Partial differential equations and inverse problems : Pan-American Advanced Studies Institute on Partial Differential Equations, Nonlinear Analysis and Inverse Problems, January 6-18, 2003, Santiago, Chile / / Carlos Conca [and three others], editors |
Pubbl/distr/stampa | Providence, Rhode Island : , : American Mathematical Society, , [2004] |
Descrizione fisica | 1 online resource (426 p.) |
Disciplina | 515/.353 |
Collana | Contemporary mathematics |
Soggetto topico |
Differential equations, Partial
Inverse problems (Differential equations) |
Soggetto genere / forma | Electronic books. |
ISBN |
0-8218-7952-9
0-8218-5697-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
""A Least Action Principle for Steepest Descent in a Non-Convex Landscape""""A Network Tomography Problem Related to the Hypercube""; ""On the structure of the Schrodinger propagator""; ""The Downward Continuation Approach to Modeling and Inverse Scattering of Seismic Data in the Kirchhoff Approximation.""; ""Approximate invariant manifold of the Allen-Cahn flow in two dimensions ""; ""On Some Spectral Problems of Mathematical Physics""; ""Inverse Problem for a Random Potential""; ""Pseudodifferential Analysis for the Laplacian on Noncompact Symmetric Spaces.""
""Boundary structure and cohomology of b-complex manifolds""""Unique Continuation Property for Elliptic Systems and Crack Determination in Anisotropic Elasticity""; ""Duality in Sub-Supercritical Bubbling in the Brezis-Nirenberg Problem near the Critical Exponent.""; ""High-Order Domain Variations in Boundary Value and Free Boundary Problems""; ""Radiation Fields and Inverse Scattering on Asymptotically Euclidean Manifolds""; ""Interactive Oscillation Sources in Signorini's Type Problems""; ""Inverse Scattering with Time-Periodic Potentials"" ""A Local Borg-Marchenko Theorem for Difference Equations with Complex Coefficients."" |
Record Nr. | UNINA-9910480018103321 |
Providence, Rhode Island : , : American Mathematical Society, , [2004] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Partial differential equations and inverse problems : Pan-American Advanced Studies Institute on Partial Differential Equations, Nonlinear Analysis and Inverse Problems, January 6-18, 2003, Santiago, Chile / / Carlos Conca [and three others], editors |
Pubbl/distr/stampa | Providence, Rhode Island : , : American Mathematical Society, , [2004] |
Descrizione fisica | 1 online resource (426 p.) |
Disciplina | 515/.353 |
Collana | Contemporary mathematics |
Soggetto topico |
Differential equations, Partial
Inverse problems (Differential equations) |
ISBN |
0-8218-7952-9
0-8218-5697-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | A Least Action Principle for Steepest Descent in a Non-Convex Landscape -- A Network Tomography Problem Related to the Hypercube -- On the structure of the Schrodinger propagator -- The Downward Continuation Approach to Modeling and Inverse Scattering of Seismic Data in the Kirchhoff Approximation. -- Approximate invariant manifold of the Allen-Cahn flow in two dimensions -- On Some Spectral Problems of Mathematical Physics -- Inverse Problem for a Random Potential -- Pseudodifferential Analysis for the Laplacian on Noncompact Symmetric Spaces. -- Boundary structure and cohomology of b-complex manifolds -- Unique Continuation Property for Elliptic Systems and Crack Determination in Anisotropic Elasticity -- Duality in Sub-Supercritical Bubbling in the Brezis-Nirenberg Problem near the Critical Exponent. -- High-Order Domain Variations in Boundary Value and Free Boundary Problems -- Radiation Fields and Inverse Scattering on Asymptotically Euclidean Manifolds -- Interactive Oscillation Sources in Signorini's Type Problems -- Inverse Scattering with Time-Periodic Potentials -- A Local Borg-Marchenko Theorem for Difference Equations with Complex Coefficients. |
Record Nr. | UNINA-9910788658803321 |
Providence, Rhode Island : , : American Mathematical Society, , [2004] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Partial differential equations and inverse problems : Pan-American Advanced Studies Institute on Partial Differential Equations, Nonlinear Analysis and Inverse Problems, January 6-18, 2003, Santiago, Chile / / Carlos Conca [and three others], editors |
