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Agent-based and individual-based modeling : a practical introduction / Steven F. Railsback and Volker Grimm
| Agent-based and individual-based modeling : a practical introduction / Steven F. Railsback and Volker Grimm |
| Autore | Railsback, Steven F. |
| Pubbl/distr/stampa | Princeton : Princeton University Press, 2012 |
| Descrizione fisica | xviii, 329 p. : ill. ; 26 cm |
| Disciplina | 006.3 |
| Altri autori (Persone) | Grimm, Volkerauthor |
| Soggetto topico |
Multiagent systems - Textbooks
Science - Mathematical models |
| ISBN | 9780691136745 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991001707519707536 |
Railsback, Steven F.
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| Princeton : Princeton University Press, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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American journal of computational mathematics
| American journal of computational mathematics |
| Pubbl/distr/stampa | Irvine, CA, : Scientic Research Pub |
| Disciplina | 511 |
| Soggetto topico |
Numerical analysis
Mathematical analysis Computer algorithms Science - Mathematics Science - Mathematical models |
| Soggetto genere / forma | Periodicals. |
| ISSN | 2161-1211 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | AJCM |
| Record Nr. | UNINA-9910891334503321 |
| Irvine, CA, : Scientic Research Pub | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Aspects of mathematical modelling [[electronic resource] ] : applications in science, medicine, economics and management / / Roger J. Hosking, Ezio Venturino, editors
| Aspects of mathematical modelling [[electronic resource] ] : applications in science, medicine, economics and management / / Roger J. Hosking, Ezio Venturino, editors |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Basel ; ; Boston, : Birkhäuser, c2008 |
| Descrizione fisica | 1 online resource (372 p.) |
| Disciplina | 511/.8 |
| Altri autori (Persone) |
HoskingR. J
VenturinoEzio |
| Collana | Mathematics and biosciences in interaction |
| Soggetto topico |
System analysis - Simulation methods
Science - Mathematical models Economics - Mathematical models Management science - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-24211-X
9786611242114 3-7643-8591-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mathematical Models of Pattern Formation in Planktonic Predation-Diffusion Systems: A Review -- Toward a General Theory of Ecosystem Stability: Plankton-Nutrient Interaction as a Paradigm -- Nutrient, Non-toxic Phytoplankton, Toxic Phytoplankton and Zooplankton Interaction in an Open Marine System -- Stability and Optimal Harvesting in a Stage Structure Predator-Prey Switching Strategy -- Insecticidal Bt Crops Under Massive Bt-resistant Pest Invasion: Mathematical Simulation -- Reducing the Emission of Pollutants in Industrial Wastewater through the Use of Membrane Bioreactors -- Model Hysteresis Dimer Molecule. I. Equilibrium Properties -- Model Hysteresis Dimer Molecule. II. Deductions from Probability Profiles -- Mathematical Modelling and Simulation of Coronary Blood Flow -- Modelling Vaccine Protocols -- Modelling the Response of Intracranial Pressure to Microgravity Environments -- “Noisy Oncology”: Some Caveats in using Gaussian Noise in Mathematical Models of Chemotherapy -- Phylogenetic Analysis, Split Systems and Boolean Functions -- Exponential Convergence Analysis of DCNNs having Unbounded Activations and Inhibitory Self-Connections -- The Single-Vendor Multi-Buyer Integrated Inventory Problem: an Heuristic Solution Technique -- A Term Structured Volatility Model of Poll Data and its Application to Election Timing -- Estimation for the Semiparametric Transformation Model under General Censorship -- Integer Programming Models of Bookmobile Routing -- Instability and Sustained Oscillations in Neo-Classical Growth Models with Unemployment -- A Bass-type Model for a Dynamic Market with Logistic Growth -- A Wavelet Neural Network applied to Textile Spinning. |
