Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Accelerator-Driven System at Kyoto University Critical Assembly
| Accelerator-Driven System at Kyoto University Critical Assembly |
| Autore | Pyeon Cheol Ho |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (353 pages) |
| Soggetto topico |
Atomic & molecular physics
Nuclear power & engineering Spectrum analysis, spectrochemistry, mass spectrometry Particle & high-energy physics |
| Soggetto non controllato |
Nuclear Physics, Heavy Ions, Hadrons
Nuclear Energy Nuclear Chemistry Particle Acceleration and Detection, Beam Physics Nuclear Physics Accelerator Physics Open Access Reactor Physics Experiments ADS KUCA Subcriticality Measurement Kinetics Parameter Estimation in Subcritical State Nuclear Transmutation Uncertainty Quantification Atomic & molecular physics Nuclear power & engineering Nuclear chemistry, photochemistry & radiation Particle & high-energy physics |
| ISBN | 981-16-0344-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Contributors -- 1 Introduction -- 1.1 Kyoto University Critical Assembly -- 1.1.1 KUCA Facility -- 1.1.2 Solid-Moderated and Solid-Reflected Cores -- 1.1.3 Light-Water-Moderated and Light-Water-Reflected Core -- 1.1.4 Pulsed-Neutron Generator -- 1.1.5 Fixed-Field Alternating Gradient Accelerator -- 1.2 Accelerator-Driven System -- 1.2.1 Overview of Research and Development -- 1.2.2 Feasibility Study at KUCA -- References -- 2 Subcriticality -- 2.1 Feynman-α and Rossi-α Analyses -- 2.1.1 Experimental Settings -- 2.1.2 Formulae for Data Analyses -- 2.1.3 Results and Discussion -- 2.2 Power Spectral Analyses -- 2.2.1 Experimental Settings -- 2.2.2 Formula for Power Spectral Analyses -- 2.2.3 Results and Discussion -- 2.3 Beam Trip and Restart Methods -- 2.3.1 Experimental Settings -- 2.3.2 Data Analyses Method -- 2.3.3 Results and Discussion -- 2.4 Conclusion -- References -- 3 Reactor Kinetics -- 3.1 α-Fitting Method -- 3.1.1 Experimental Settings -- 3.1.2 Numerical Simulations -- 3.1.3 Results and Discussion -- 3.2 Pulsed-Neutron Source Method -- 3.2.1 Experimental Settings -- 3.2.2 Results and Discussion -- 3.3 Inverse Kinetic Method -- 3.3.1 Theoretical Background -- 3.3.2 Experimental Settings -- 3.3.3 Transient Analyses -- 3.4 Conclusion -- References -- 4 Effective Delayed Neutron Fraction -- 4.1 Dependency of External Neutron Source -- 4.1.1 Experimental Settings -- 4.1.2 Numerical Simulations -- 4.1.3 k-Ratio Method -- 4.2 Measurement -- 4.2.1 Nelson Number Method -- 4.2.2 Experimental Settings -- 4.2.3 Results and Discussion -- 4.3 Evaluation of βeff/Λ -- 4.3.1 Experimental Settings -- 4.3.2 Kinetics Parameters -- 4.3.3 Results and Discussion -- 4.4 Neutron Generation Time -- 4.4.1 Experimental Settings -- 4.4.2 Results and Discussion -- 4.5 Conclusion -- References -- 5 Neutron Spectrum.