Pubbl/distr/stampa | Providence, Rhode Island : , : American Mathematical Society, , [2004] |
Descrizione fisica | 1 online resource (426 p.) |
Disciplina | 515/.353 |
Collana | Contemporary mathematics |
Soggetto topico |
Differential equations, Partial
Inverse problems (Differential equations) |
ISBN |
0-8218-7952-9
0-8218-5697-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | A Least Action Principle for Steepest Descent in a Non-Convex Landscape -- A Network Tomography Problem Related to the Hypercube -- On the structure of the Schrodinger propagator -- The Downward Continuation Approach to Modeling and Inverse Scattering of Seismic Data in the Kirchhoff Approximation. -- Approximate invariant manifold of the Allen-Cahn flow in two dimensions -- On Some Spectral Problems of Mathematical Physics -- Inverse Problem for a Random Potential -- Pseudodifferential Analysis for the Laplacian on Noncompact Symmetric Spaces. -- Boundary structure and cohomology of b-complex manifolds -- Unique Continuation Property for Elliptic Systems and Crack Determination in Anisotropic Elasticity -- Duality in Sub-Supercritical Bubbling in the Brezis-Nirenberg Problem near the Critical Exponent. -- High-Order Domain Variations in Boundary Value and Free Boundary Problems -- Radiation Fields and Inverse Scattering on Asymptotically Euclidean Manifolds -- Interactive Oscillation Sources in Signorini's Type Problems -- Inverse Scattering with Time-Periodic Potentials -- A Local Borg-Marchenko Theorem for Difference Equations with Complex Coefficients. |
Record Nr. | UNINA-9910811519803321 |
Providence, Rhode Island : , : American Mathematical Society, , [2004] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Recent development in theories & numerics [[electronic resource] ] : International Conference on Inverse Problems, Hong Kong, China, 9-12 January 2002 / / editors, Yiu-Chung Hon ... [et al.] |
Pubbl/distr/stampa | Singapore ; ; River Edge, N.J., : World Scientific, c2003 |
Descrizione fisica | 1 online resource (473 p.) |
Disciplina | 515.35 |
Altri autori (Persone) | HonYiu-Chung |
Soggetto topico |
Inverse problems (Differential equations)
Mathematical physics |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-90633-6
9786611906337 981-270-492-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Foreword; CONTENTS; Section I : Surveys; Section II: Theoretical Aspects; Section III: Numerical Methods; Section IV: Solutions to Applied Inverse Problems; Section V: Related Topics; Author Index |
Record Nr. | UNINA-9910451325503321 |
Singapore ; ; River Edge, N.J., : World Scientific, c2003 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Recent development in theories & numerics [[electronic resource] ] : International Conference on Inverse Problems, Hong Kong, China, 9-12 January 2002 / / editors, Yiu-Chung Hon ... [et al.] |
Pubbl/distr/stampa | Singapore ; ; River Edge, N.J., : World Scientific, c2003 |
Descrizione fisica | 1 online resource (473 p.) |
Disciplina | 515.35 |
Altri autori (Persone) | HonYiu-Chung |
Soggetto topico |
Inverse problems (Differential equations)
Mathematical physics |
ISBN |
1-281-90633-6
9786611906337 981-270-492-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Foreword; CONTENTS; Section I : Surveys; Section II: Theoretical Aspects; Section III: Numerical Methods; Section IV: Solutions to Applied Inverse Problems; Section V: Related Topics; Author Index |
Record Nr. | UNINA-9910783918303321 |
Singapore ; ; River Edge, N.J., : World Scientific, c2003 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Recent development in theories & numerics [[electronic resource] ] : International Conference on Inverse Problems, Hong Kong, China, 9-12 January 2002 / / editors, Yiu-Chung Hon ... [et al.] |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Singapore ; ; River Edge, N.J., : World Scientific, c2003 |
Descrizione fisica | 1 online resource (473 p.) |
Disciplina | 515.35 |
Altri autori (Persone) | HonYiu-Chung |
Soggetto topico |
Inverse problems (Differential equations)
Mathematical physics |
ISBN |
1-281-90633-6