| Record Nr. | UNINA-9910451162603321 |
| Basel ; ; Boston, : Birkhäuser, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Aspects of mathematical modelling [[electronic resource] ] : applications in science, medicine, economics and management / / Roger J. Hosking, Ezio Venturino, editors
| Aspects of mathematical modelling [[electronic resource] ] : applications in science, medicine, economics and management / / Roger J. Hosking, Ezio Venturino, editors |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Basel ; ; Boston, : Birkhäuser, c2008 |
| Descrizione fisica | 1 online resource (372 p.) |
| Disciplina | 511/.8 |
| Altri autori (Persone) |
HoskingR. J
VenturinoEzio |
| Collana | Mathematics and biosciences in interaction |
| Soggetto topico |
System analysis - Simulation methods
Science - Mathematical models Economics - Mathematical models Management science - Mathematical models |
| ISBN |
1-281-24211-X
9786611242114 3-7643-8591-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mathematical Models of Pattern Formation in Planktonic Predation-Diffusion Systems: A Review -- Toward a General Theory of Ecosystem Stability: Plankton-Nutrient Interaction as a Paradigm -- Nutrient, Non-toxic Phytoplankton, Toxic Phytoplankton and Zooplankton Interaction in an Open Marine System -- Stability and Optimal Harvesting in a Stage Structure Predator-Prey Switching Strategy -- Insecticidal Bt Crops Under Massive Bt-resistant Pest Invasion: Mathematical Simulation -- Reducing the Emission of Pollutants in Industrial Wastewater through the Use of Membrane Bioreactors -- Model Hysteresis Dimer Molecule. I. Equilibrium Properties -- Model Hysteresis Dimer Molecule. II. Deductions from Probability Profiles -- Mathematical Modelling and Simulation of Coronary Blood Flow -- Modelling Vaccine Protocols -- Modelling the Response of Intracranial Pressure to Microgravity Environments -- “Noisy Oncology”: Some Caveats in using Gaussian Noise in Mathematical Models of Chemotherapy -- Phylogenetic Analysis, Split Systems and Boolean Functions -- Exponential Convergence Analysis of DCNNs having Unbounded Activations and Inhibitory Self-Connections -- The Single-Vendor Multi-Buyer Integrated Inventory Problem: an Heuristic Solution Technique -- A Term Structured Volatility Model of Poll Data and its Application to Election Timing -- Estimation for the Semiparametric Transformation Model under General Censorship -- Integer Programming Models of Bookmobile Routing -- Instability and Sustained Oscillations in Neo-Classical Growth Models with Unemployment -- A Bass-type Model for a Dynamic Market with Logistic Growth -- A Wavelet Neural Network applied to Textile Spinning. |
| Record Nr. | UNINA-9910784837803321 |
| Basel ; ; Boston, : Birkhäuser, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematical modeling and simulation [[electronic resource] ] : introduction for scientists and engineers / / Kai Velten
| Mathematical modeling and simulation [[electronic resource] ] : introduction for scientists and engineers / / Kai Velten |
| Autore | Velten Kai |
| Pubbl/distr/stampa | Weinheim ; ; Chichester, : Wiley-VCH, 2009 |
| Descrizione fisica | 1 online resource (364 p.) |
| Disciplina |
511.8
511/.8 |
| Soggetto topico |
Mathematical models
Computer simulation Science - Mathematical models Engineering - Mathematical models Science - Computer simulation Engineering - Computer simulation |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-18917-4