5.1 Subcritical Multiplication Factor -- 5.1.1 Theoretical Background -- 5.1.2 Characteristics of the Target -- 5.1.3 Effects of Neutron Spectrum -- 5.2 Threshold Energy Reactions -- 5.2.1 Foil Activation Method -- 5.2.2 Activation Foils -- 5.3 Spectrum Index -- 5.3.1 Cd Ratio -- 5.3.2 In Ratio -- 5.4 Spallation Neutrons -- 5.4.1 Neutron Spectrum Analyses -- 5.4.2 Reaction Rates -- 5.5 Conclusion -- References -- 6 Nuclear Transmutation of Minor Actinide -- 6.1 Integral Experiments at Critical State -- 6.1.1 Critical Irradiation Experiments -- 6.1.2 Experimental Analyses -- 6.1.3 Discussion -- 6.2 ADS Irradiation at Subcritical State -- 6.2.1 Experimental Settings -- 6.2.2 Demonstration of Nuclear Transmutation -- 6.3 Conclusion -- References -- 7 Neutronics of Lead and Bismuth -- 7.1 Sample Reactivity Worth Experiments -- 7.1.1 Core Configuration -- 7.1.2 Experimental Settings -- 7.2 Monte Carlo Analyses -- 7.2.1 Evaluation Method -- 7.2.2 Lead Sample Reactivity Worth -- 7.2.3 Bismuth Sample Reactivity Worth -- 7.3 Sensitivity Coefficients -- 7.3.1 Theoretical Background -- 7.3.2 Lead Isotopes -- 7.3.3 Bismuth Isotope -- 7.4 Uncertainty Quantification -- 7.4.1 Theoretical Background -- 7.4.2 Lead Isotopes -- 7.4.3 Bismuth Isotope -- 7.5 Conclusion -- References -- 8 Sensitivity and Uncertainty of Criticality -- 8.1 Experimental Settings -- 8.1.1 Core Configuration -- 8.1.2 Reactivity Measurements -- 8.2 Criticality -- 8.2.1 Numerical Simulations -- 8.2.2 Sensitivity and Uncertainty -- 8.2.3 Results and Discussion -- 8.3 Benchmarks -- 8.3.1 Experimental Analyses -- 8.3.2 Uncertainty -- 8.4 Conclusion -- References -- Appendix A1: Experimental Benchmarks on ADS at Kyoto University Critical Assembly -- A1.1 Experimental Settings of ADS Benchmarks -- A1.1.1 Core Components -- A1.1.2 Atomic Number Density of Core Elements -- References. Appendix A2: 235U-Fueled and Pb-Bi-Zoned ADS Core -- A2.1 Pb-Bi Target -- A2.1.1 Core Configurations -- A2.1.2 Results of Experiments -- A2.1.2.1 Reaction Rate Distribution -- A2.1.2.2 PNS and Feynman-α Methods -- A2.2 Subcriticality Measurements -- A2.2.1 Core Configurations -- A2.2.2 Results of Experiments -- A2.2.3 PNS and Feynman-α Methods -- A2.3 Reaction Rates -- A2.3.1 Core Configurations -- A2.3.2 Reaction Rate Distributions -- A2.3.3 Reaction Rates of Activation Foils -- References -- Appendix A3: 235U-Fueled and Pb-Zoned ADS Core -- A3.1 Core Configurations -- A3.1.1 ADS with 14 MeV Neutrons -- A3.1.2 ADS with 100 MeV Protons -- A3.2 Kinetics Parameters -- A3.2.1 ADS with 14 MeV Neutrons -- A3.2.1.1 Core Condition at Critical State -- A3.2.1.2 Case D1 (4560 HEU Plates) -- A3.2.1.3 Case D2 (4400 HEU Plates) -- A3.2.1.4 Case D3 (4320 HEU Plates) -- A3.2.1.5 Case D4 (4200 HEU Plates) -- A3.2.1.6 Case D5 (4080 HEU Plates) -- A3.2.1.7 Case D6 (3840 HEU Plates) -- A3.2.2 ADS with 100 MeV Protons -- A3.2.2.1 Core Condition at Critical State -- A3.2.2.2 Case F1 (4560 HEU Plates) -- A3.2.2.3 Case F2 (4440 HEU Plates) -- A3.2.2.4 Case F3 (4320 HEU Plates) -- A3.2.2.5 Case F4 (4200 HEU Plates) -- A3.2.2.6 Case F5 (4080 HEU Plates) -- A3.2.2.7 Case F6 (3960 HEU Plates) -- A3.2.2.8 Case F7 (3840 HEU Plates) -- A3.3 Reaction Rates -- A3.3.1 Core Configurations -- A3.3.2 Reaction Rate Distribution -- References -- Appendix A4: 235U-Fueled ADS Core in Medium-Fast Spectrum -- A4.1 Core Configurations -- A4.1.1 ADS with 14 MeV Neutrons -- A4.1.2 ADS with 100 MeV Protons -- A4.2 Results of