The top documents tagged [illposed problems]

R journal 2010-2
Technology R journal 2010-2

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Image Enhancement by Regularization Methods Andrey S. Krylov, Andrey V. Nasonov, Alexey S. Lukin Moscow State University Faculty of Computational Mathematics
Documents Image Enhancement by Regularization Methods Andrey S. Krylov, Andrey V. Nasonov, Alexey S. Lukin Moscow State University Faculty of Computational Mathematics

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Introduction to FDA and linear models
Science Introduction to FDA and linear models

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L.P. Lebedev, I.I. Vorovich, G.M. Gladwell,-Functional Analysis_ Applications in Mechanics and Inverse Problems (Solid Mechanics and Its Applications) (2002)
Documents L.P. Lebedev, I.I. Vorovich, G.M. Gladwell,-Functional Analysis_ Applications in Mechanics and Inverse Problems (Solid Mechanics and Its Applications) (2002)

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Inverse Problems (Mathematical and Analytical Techniques with Applications to Engineering).pdf
Documents Inverse Problems (Mathematical and Analytical Techniques with Applications to Engineering).pdf

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Discrete Inverse Problem - Insight and Algorithms
Documents Discrete Inverse Problem - Insight and Algorithms

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E_Inverse Heat Conduction Problems.pdf
Documents E_Inverse Heat Conduction Problems.pdf

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Various Regularization Methods in Computer Vision Min-Gyu Park Computer Vision Lab. School of Information and Communications GIST
Documents Various Regularization Methods in Computer Vision Min-Gyu Park Computer Vision Lab. School of Information and Communications GIST

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Summer Project Presentation Presented by:Mehmet Eser Advisors : Dr. Bahram Parvin Associate Prof. George Bebis
Documents Summer Project Presentation Presented by:Mehmet Eser Advisors : Dr. Bahram Parvin Associate Prof. George Bebis

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Implicit regularization in sublinear approximation algorithms Michael W. Mahoney ICSI and Dept of Statistics, UC Berkeley ( For more info, see: http:
Documents Implicit regularization in sublinear approximation algorithms Michael W. Mahoney ICSI and Dept of Statistics, UC Berkeley ( For more info, see: http:

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11 Predictive Learning from Data Electrical and Computer Engineering LECTURE SET 6 Methods for Data Reduction and Dimensionality Reduction
Documents 11 Predictive Learning from Data Electrical and Computer Engineering LECTURE SET 6 Methods for Data Reduction and Dimensionality Reduction

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THE INVERSE PROBLEM OF RECONSTRUCTING A TSUNAMI SOURCE WITH NUMERICAL SIMULATION T.Voronina Institute of Computational Mathematics and Mathematical Geophysics
Documents THE INVERSE PROBLEM OF RECONSTRUCTING A TSUNAMI SOURCE WITH NUMERICAL SIMULATION T.Voronina Institute of Computational Mathematics and Mathematical Geophysics

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