9786612189173 3-527-62760-X 3-527-62761-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Mathematical Modeling and Simulation; Contents; Preface; 1 Principles of Mathematical Modeling; 1.1 A Complex World Needs Models; 1.2 Systems, Models, Simulations; 1.2.1 Teleological Nature of Modeling and Simulation; 1.2.2 Modeling and Simulation Scheme; 1.2.3 Simulation; 1.2.4 System; 1.2.5 Conceptual and Physical Models; 1.3 Mathematics as a Natural Modeling Language; 1.3.1 Input-Output Systems; 1.3.2 General Form of Experimental Data; 1.3.3 Distinguished Role of Numerical Data; 1.4 Definition of Mathematical Models; 1.5 Examples and Some More Definitions
1.5.1 State Variables and System Parameters1.5.2 Using Computer Algebra Software; 1.5.3 The Problem Solving Scheme; 1.5.4 Strategies to Set up Simple Models; 1.5.4.1 Mixture Problem; 1.5.4.2 Tank Labeling Problem; 1.5.5 Linear Programming; 1.5.6 Modeling a Black Box System; 1.6 Even More Definitions; 1.6.1 Phenomenological and Mechanistic Models; 1.6.2 Stationary and Instationary models; 1.6.3 Distributed and Lumped models; 1.7 Classification of Mathematical Models; 1.7.1 From Black to White Box Models; 1.7.2 SQM Space Classification: S Axis; 1.7.3 SQM Space Classification: Q Axis 1.7.4 SQM Space Classification: M Axis1.8 Everything Looks Like a Nail?; 2 Phenomenological Models; 2.1 Elementary Statistics; 2.1.1 Descriptive Statistics; 2.1.1.1 Using Calc; 2.1.1.2 Using the R Commander; 2.1.2 Random Processes and Probability; 2.1.2.1 Random Variables; 2.1.2.2 Probability; 2.1.2.3 Densities and Distributions; 2.1.2.4 The Uniform Distribution; 2.1.2.5 The Normal Distribution; 2.1.2.6 Expected Value and Standard Deviation; 2.1.2.7 More on Distributions; 2.1.3 Inferential Statistics; 2.1.3.1 Is Crop A's Yield Really Higher?; 2.1.3.2 Structure of a Hypothesis Test 2.1.3.3 The t test2.1.3.4 Testing Regression Parameters; 2.1.3.5 Analysis of Variance; 2.2 Linear Regression; 2.2.1 The Linear Regression Problem; 2.2.2 Solution Using Software; 2.2.3 The Coefficient of Determination; 2.2.4 Interpretation of the Regression Coefficients; 2.2.5 Understanding LinRegEx1.r; 2.2.6 Nonlinear Linear Regression; 2.3 Multiple Linear Regression; 2.3.1 The Multiple Linear Regression Problem; 2.3.2 Solution Using Software; 2.3.3 Cross-Validation; 2.4 Nonlinear Regression; 2.4.1 The Nonlinear Regression Problem; 2.4.2 Solution Using Software 2.4.3 Multiple Nonlinear Regression2.4.4 Implicit and Vector-Valued Problems; 2.5 Neural Networks; 2.5.1 General Idea; 2.5.2 Feed-Forward Neural Networks; 2.5.3 Solution Using Software; 2.5.4 Interpretation of the Results; 2.5.5 Generalization and Overfitting; 2.5.6 Several Inputs Example; 2.6 Design of Experiments; 2.6.1 Completely Randomized Design; 2.6.2 Randomized Complete Block Design; 2.6.3 Latin Square and More Advanced Designs; 2.6.4 Factorial Designs; 2.6.5 Optimal Sample Size; 2.7 Other Phenomenological Modeling Approaches; 2.7.1 Soft Computing 2.7.1.1 Fuzzy Model of a Washing Machine |
| Record Nr. | UNINA-9910139501003321 |
|
Velten Kai
|
||
| Weinheim ; ; Chichester, : Wiley-VCH, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mathematical modeling and simulation : introduction for scientists and engineers / / Kai Velten
| Mathematical modeling and simulation : introduction for scientists and engineers / / Kai Velten |
| Autore | Velten Kai |
| Pubbl/distr/stampa | Weinheim, Germany : , : Wiley-VCH, , [2009] |
| Descrizione fisica | 1 online resource (364 p.) |
| Disciplina | 511.8 |
| Soggetto topico |
Computer simulation
Science - Mathematical models Science - Computer simulation Engineering - Mathematical models Engineering - Computer simulation Mathematical models |
| ISBN |
1-282-18917-4