Experiments -- A4.2.1 Criticality and Control Rod Worth -- A4.2.2 PNS and Feynman-α Methods -- A4.3 Kinetic Parameters -- A4.3.1 ADS with 14 MeV Neutrons -- A4.3.2 ADS with 100 MeV Protons -- A4.4 Reaction Rates -- A4.4.1 Core Configurations. A4.4.2 Reaction Rate Distributions -- A4.4.3 Reaction Rates of Activation Foils -- References -- Appendix A5: 232Th-Fueled ADS Core -- A5.1 Core Configurations -- A5.2 Results of Experiments -- A5.2.1 Reaction Rate Distributions -- A5.2.2 PNS and Feynman-α Methods -- References. |
| Record Nr. | UNISA-996466748203316 |
Pyeon Cheol Ho
|
||
| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Accelerator-Driven System at Kyoto University Critical Assembly
| Accelerator-Driven System at Kyoto University Critical Assembly |
| Autore | Pyeon Cheol Ho |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (353 pages) |
| Soggetto topico |
Atomic & molecular physics
Nuclear power & engineering Spectrum analysis, spectrochemistry, mass spectrometry Particle & high-energy physics |
| Soggetto non controllato |
Nuclear Physics, Heavy Ions, Hadrons
Nuclear Energy Nuclear Chemistry Particle Acceleration and Detection, Beam Physics Nuclear Physics Accelerator Physics Open Access Reactor Physics Experiments ADS KUCA Subcriticality Measurement Kinetics Parameter Estimation in Subcritical State Nuclear Transmutation Uncertainty Quantification Atomic & molecular physics Nuclear power & engineering Nuclear chemistry, photochemistry & radiation Particle & high-energy physics |
| ISBN | 981-16-0344-8 |
| Classificazione | SCI013060SCI051000TEC028000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Contributors -- 1 Introduction -- 1.1 Kyoto University Critical Assembly -- 1.1.1 KUCA Facility -- 1.1.2 Solid-Moderated and Solid-Reflected Cores -- 1.1.3 Light-Water-Moderated and Light-Water-Reflected Core -- 1.1.4 Pulsed-Neutron Generator -- 1.1.5 Fixed-Field Alternating Gradient Accelerator -- 1.2 Accelerator-Driven System -- 1.2.1 Overview of Research and Development -- 1.2.2 Feasibility Study at KUCA -- References -- 2 Subcriticality -- 2.1 Feynman-α and Rossi-α Analyses -- 2.1.1 Experimental Settings -- 2.1.2 Formulae for Data Analyses -- 2.1.3 Results and Discussion -- 2.2 Power Spectral Analyses -- 2.2.1 Experimental Settings -- 2.2.2 Formula for Power Spectral Analyses -- 2.2.3 Results and Discussion -- 2.3 Beam Trip and Restart Methods -- 2.3.1 Experimental Settings -- 2.3.2 Data Analyses Method -- 2.3.3 Results and Discussion -- 2.4 Conclusion -- References -- 3 Reactor Kinetics -- 3.1 α-Fitting Method -- 3.1.1 Experimental Settings -- 3.1.2 Numerical Simulations -- 3.1.3 Results and Discussion -- 3.2 Pulsed-Neutron Source Method -- 3.2.1 Experimental Settings -- 3.2.2 Results and Discussion -- 3.3 Inverse Kinetic Method -- 3.3.1 Theoretical Background -- 3.3.2 Experimental Settings -- 3.3.3 Transient Analyses -- 3.4 Conclusion -- References -- 4 Effective Delayed Neutron Fraction -- 4.1 Dependency of External Neutron Source -- 4.1.1 Experimental Settings -- 4.1.2 Numerical Simulations -- 4.1.3 k-Ratio Method -- 4.2 Measurement -- 4.2.1 Nelson Number Method -- 4.2.2 Experimental Settings -- 4.2.3 Results and Discussion -- 4.3 Evaluation of βeff/Λ -- 4.3.1 Experimental Settings -- 4.3.2 Kinetics Parameters -- 4.3.3 Results and Discussion -- 4.4 Neutron Generation Time -- 4.4.1 Experimental Settings -- 4.4.2 Results and Discussion -- 4.5 Conclusion -- References -- 5 Neutron Spectrum.