9786611906337 981-270-492-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Foreword; CONTENTS; Section I : Surveys; Section II: Theoretical Aspects; Section III: Numerical Methods; Section IV: Solutions to Applied Inverse Problems; Section V: Related Topics; Author Index |
Record Nr. | UNINA-9910812476503321 |
Singapore ; ; River Edge, N.J., : World Scientific, c2003 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Regularization and Bayesian methods for inverse problems in signal and image processing / / edited by Jean-François Giovannelli, Jérôme Idier |
Pubbl/distr/stampa | London, [England] ; ; Hoboken, New Jersey : , : ISTE Limited : , : Hoboken, New Jersey, , 2015 |
Descrizione fisica | 1 online resource (323 p.) |
Disciplina | 515.35 |
Collana | Digital Signal and Image Processing Series |
Soggetto topico |
Inverse problems (Differential equations)
Bayesian statistical decision theory Signal processing - Mathematics Image processing - Mathematics |
ISBN |
1-118-82698-1
1-118-82725-2 1-118-82707-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright; Contents; Introduction; I.1. Bibliography; 1: 3D Reconstruction in X-ray Tomography: Approach Example for Clinical Data Processing; 1.1. Introduction; 1.2. Problem statement; 1.2.1. Data formation models; 1.2.2. Estimators; 1.2.3. Algorithms; 1.3. Method; 1.3.1. Data formation models; 1.3.2. Estimator; 1.3.3. Minimization method; 1.3.3.1. Algorithm selection; 1.3.3.2. Minimization procedure; 1.3.4. Implementation of the reconstruction procedure; 1.4. Results; 1.4.1. Comparison of minimization algorithms; 1.4.2. Using a region of interest in reconstruction
1.4.3. Consideration of the polyenergetic character of the X-ray source1.4.3.1. Simulated data in 2D; 1.4.3.2. Real data in 3D; 1.5. Conclusion; 1.6. Acknowledgments; 1.7. Bibliography; 2: Analysis of Force-Volume Images in Atomic Force Microscopy Using Sparse Approximation; 2.1. Introduction; 2.2. Atomic force microscopy; 2.2.1. Biological cell characterization; 2.2.2. AFM modalities; 2.2.2.1. Isoforce and isodistance images; 2.2.2.2. Force spectroscopy; 2.2.2.3. Force-volume imaging; 2.2.3. Physical piecewise models; 2.2.3.1. Approach phase models; 2.2.3.2. Retraction phase models 2.3. Data processing in AFM spectroscopy2.3.1. Objectives and methodology in signal processing; 2.3.1.1. Detection of the regions of interest; 2.3.1.2. Parametric model fitting; 2.3.2. Segmentation of a force curve by sparse approximation; 2.3.2.1. Detecting jumps in a signal; 2.3.2.2. Joint detection of discontinuities at different orders; 2.3.2.3. Scalar and vector variable selection; 2.4. Sparse approximation algorithms; 2.4.1. Minimization of a mixed l2-l0 criterion; 2.4.2. Dedicated algorithms; 2.4.3. Joint detection of discontinuities; 2.4.3.1. Construction of the dictionary 2.4.3.2. Selection of scalar variables2.4.3.3. Selection of vector variables; 2.5. Real data processing; 2.5.1. Segmentation of a retraction curve: comparison of strategies; 2.5.2. Retraction curve processing; 2.5.3. Force-volume image processing in the approach phase; 2.6. Conclusion; 2.7. Bibliography; 3: Polarimetric Image Restoration by Non-local Means; 3.1. Introduction; 3.2. Light polarization and the Stokes-Mueller formalism; 3.3. Estimation of the Stokes vectors; 3.3.1. Estimation of the Stokes vector in a pixel; 3.3.1.1. Problem formulation 3.3.1.2. Properties of the constrained optimization problem3.3.1.3. Optimization algorithm; 3.3.2. Non-local means filtering; 3.3.3. Adaptive non-local means filtering; 3.3.3.1. The function φ; 3.3.3.2. Patches size and shape; 3.3.4. Application to the estimation of Stokes vectors; 3.4. Results; 3.4.1. Results with synthetic data; 3.4.1.1. Synthetic data and context evaluation presentation; 3.4.1.2. Results; 3.4.1.3. Significance of the proposed method for the estimation of the weights; 3.4.2. Results with real data; 3.5. Conclusion; 3.6. Bibliography 4: Video Processing and Regularized Inversion Methods |
Record Nr. | UNISA-996212920703316 |
London, [England] ; ; Hoboken, New Jersey : , : ISTE Limited : , : Hoboken, New Jersey, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Regularization and Bayesian methods for inverse problems in signal and image processing / / edited by Jean-François Giovannelli, Jérôme Idier |