9786612189173 3-527-62760-X 3-527-62761-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Mathematical Modeling and Simulation; Contents; Preface; 1 Principles of Mathematical Modeling; 1.1 A Complex World Needs Models; 1.2 Systems, Models, Simulations; 1.2.1 Teleological Nature of Modeling and Simulation; 1.2.2 Modeling and Simulation Scheme; 1.2.3 Simulation; 1.2.4 System; 1.2.5 Conceptual and Physical Models; 1.3 Mathematics as a Natural Modeling Language; 1.3.1 Input-Output Systems; 1.3.2 General Form of Experimental Data; 1.3.3 Distinguished Role of Numerical Data; 1.4 Definition of Mathematical Models; 1.5 Examples and Some More Definitions
1.5.1 State Variables and System Parameters1.5.2 Using Computer Algebra Software; 1.5.3 The Problem Solving Scheme; 1.5.4 Strategies to Set up Simple Models; 1.5.4.1 Mixture Problem; 1.5.4.2 Tank Labeling Problem; 1.5.5 Linear Programming; 1.5.6 Modeling a Black Box System; 1.6 Even More Definitions; 1.6.1 Phenomenological and Mechanistic Models; 1.6.2 Stationary and Instationary models; 1.6.3 Distributed and Lumped models; 1.7 Classification of Mathematical Models; 1.7.1 From Black to White Box Models; 1.7.2 SQM Space Classification: S Axis; 1.7.3 SQM Space Classification: Q Axis 1.7.4 SQM Space Classification: M Axis1.8 Everything Looks Like a Nail?; 2 Phenomenological Models; 2.1 Elementary Statistics; 2.1.1 Descriptive Statistics; 2.1.1.1 Using Calc; 2.1.1.2 Using the R Commander; 2.1.2 Random Processes and Probability; 2.1.2.1 Random Variables; 2.1.2.2 Probability; 2.1.2.3 Densities and Distributions; 2.1.2.4 The Uniform Distribution; 2.1.2.5 The Normal Distribution; 2.1.2.6 Expected Value and Standard Deviation; 2.1.2.7 More on Distributions; 2.1.3 Inferential Statistics; 2.1.3.1 Is Crop A's Yield Really Higher?; 2.1.3.2 Structure of a Hypothesis Test 2.1.3.3 The t test2.1.3.4 Testing Regression Parameters; 2.1.3.5 Analysis of Variance; 2.2 Linear Regression; 2.2.1 The Linear Regression Problem; 2.2.2 Solution Using Software; 2.2.3 The Coefficient of Determination; 2.2.4 Interpretation of the Regression Coefficients; 2.2.5 Understanding LinRegEx1.r; 2.2.6 Nonlinear Linear Regression; 2.3 Multiple Linear Regression; 2.3.1 The Multiple Linear Regression Problem; 2.3.2 Solution Using Software; 2.3.3 Cross-Validation; 2.4 Nonlinear Regression; 2.4.1 The Nonlinear Regression Problem; 2.4.2 Solution Using Software 2.4.3 Multiple Nonlinear Regression2.4.4 Implicit and Vector-Valued Problems; 2.5 Neural Networks; 2.5.1 General Idea; 2.5.2 Feed-Forward Neural Networks; 2.5.3 Solution Using Software; 2.5.4 Interpretation of the Results; 2.5.5 Generalization and Overfitting; 2.5.6 Several Inputs Example; 2.6 Design of Experiments; 2.6.1 Completely Randomized Design; 2.6.2 Randomized Complete Block Design; 2.6.3 Latin Square and More Advanced Designs; 2.6.4 Factorial Designs; 2.6.5 Optimal Sample Size; 2.7 Other Phenomenological Modeling Approaches; 2.7.1 Soft Computing 2.7.1.1 Fuzzy Model of a Washing Machine |
| Altri titoli varianti | Mathematical modeling and simulation for scientists and engineers |
| Record Nr. | UNINA-9910830867903321 |
|
Velten Kai
|
||
| Weinheim, Germany : , : Wiley-VCH, , [2009] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mathematical modeling in science and engineering [[electronic resource] ] : an axiomatic approach / / Ismael Herrera, George F. Pinder
| Mathematical modeling in science and engineering [[electronic resource] ] : an axiomatic approach / / Ismael Herrera, George F. Pinder |
| Autore | Herrera Ismael |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, 2012 |
| Descrizione fisica | 1 online resource (259 p.) |
| Disciplina | 501/.51 |
| Altri autori (Persone) | PinderGeorge Francis <1942-> |
| Soggetto topico |
System analysis - Mathematical models
Science - Mathematical models Engineering - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-59115-3
9786613620989 1-118-20722-X 1-118-20723-8 1-118-20720-3 |
| Classificazione | TEC009000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