5.1 Subcritical Multiplication Factor -- 5.1.1 Theoretical Background -- 5.1.2 Characteristics of the Target -- 5.1.3 Effects of Neutron Spectrum -- 5.2 Threshold Energy Reactions -- 5.2.1 Foil Activation Method -- 5.2.2 Activation Foils -- 5.3 Spectrum Index -- 5.3.1 Cd Ratio -- 5.3.2 In Ratio -- 5.4 Spallation Neutrons -- 5.4.1 Neutron Spectrum Analyses -- 5.4.2 Reaction Rates -- 5.5 Conclusion -- References -- 6 Nuclear Transmutation of Minor Actinide -- 6.1 Integral Experiments at Critical State -- 6.1.1 Critical Irradiation Experiments -- 6.1.2 Experimental Analyses -- 6.1.3 Discussion -- 6.2 ADS Irradiation at Subcritical State -- 6.2.1 Experimental Settings -- 6.2.2 Demonstration of Nuclear Transmutation -- 6.3 Conclusion -- References -- 7 Neutronics of Lead and Bismuth -- 7.1 Sample Reactivity Worth Experiments -- 7.1.1 Core Configuration -- 7.1.2 Experimental Settings -- 7.2 Monte Carlo Analyses -- 7.2.1 Evaluation Method -- 7.2.2 Lead Sample Reactivity Worth -- 7.2.3 Bismuth Sample Reactivity Worth -- 7.3 Sensitivity Coefficients -- 7.3.1 Theoretical Background -- 7.3.2 Lead Isotopes -- 7.3.3 Bismuth Isotope -- 7.4 Uncertainty Quantification -- 7.4.1 Theoretical Background -- 7.4.2 Lead Isotopes -- 7.4.3 Bismuth Isotope -- 7.5 Conclusion -- References -- 8 Sensitivity and Uncertainty of Criticality -- 8.1 Experimental Settings -- 8.1.1 Core Configuration -- 8.1.2 Reactivity Measurements -- 8.2 Criticality -- 8.2.1 Numerical Simulations -- 8.2.2 Sensitivity and Uncertainty -- 8.2.3 Results and Discussion -- 8.3 Benchmarks -- 8.3.1 Experimental Analyses -- 8.3.2 Uncertainty -- 8.4 Conclusion -- References -- Appendix A1: Experimental Benchmarks on ADS at Kyoto University Critical Assembly -- A1.1 Experimental Settings of ADS Benchmarks -- A1.1.1 Core Components -- A1.1.2 Atomic Number Density of Core Elements -- References. Appendix A2: 235U-Fueled and Pb-Bi-Zoned ADS Core -- A2.1 Pb-Bi Target -- A2.1.1 Core Configurations -- A2.1.2 Results of Experiments -- A2.1.2.1 Reaction Rate Distribution -- A2.1.2.2 PNS and Feynman-α Methods -- A2.2 Subcriticality Measurements -- A2.2.1 Core Configurations -- A2.2.2 Results of Experiments -- A2.2.3 PNS and Feynman-α Methods -- A2.3 Reaction Rates -- A2.3.1 Core Configurations -- A2.3.2 Reaction Rate Distributions -- A2.3.3 Reaction Rates of Activation Foils -- References -- Appendix A3: 235U-Fueled and Pb-Zoned ADS Core -- A3.1 Core Configurations -- A3.1.1 ADS with 14 MeV Neutrons -- A3.1.2 ADS with 100 MeV Protons -- A3.2 Kinetics Parameters -- A3.2.1 ADS with 14 MeV Neutrons -- A3.2.1.1 Core Condition at Critical State -- A3.2.1.2 Case D1 (4560 HEU Plates) -- A3.2.1.3 Case D2 (4400 HEU Plates) -- A3.2.1.4 Case D3 (4320 HEU Plates) -- A3.2.1.5 Case D4 (4200 HEU Plates) -- A3.2.1.6 Case D5 (4080 HEU Plates) -- A3.2.1.7 Case D6 (3840 HEU Plates) -- A3.2.2 ADS with 100 MeV Protons -- A3.2.2.1 Core Condition at Critical State -- A3.2.2.2 Case F1 (4560 HEU Plates) -- A3.2.2.3 Case F2 (4440 HEU Plates) -- A3.2.2.4 Case F3 (4320 HEU Plates) -- A3.2.2.5 Case F4 (4200 HEU Plates) -- A3.2.2.6 Case F5 (4080 HEU Plates) -- A3.2.2.7 Case F6 (3960 HEU Plates) -- A3.2.2.8 Case F7 (3840 HEU Plates) -- A3.3 Reaction Rates -- A3.3.1 Core Configurations -- A3.3.2 Reaction Rate Distribution -- References -- Appendix A4: 235U-Fueled ADS Core in Medium-Fast Spectrum -- A4.1 Core Configurations -- A4.1.1 ADS with 14 MeV Neutrons -- A4.1.2 ADS with 100 MeV Protons -- A4.2 Results of Experiments -- A4.2.1 Criticality and Control Rod Worth -- A4.2.2 PNS and Feynman-α Methods -- A4.3 Kinetic Parameters -- A4.3.1 ADS with 14 MeV Neutrons -- A4.3.2 ADS with 100 MeV Protons -- A4.4 Reaction Rates -- A4.4.1 Core Configurations. A4.4.2 Reaction Rate Distributions -- A4.4.3 Reaction Rates of Activation Foils -- References -- Appendix A5: 232Th-Fueled ADS Core -- A5.1 Core Configurations -- A5.2 Results of Experiments -- A5.2.1 Reaction Rate Distributions -- A5.2.2 PNS and Feynman-α Methods -- References. |
| Record Nr. | UNINA-9910473449803321 |
|
Pyeon Cheol Ho
|
||
| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Mathematical Sciences : AWM Research Symposium, Houston, TX, April 2019 / Bahar Acu ... [et al.] editors
| Advances in Mathematical Sciences : AWM Research Symposium, Houston, TX, April 2019 / Bahar Acu ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiii, 369 p. : ill. ; 24 cm |
| Soggetto topico |
13-XX - Commutative algebra [MSC 2020]
35-XX - Partial differential equations [MSC 2020] 65-XX - Numerical analysis [MSC 2020] 05-XX - Combinatorics [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 54-XX - General topology [MSC 2020] 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020] 97-XX - Mathematics education [MSC 2020] |
| Soggetto non controllato |
Algebraic Combinatorics
Algebraic biology Braid Groups Combinatorics Data science Education research Ensemble Kalman filter Higher order elliptic problems Math education Noncommutative algebra Parameter Estimation Patricle methods Periodic parameters Professional development Quantum symmetry School and district support Sequential Monte Carlo Student enrichment programs Symplectic and contact topology Uncertainty Quantification |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248597 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advances in Mathematical Sciences : AWM Research Symposium, Houston, TX, April 2019 / Bahar Acu ... [et al.] editors
| Advances in Mathematical Sciences : AWM Research Symposium, Houston, TX, April 2019 / Bahar Acu ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiii, 369 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
05-XX - Combinatorics [MSC 2020] 13-XX - Commutative algebra [MSC 2020] 35-XX - Partial differential equations [MSC 2020] 54-XX - General topology [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 65-XX - Numerical analysis [MSC 2020] 97-XX - Mathematics education [MSC 2020] |
| Soggetto non controllato |
Algebraic Combinatorics
Algebraic biology Braid Groups Combinatorics Data science Education research Ensemble Kalman filter Higher order elliptic problems Math education Noncommutative algebra Parameter Estimation Patricle methods Periodic parameters Professional development Quantum symmetry School and district support Sequential Monte Carlo Student enrichment programs Symplectic and contact topology Uncertainty Quantification |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248597 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs / Dinh Dũng, ... [et al.]
| Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs / Dinh Dũng, ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xv, 207 p. ; 24 cm |
| Soggetto topico |
33C45 - Orthogonal polynomials and functions of hypergeometric type (Jacobi, Laguerre, Hermite, Askey scheme, etc.) [MSC 2020]
65N30 - Finite elements, Rayleigh-Ritz and Galerkin methods, finite methods for boundary value problems involving PDEs [MSC 2020] 41A25 - Rate of convergence, degree of approximation [MSC 2020] 41A46 - Approximation by arbitrary nonlinear expressions; widths and entropy [MSC 2020] 35J15 - Second order elliptic equations [MSC 2020] 28C20 - Set functions and measures and integrals in infinite-dimensional spaces (Wiener measure, Gaussian measure, etc.) [MSC 2020] 65N15 - Error bounds for boundary value problems involving PDEs [MSC 2020] 35B30 - Dependence of solutions to PDEs on initial and/or boundary data and/or on parameters of PDEs [MSC 2020] 65N21 - Numerical methods for inverse problems for boundary value problems involving PDEs [MSC 2020] 35J57 - Boundary value problems for second-order elliptic systems [MSC 2020] 65D40 - Numerical approximation of high-dimensional functions; sparse grids [MSC 2020] |
| Soggetto non controllato |
Finite element methods
Gaussian measures High-dimensional approximation Parametric and Stochastic PDE Partial differential equations Polynomial chaos Smolyak Quadrature Sparse-Grid Interpolation Uncertainty Quantification |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0269844 |
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs / Dinh Dũng ... [et al.]
| Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs / Dinh Dũng ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xv, 207 p. ; 24 cm |
| Soggetto topico |
28C20 - Set functions and measures and integrals in infinite-dimensional spaces (Wiener measure, Gaussian measure, etc.) [MSC 2020]
33C45 - Orthogonal polynomials and functions of hypergeometric type (Jacobi, Laguerre, Hermite, Askey scheme, etc.) [MSC 2020] 35B30 - Dependence of solutions to PDEs on initial and/or boundary data and/or on parameters of PDEs [MSC 2020] 35J15 - Second order elliptic equations [MSC 2020] 35J57 - Boundary value problems for second-order elliptic systems [MSC 2020] 41A25 - Rate of convergence, degree of approximation [MSC 2020] 41A46 - Approximation by arbitrary nonlinear expressions; widths and entropy [MSC 2020] 65D40 - Numerical approximation of high-dimensional functions; sparse grids [MSC 2020] 65N15 - Error bounds for boundary value problems involving PDEs [MSC 2020] 65N21 - Numerical methods for inverse problems for boundary value problems involving PDEs [MSC 2020] 65N30 - Finite elements, Rayleigh-Ritz and Galerkin methods, finite methods for boundary value problems involving PDEs [MSC 2020] |
| Soggetto non controllato |
Finite element methods
Gaussian measures High-dimensional approximation Parametric and Stochastic PDE Partial Differential Equations Polynomial chaos Smolyak Quadrature Sparse-Grid Interpolation Uncertainty Quantification |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00269844 |
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Nonparametric Statistics : École d’Été de Probabilités de Saint-Flour LI - 2023 / Ismaël Castillo
| Bayesian Nonparametric Statistics : École d’Été de Probabilités de Saint-Flour LI - 2023 / Ismaël Castillo |
| Autore | Castillo, Ismaël |
| Pubbl/distr/stampa | Cham, : Springer, 2024 |