Pubbl/distr/stampa | London, [England] ; ; Hoboken, New Jersey : , : ISTE Limited : , : Hoboken, New Jersey, , 2015 |
Descrizione fisica | 1 online resource (323 p.) |
Disciplina | 515.35 |
Collana | Digital Signal and Image Processing Series |
Soggetto topico |
Inverse problems (Differential equations)
Bayesian statistical decision theory Signal processing - Mathematics Image processing - Mathematics |
ISBN |
1-118-82698-1
1-118-82725-2 1-118-82707-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright; Contents; Introduction; I.1. Bibliography; 1: 3D Reconstruction in X-ray Tomography: Approach Example for Clinical Data Processing; 1.1. Introduction; 1.2. Problem statement; 1.2.1. Data formation models; 1.2.2. Estimators; 1.2.3. Algorithms; 1.3. Method; 1.3.1. Data formation models; 1.3.2. Estimator; 1.3.3. Minimization method; 1.3.3.1. Algorithm selection; 1.3.3.2. Minimization procedure; 1.3.4. Implementation of the reconstruction procedure; 1.4. Results; 1.4.1. Comparison of minimization algorithms; 1.4.2. Using a region of interest in reconstruction
1.4.3. Consideration of the polyenergetic character of the X-ray source1.4.3.1. Simulated data in 2D; 1.4.3.2. Real data in 3D; 1.5. Conclusion; 1.6. Acknowledgments; 1.7. Bibliography; 2: Analysis of Force-Volume Images in Atomic Force Microscopy Using Sparse Approximation; 2.1. Introduction; 2.2. Atomic force microscopy; 2.2.1. Biological cell characterization; 2.2.2. AFM modalities; 2.2.2.1. Isoforce and isodistance images; 2.2.2.2. Force spectroscopy; 2.2.2.3. Force-volume imaging; 2.2.3. Physical piecewise models; 2.2.3.1. Approach phase models; 2.2.3.2. Retraction phase models 2.3. Data processing in AFM spectroscopy2.3.1. Objectives and methodology in signal processing; 2.3.1.1. Detection of the regions of interest; 2.3.1.2. Parametric model fitting; 2.3.2. Segmentation of a force curve by sparse approximation; 2.3.2.1. Detecting jumps in a signal; 2.3.2.2. Joint detection of discontinuities at different orders; 2.3.2.3. Scalar and vector variable selection; 2.4. Sparse approximation algorithms; 2.4.1. Minimization of a mixed l2-l0 criterion; 2.4.2. Dedicated algorithms; 2.4.3. Joint detection of discontinuities; 2.4.3.1. Construction of the dictionary 2.4.3.2. Selection of scalar variables2.4.3.3. Selection of vector variables; 2.5. Real data processing; 2.5.1. Segmentation of a retraction curve: comparison of strategies; 2.5.2. Retraction curve processing; 2.5.3. Force-volume image processing in the approach phase; 2.6. Conclusion; 2.7. Bibliography; 3: Polarimetric Image Restoration by Non-local Means; 3.1. Introduction; 3.2. Light polarization and the Stokes-Mueller formalism; 3.3. Estimation of the Stokes vectors; 3.3.1. Estimation of the Stokes vector in a pixel; 3.3.1.1. Problem formulation 3.3.1.2. Properties of the constrained optimization problem3.3.1.3. Optimization algorithm; 3.3.2. Non-local means filtering; 3.3.3. Adaptive non-local means filtering; 3.3.3.1. The function φ; 3.3.3.2. Patches size and shape; 3.3.4. Application to the estimation of Stokes vectors; 3.4. Results; 3.4.1. Results with synthetic data; 3.4.1.1. Synthetic data and context evaluation presentation; 3.4.1.2. Results; 3.4.1.3. Significance of the proposed method for the estimation of the weights; 3.4.2. Results with real data; 3.5. Conclusion; 3.6. Bibliography 4: Video Processing and Regularized Inversion Methods |
Record Nr. | UNINA-9910140479103321 |
London, [England] ; ; Hoboken, New Jersey : , : ISTE Limited : , : Hoboken, New Jersey, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Regularization and Bayesian methods for inverse problems in signal and image processing / / edited by Jean-François Giovannelli, Jérôme Idier |
Pubbl/distr/stampa | London, [England] ; ; Hoboken, New Jersey : , : ISTE Limited : , : Hoboken, New Jersey, , 2015 |
Descrizione fisica | 1 online resource (323 p.) |
Disciplina | 515.35 |
Collana | Digital Signal and Image Processing Series |
Soggetto topico |
Inverse problems (Differential equations)
Bayesian statistical decision theory Signal processing - Mathematics Image processing - Mathematics |
ISBN |
1-118-82698-1