MATHEMATICAL MODELING IN SCIENCE AND ENGINEERING: An Axiomatic Approach; CONTENTS; Preface; 1 AXIOMATIC FORMULATION OF THE BASIC MODELS; 1.1 Models; 1.2 Microscopic and macroscopic physics; 1.3 Kinematics of continuous systems; 1.3.1 Intensive properties; 1.3.2 Extensive properties; 1.4 Balance equations of extensive and intensive properties; 1.4.1 Global balance equations; 1.4.2 The local balance equations; 1.4.3 The role of balance conditions in the modeling of continuous systems; 1.4.4 Formulation of motion restrictions by means of balance equations; 1.5 Summary; Exercises; References
2 MECHANICS OF CLASSICAL CONTINUOUS SYSTEMS2.1 One-phase systems; 2.2 The basic mathematical model of one-phase systems; 2.3 The extensive/intensive properties of classical mechanics; 2.4 Mass conservation; 2.5 Linear momentum balance; 2.6 Angular momentum balance; 2.7 Energy concepts; 2.8 The balance of kinetic energy; 2.9 The balance of internal energy; 2.10 Heat equivalent of mechanical work; 2.11 Summary of basic equations for solid and fluid mechanics; 2.12 Some basic concepts of thermodynamics; 2.12.1 Heat transport; 2.13 Summary; Exercises; References 3 MECHANICS OF NON-CLASSICAL CONTINUOUS SYSTEMS3.1 Multiphase systems; 3.2 The basic mathematical model of multiphase systems; 3.3 Solute transport in a free fluid; 3.4 Transport by fluids in porous media; 3.5 Flow of fluids through porous media; 3.6 Petroleum reservoirs: the black-oil model; 3.6.1 Assumptions of the black-oil model; 3.6.2 Notation; 3.6.3 Family of extensive properties; 3.6.4 Differential equations and jump conditions; 3.7 Summary; Exercises; References; 4 SOLUTE TRANSPORT BY A FREE FLUID; 4.1 The general equation of solute transport by a free fluid; 4.2 Transport processes 4.2.1 Advection4.2.2 Diffusion processes; 4.3 Mass generation processes; 4.4 Differential equations of diffusive transport; 4.5 Well-posed problems for diffusive transport; 4.5.1 Time-dependent problems; 4.5.2 Steady state; 4.6 First-order irreversible processes; 4.7 Differential equations of non-diffusive transport; 4.8 Well-posed problems for non-diffusive transport; 4.8.1 Well-posed problems in one spatial dimension; 4.8.2 Well-posed problems in several spatial dimensions; 4.8.3 Well-posed problems for steady-state models; 4.9 Summary; Exercises; References 5 FLOW OF A FLUID IN A POROUS MEDIUM5.1 Basic assumptions of the flow model; 5.2 The basic model for the flow of a fluid through a porous medium; 5.3 Modeling the elasticity and compressibility; 5.3.1 Fluid compressibility; 5.3.2 Pore compressibility; 5.3.3 The storage coefficient; 5.4 Darcy's law; 5.5 Piezometric level; 5.6 General equation governing flow through a porous medium; 5.6.1 Special forms of the governing differential equation; 5.7 Applications of the jump conditions; 5.8 Well-posed problems; 5.8.1 Steady-state models; 5.8.2 Time-dependent problems 5.9 Models with a reduced number of spatial dimensions |
| Record Nr. | UNINA-9910141300103321 |
|
Herrera Ismael
|
||
| Hoboken, N.J., : Wiley, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mathematical modeling in science and engineering : an axiomatic approach / / Ismael Herrera, George F. Pinder
| Mathematical modeling in science and engineering : an axiomatic approach / / Ismael Herrera, George F. Pinder |
| Autore | Herrera Ismael |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, 2012 |
| Descrizione fisica | 1 online resource (259 p.) |
| Disciplina | 501/.51 |
| Altri autori (Persone) | PinderGeorge Francis <1942-> |
| Soggetto topico |
System analysis - Mathematical models
Science - Mathematical models Engineering - Mathematical models |
| ISBN |
9786613620989
9781280591150 1280591153 9781118207222 111820722X 9781118207239 1118207238 9781118207208 1118207203 |
| Classificazione | TEC009000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