| Descrizione fisica | xii, 216 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
| Soggetto non controllato |
Bayesian Deep Neural Networks
Bayesian Inference Bernstein-von Mises Theorems High-Dimensional Models Nonparametric Models Posterior distributions Uncertainty Quantification Variational Bayes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00286238 |
|
Castillo, Ismaël
|
||
| Cham, : Springer, 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Design Methods for Reducing Failure Probabilities with Examples from Electrical Engineering : Doctoral Thesis accepted by Technische Universität Darmstadt, Germany / Mona Fuhrländer
| Design Methods for Reducing Failure Probabilities with Examples from Electrical Engineering : Doctoral Thesis accepted by Technische Universität Darmstadt, Germany / Mona Fuhrländer |
| Autore | Fuhrländer, Mona |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xxii, 153 p. : ill. ; 24 cm |
| Soggetto non controllato |
Adaptive Newton-Monte Carlo method
Design and Optimization of Electrotechnical Devices Gaussian process regression Hermite BOBYQA Hermite Least Squares Optimization Hybrid Monte Carlo Method Manufacturing Uncertainties Maxwell’s equations Mixed Gradient Optimization Modeling Electromagnetic Phenomena Multi-objective Yield Optimization Permanent Magnet Synchronous Machine Robust Design Optimization Stochastic Collocation Uncertainty Quantification Yield Optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0279424 |
|
Fuhrländer, Mona
|
||
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Design Methods for Reducing Failure Probabilities with Examples from Electrical Engineering : Doctoral Thesis accepted by Technische Universität Darmstadt, Germany / Mona Fuhrländer
| Design Methods for Reducing Failure Probabilities with Examples from Electrical Engineering : Doctoral Thesis accepted by Technische Universität Darmstadt, Germany / Mona Fuhrländer |
| Autore | Fuhrländer, Mona |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xxii, 153 p. : ill. ; 24 cm |
| Soggetto topico |
00A79 (77-XX) - Physics [MSC 2020]
62-XX - Statistics [MSC 2020] 90-XX - Operations research, mathematical programming [MSC 2020] |
| Soggetto non controllato |
Adaptive Newton-Monte Carlo method
Design and Optimization of Electrotechnical Devices Gaussian process regression Hermite BOBYQA Hermite Least Squares Optimization Hybrid Monte Carlo Method Manufacturing Uncertainties Maxwell’s equations Mixed Gradient Optimization Modeling Electromagnetic Phenomena Multi-objective Yield Optimization Permanent Magnet Synchronous Machine Robust Design Optimization Stochastic Collocation Uncertainty Quantification Yield Optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00279424 |
|
Fuhrländer, Mona
|
||
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Design Optimization Under Uncertainty / Weifei Hu
| Design Optimization Under Uncertainty / Weifei Hu |
| Autore | Hu, Weifei |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xiii, 274 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020] |
| Soggetto non controllato |
Design Optimization
Design Under Uncertainty Machine learning Probabilistic method Reliability analysis Reliability-Based Design Optimization Robust Design Optimization Surrogate modeling Time-Variant Reliability Analysis Uncertainty Quantification Verification and validation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278775 |
|
Hu, Weifei
|
||
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
