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Record Nr. |
UNISA990000920720203316 |
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Autore |
OBERHAMMER, Gerhard |
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Titolo |
Versuch einer transzendentalen hermeneutik religioser traditionen / Gerhard Oberhammer |
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Pubbl/distr/stampa |
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Wien : Institute for indology der Universitat Wien, 1987 |
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Descrizione fisica |
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Collana |
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Publications of the De Nobili research library , Occasional papers ; 3 |
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Disciplina |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910144135503321 |
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Autore |
Pinder George Francis <1942-> |
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Titolo |
Essentials of multiphase flow and transport in porous media [[electronic resource] /] / George F. Pinder, William G. Gray |
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Pubbl/distr/stampa |
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Hoboken, N.J., : Wiley, c2008 |
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ISBN |
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1-281-75203-7 |
9786611752033 |
0-470-38080-2 |
0-470-38079-9 |
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Descrizione fisica |
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1 online resource (273 p.) |
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Altri autori (Persone) |
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GrayWilliam G <1948-> (William Guerin) |
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Disciplina |
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Soggetti |
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Porous materials - Fluid dynamics - Mathematical models |
Multiphase flow - Mathematical models |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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ESSENTIALS OF MULTIPHASE FLOW AND TRANSPORT IN POROUS MEDIA; CONTENTS; Preface; Acknowledgments; 1 Setting the Stage; 1.1 Introduction; 1.2 Phases and Porous Media; 1.3 Grain and Pore Size Distributions; 1.4 The Concept of Saturation; 1.5 The Concept of Pressure; 1.6 Surface Tension Considerations; 1.7 Concept of Concentration; 1.8 Summary; 1.9 Exercises; Bibliography; 2 Mass Conservation Equations; 2.1 Introduction; 2.2 Microscale Mass Conservation; 2.3 Integral Forms of Mass Conservation; 2.4 Integral Theorems; 2.4.1 Divergence Theorem; 2.4.2 Transport Theorem |
2.5 Point Forms of Mass Conservation2.6 The Macroscale Perspective; 2.6.1 The Representative Elementary Volume; 2.6.2 Global and Local Coordinate Systems; 2.6.3 Macroscopic Variables; 2.6.4 Definitions of Macroscale Quantities; 2.6.5 Summary of Macroscale Quantities; 2.7 The Averaging Theorems; 2.7.1 Spatial Averaging Theorem; 2.7.2 Temporal Averaging Theorem; 2.8 Macroscale Mass Conservation; 2.8.1 Macroscale Point Forms; 2.8.2 Integral Forms; 2.9 Applications; 2.9.1 Integral Analysis; 2.9.2 Point Analysis; 2.10 Summary; 2.11 Exercises; Bibliography; 3 Flow Equations; 3.1 Introduction |
3.2 Darcy's Experiments3.3 Fluid Properties; 3.4 Equations of State for Fluids; 3.4.1 Mass Fraction; 3.4.2 Mass Density and Pressure; 3.4.3 Fluid Viscosity; 3.5 Hydraulic Potential; 3.5.1 Hydrostatic Force and Hydraulic Head; 3.5.2 Derivatives of Hydraulic Head; 3.6 Single-Phase Fluid Flow; 3.6.1 Darcy's Law; 3.6.2 Hydraulic Conductivity and Permeability; 3.6.3 Derivation of Groundwater Flow Equation; 3.6.4 Recapitulation of the Derivation; 3.6.5 Initial and Boundary Conditions; 3.6.6 Two-Dimensional Flow; 3.7 Two-Phase Immiscible Flow; 3.7.1 Derivation of Flow Equations |
3.7.2 Observations on the p(c)-s(w) Relationship3.7.3 Formulas for the p(c)-s(w) Relationship; 3.7.4 Observations of the k(α)(rel)-s(w) Relationship; 3.7.5 Formulas for the k(α)(rel)-s(w) Relation; 3.7.6 Special Cases of Multiphase Flow; 3.8 The Buckley-Leverett Analysis; 3.8.1 Fractional Flow; 3.8.2 Derivation of the Buckley-Leverett Equation; 3.8.3 Solution of the Buckley-Leverett Equation; 3.9 Summary; 3.10 Exercises; Bibliography; 4 Mass Transport Equations; 4.1 Introduction; 4.2 Velocity in the Species Transport Equations; 4.2.1 Direct Approach; 4.2.2 Rigorous Approach |
4.2.3 Distribution Approach4.2.4 Summary; 4.3 Closure Relations for the Dispersion Vector; 4.4 Chemical Reaction Rates; 4.5 Interphase Transfer Terms; 4.5.1 Kinetic Formulation; 4.5.2 Equilibrium Formulation; 4.5.3 Summary: Kinetic vs. Equilibrium Formulations; 4.6 Initial and Boundary Conditions; 4.7 Conclusion; 4.8 Exercises; Bibliography; 5 Simulation; 5.1 1-D Simulation of Air-Water Flow; 5.1.1 Drainage in a Homogeneous Soil; 5.1.2 Drainage in a Heterogeneous Soil; 5.1.3 Imbibition in Homogeneous Soil; 5.2 1-D Simulation of DNAPL-Water Flow |
5.2.1 Primary DNAPL Imbibition in Homogeneous Soil |
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Sommario/riassunto |
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Learn the fundamental concepts that underlie the physics of multiphase flow and transport in porous media with the information in Essentials of Multiphase Flow in Porous Media, which demonstrates the mathematical-physical ways to express and address multiphase flow problems. Find a logical, step-by-step introduction to everything from the simple concepts to the advanced equations useful for addressing real-world problems like infiltration, groundwater contamination, and movement of non-aqueous phase liquids. Discover and apply the governing equations for application to these and other p |
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3. |
Record Nr. |
UNINA9910557660803321 |
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Autore |
Nielsen Jens Perch |
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Titolo |
Machine Learning in Insurance |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
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Descrizione fisica |
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1 online resource (260 p.) |
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Soggetti |
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History of engineering and technology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Machine learning is a relatively new field, without a unanimous definition. In many ways, actuaries have been machine learners. In both pricing and reserving, but also more recently in capital modelling, actuaries have combined statistical methodology with a deep understanding of the problem at hand and how any solution may affect the company and its customers. One aspect that has, perhaps, not been so well developed among actuaries is validation. Discussions among actuaries' "preferred methods" were often without solid scientific arguments, including validation of the case at hand. Through this collection, we aim to promote a good practice of machine learning in insurance, considering the following three key issues: a) who is the client, or sponsor, or otherwise interested real-life target of the study? b) The reason for working with a particular data set and a clarification of the available extra knowledge, that we also call prior knowledge, besides the data set alone. c) A mathematical statistical argument for the validation procedure. |
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