”
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A New Vector Waveform Inversion Algorithm for Simultaneous Updating of Conductivity and Permittivity Parameters From Combination Crosshole/Borehole-to-Surface GPR Data von Meles, Giovanni Angelo, Van der Kruk, Jan, Greenhalgh, Stewart A, Ernst, Jacques R, Maurer, Hansruedi, Green, Alan G

“… The inversion is formulated as a nonlinear least squares problem in which the misfit between observed and modeled data is minimized …”
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A unified preconditioned minimal residual (PMR) algorithm for matrix problems: Linear systems, multiple right-hand sides linear systems, least squares problems, inversion and pseudo-inversion with application to color image encryption von Shirilord, Akbar, Dehghan, Mehdi

“… In this article, we introduce a preconditioned minimal residual (PMR) algorithm designed to address a wide range of matrix equations and linear systems …”
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Low-complexity signal detection for large-scale MIMO systems with second-order Richardson method von Khoso, Imran A, Zhang, Xiaofei, Shaikh, Abdul Hayee

“… Linear minimum mean-square error (MMSE) detection achieves near-optimal performance in large-scale multiple-input multiple-output (LS-MIMO …”
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A comparison of direct and iterative finite element inversion techniques in dynamic elastography von Honarvar, M, Rohling, R, Salcudean, S E

“… This problem has been solved with both direct and iterative FEM schemes. Each of these methods has its own advantages and disadvantages which are examined in this paper …”
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Solving Multilinear Systems via Tensor Inversion von Brazell, M., Li, N., Navasca, C., Tamon, C.

“… Higher order tensor inversion is possible for even order. This is due to the fact that a tensor group endowed with the contracted product is isomorphic to the general linear group of degree $n …”
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A homotopy continuation inversion of geoelectrical sounding data von Ghanati, Reza, Müller-Petke, Mike

“… constraints on the physical properties. To mitigate this problem, we present a globally convergent Homotopy continuation algorithm to solve the nonlinear least squares problem through a path-tracking strategy in model space …”
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Randomized Gauss–Seidel iterative algorithms for Extreme Learning Machines von Subramani, Chinnamuthu, Jagannath, Ravi Prasad K., Kuppili, Venkatanareshbabu

“… ELM training requires solving a system of linear equations, where solution accuracy directly impacts model performance …”
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Iterative Pseudo-Sparse Partial Least Square and its Higher-Order variant: Application to inference from high-dimensional biosignals von Einizade, Aref, Sardouie, Sepideh Hajipour

“… Partial Least Square (PLS) regression and its (L1 or L2 norm) regularized versions have been proposed to handle the high-dimensionality aspects of the problem at hand and select relevant features …”
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Unified frameworks for high order Newton-Schulz and Richardson iterations: a computationally efficient toolkit for convergence rate improvement von Stotsky, Alexander

“… ) for combination of Richardson and iterative matrix inversion algorithms with improved convergence rate for estimation of θ ∗ are proposed …”
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A matrix‐free variant of the distorted Born iterative method for seismic full‐waveform inversion von Xiang, Kui, Jakobsen, Morten, Eikrem, Kjersti Solberg, Nævdal, Geir

“… ) linear inverse scattering problems that can be solved using a regularized least‐squares formulation. This method was originally applied to two …”
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