1-118-82725-2 1-118-82707-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright; Contents; Introduction; I.1. Bibliography; 1: 3D Reconstruction in X-ray Tomography: Approach Example for Clinical Data Processing; 1.1. Introduction; 1.2. Problem statement; 1.2.1. Data formation models; 1.2.2. Estimators; 1.2.3. Algorithms; 1.3. Method; 1.3.1. Data formation models; 1.3.2. Estimator; 1.3.3. Minimization method; 1.3.3.1. Algorithm selection; 1.3.3.2. Minimization procedure; 1.3.4. Implementation of the reconstruction procedure; 1.4. Results; 1.4.1. Comparison of minimization algorithms; 1.4.2. Using a region of interest in reconstruction
1.4.3. Consideration of the polyenergetic character of the X-ray source1.4.3.1. Simulated data in 2D; 1.4.3.2. Real data in 3D; 1.5. Conclusion; 1.6. Acknowledgments; 1.7. Bibliography; 2: Analysis of Force-Volume Images in Atomic Force Microscopy Using Sparse Approximation; 2.1. Introduction; 2.2. Atomic force microscopy; 2.2.1. Biological cell characterization; 2.2.2. AFM modalities; 2.2.2.1. Isoforce and isodistance images; 2.2.2.2. Force spectroscopy; 2.2.2.3. Force-volume imaging; 2.2.3. Physical piecewise models; 2.2.3.1. Approach phase models; 2.2.3.2. Retraction phase models 2.3. Data processing in AFM spectroscopy2.3.1. Objectives and methodology in signal processing; 2.3.1.1. Detection of the regions of interest; 2.3.1.2. Parametric model fitting; 2.3.2. Segmentation of a force curve by sparse approximation; 2.3.2.1. Detecting jumps in a signal; 2.3.2.2. Joint detection of discontinuities at different orders; 2.3.2.3. Scalar and vector variable selection; 2.4. Sparse approximation algorithms; 2.4.1. Minimization of a mixed l2-l0 criterion; 2.4.2. Dedicated algorithms; 2.4.3. Joint detection of discontinuities; 2.4.3.1. Construction of the dictionary 2.4.3.2. Selection of scalar variables2.4.3.3. Selection of vector variables; 2.5. Real data processing; 2.5.1. Segmentation of a retraction curve: comparison of strategies; 2.5.2. Retraction curve processing; 2.5.3. Force-volume image processing in the approach phase; 2.6. Conclusion; 2.7. Bibliography; 3: Polarimetric Image Restoration by Non-local Means; 3.1. Introduction; 3.2. Light polarization and the Stokes-Mueller formalism; 3.3. Estimation of the Stokes vectors; 3.3.1. Estimation of the Stokes vector in a pixel; 3.3.1.1. Problem formulation 3.3.1.2. Properties of the constrained optimization problem3.3.1.3. Optimization algorithm; 3.3.2. Non-local means filtering; 3.3.3. Adaptive non-local means filtering; 3.3.3.1. The function φ; 3.3.3.2. Patches size and shape; 3.3.4. Application to the estimation of Stokes vectors; 3.4. Results; 3.4.1. Results with synthetic data; 3.4.1.1. Synthetic data and context evaluation presentation; 3.4.1.2. Results; 3.4.1.3. Significance of the proposed method for the estimation of the weights; 3.4.2. Results with real data; 3.5. Conclusion; 3.6. Bibliography 4: Video Processing and Regularized Inversion Methods |
Record Nr. | UNINA-9910828770503321 |
London, [England] ; ; Hoboken, New Jersey : , : ISTE Limited : , : Hoboken, New Jersey, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Special program on inverse problems / / edited by R.S. Anderssen and G.N. Newsam |
Altri autori (Persone) |
AnderssenR. S
NewsamG. N <1955-> (Garry Neil) |
Soggetto topico | Inverse problems (Differential equations) |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Optimality in numerical differentiation / A.R. Davies -- Some remarks on algebraic inverse problems / Lars Eldén -- Projection-regularization methods for linear operator equations of the first kind / Heinz W. Engl and Charles W. Groetsch -- Inverse problems using nodal position data / Ole H. Hald and Joyce R. McLaughlin -- Towards the identification of ordinary differential equations from measurements / K.-H. Hoffmann and J. Sprekels -- Some remarks on inverse and extremal eigenvalue problems / Michael L. Overton -- On the asymptotic distribution of the eigenvalues of discretizations of a compact operator / Garry N. Newsam -- Regularization applied to the recovery of piecewise constant Sturm-Liouville potentials / John Paine -- Numerical solution of the magnetic relief problem / Katarzyna Jonca and Curtis R. Vogel. |
Record Nr. | UNINA-9910482876803321 |
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|