MATHEMATICAL MODELING IN SCIENCE AND ENGINEERING: An Axiomatic Approach; CONTENTS; Preface; 1 AXIOMATIC FORMULATION OF THE BASIC MODELS; 1.1 Models; 1.2 Microscopic and macroscopic physics; 1.3 Kinematics of continuous systems; 1.3.1 Intensive properties; 1.3.2 Extensive properties; 1.4 Balance equations of extensive and intensive properties; 1.4.1 Global balance equations; 1.4.2 The local balance equations; 1.4.3 The role of balance conditions in the modeling of continuous systems; 1.4.4 Formulation of motion restrictions by means of balance equations; 1.5 Summary; Exercises; References
2 MECHANICS OF CLASSICAL CONTINUOUS SYSTEMS2.1 One-phase systems; 2.2 The basic mathematical model of one-phase systems; 2.3 The extensive/intensive properties of classical mechanics; 2.4 Mass conservation; 2.5 Linear momentum balance; 2.6 Angular momentum balance; 2.7 Energy concepts; 2.8 The balance of kinetic energy; 2.9 The balance of internal energy; 2.10 Heat equivalent of mechanical work; 2.11 Summary of basic equations for solid and fluid mechanics; 2.12 Some basic concepts of thermodynamics; 2.12.1 Heat transport; 2.13 Summary; Exercises; References 3 MECHANICS OF NON-CLASSICAL CONTINUOUS SYSTEMS3.1 Multiphase systems; 3.2 The basic mathematical model of multiphase systems; 3.3 Solute transport in a free fluid; 3.4 Transport by fluids in porous media; 3.5 Flow of fluids through porous media; 3.6 Petroleum reservoirs: the black-oil model; 3.6.1 Assumptions of the black-oil model; 3.6.2 Notation; 3.6.3 Family of extensive properties; 3.6.4 Differential equations and jump conditions; 3.7 Summary; Exercises; References; 4 SOLUTE TRANSPORT BY A FREE FLUID; 4.1 The general equation of solute transport by a free fluid; 4.2 Transport processes 4.2.1 Advection4.2.2 Diffusion processes; 4.3 Mass generation processes; 4.4 Differential equations of diffusive transport; 4.5 Well-posed problems for diffusive transport; 4.5.1 Time-dependent problems; 4.5.2 Steady state; 4.6 First-order irreversible processes; 4.7 Differential equations of non-diffusive transport; 4.8 Well-posed problems for non-diffusive transport; 4.8.1 Well-posed problems in one spatial dimension; 4.8.2 Well-posed problems in several spatial dimensions; 4.8.3 Well-posed problems for steady-state models; 4.9 Summary; Exercises; References 5 FLOW OF A FLUID IN A POROUS MEDIUM5.1 Basic assumptions of the flow model; 5.2 The basic model for the flow of a fluid through a porous medium; 5.3 Modeling the elasticity and compressibility; 5.3.1 Fluid compressibility; 5.3.2 Pore compressibility; 5.3.3 The storage coefficient; 5.4 Darcy's law; 5.5 Piezometric level; 5.6 General equation governing flow through a porous medium; 5.6.1 Special forms of the governing differential equation; 5.7 Applications of the jump conditions; 5.8 Well-posed problems; 5.8.1 Steady-state models; 5.8.2 Time-dependent problems 5.9 Models with a reduced number of spatial dimensions |
| Record Nr. | UNINA-9910811063603321 |
|
Herrera Ismael
|
||
| Hoboken, N.J., : Wiley, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mathematical modelling of natural phenomena
| Mathematical modelling of natural phenomena |
| Pubbl/distr/stampa | Les Ulis, : EDP sciences, 2006- |
| Soggetto topico | Science - Mathematical models |
| Soggetto genere / forma | Periodicals. |
| ISSN | 1760-6101 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | MMNP |
| Record Nr. | UNISA-996336740803316 |
| Les Ulis, : EDP sciences, 2006- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Mathematical modelling of natural phenomena
| Mathematical modelling of natural phenomena |
| Pubbl/distr/stampa | Les Ulis, : EDP sciences, 2006- |
| Soggetto topico |
Science - Mathematical models
Sciences - Modèles mathématiques |
| Soggetto genere / forma | Periodicals. |
| ISSN | 1760-6101 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | MMNP |
| Record Nr. | UNINA-9910338726203321 |
| Les Ulis, : EDP sciences, 2006- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||