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Advanced numerical methods for complex environmental models : needs and availability / / edited by István Faragó, Ágnes Havasi, Department of Applied Analysis and Computational Mathematics and HAS, ELTE Research group "Numerical Analysis and Large Networks," Eötvös Loránd University, Budapest, Hungary & Zahari Zlatev, Department of Environmental Science, Aarhus University, Roskilde, Denmark
| Advanced numerical methods for complex environmental models : needs and availability / / edited by István Faragó, Ágnes Havasi, Department of Applied Analysis and Computational Mathematics and HAS, ELTE Research group "Numerical Analysis and Large Networks," Eötvös Loránd University, Budapest, Hungary & Zahari Zlatev, Department of Environmental Science, Aarhus University, Roskilde, Denmark |
| Pubbl/distr/stampa | Sharjah, UAE : , : Bentham Science Publishers, , [2013] |
| Descrizione fisica | 1 online resource (437 p.) |
| Altri autori (Persone) |
FaragóI (István)
HavasiÁgnes ZlatevZahari <1939-> |
| Soggetto topico | Environmental sciences - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-60805-778-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Title; EUL; Contents; Foreword; Foreword; Preface; List of Contributors; Chapter 01a; Chapter 01b; Chapter 01c; Chapter 02a; Chapter 02b; Chapter 03; Chapter 04a; Chapter 04b; Chapter 04c; Chapter 05a; Chapter 05b; Chapter 05c; Index; Back Cover |
| Record Nr. | UNINA-9910464197003321 |
| Sharjah, UAE : , : Bentham Science Publishers, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced numerical methods for complex environmental models : needs and availability / / edited by István Faragó, Ágnes Havasi, Department of Applied Analysis and Computational Mathematics and HAS, ELTE Research group "Numerical Analysis and Large Networks," Eötvös Loránd University, Budapest, Hungary & Zahari Zlatev, Department of Environmental Science, Aarhus University, Roskilde, Denmark
| Advanced numerical methods for complex environmental models : needs and availability / / edited by István Faragó, Ágnes Havasi, Department of Applied Analysis and Computational Mathematics and HAS, ELTE Research group "Numerical Analysis and Large Networks," Eötvös Loránd University, Budapest, Hungary & Zahari Zlatev, Department of Environmental Science, Aarhus University, Roskilde, Denmark |
| Pubbl/distr/stampa | Sharjah, UAE : , : Bentham Science Publishers, , [2013] |
| Descrizione fisica | 1 online resource (437 p.) |
| Altri autori (Persone) |
FaragóI (István)
HavasiÁgnes ZlatevZahari <1939-> |
| Soggetto topico | Environmental sciences - Mathematical models |
| ISBN | 1-60805-778-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Title; EUL; Contents; Foreword; Foreword; Preface; List of Contributors; Chapter 01a; Chapter 01b; Chapter 01c; Chapter 02a; Chapter 02b; Chapter 03; Chapter 04a; Chapter 04b; Chapter 04c; Chapter 05a; Chapter 05b; Chapter 05c; Index; Back Cover |
| Record Nr. | UNINA-9910789132403321 |
| Sharjah, UAE : , : Bentham Science Publishers, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced numerical methods for complex environmental models : needs and availability / / edited by István Faragó, Ágnes Havasi, Department of Applied Analysis and Computational Mathematics and HAS, ELTE Research group "Numerical Analysis and Large Networks," Eötvös Loránd University, Budapest, Hungary & Zahari Zlatev, Department of Environmental Science, Aarhus University, Roskilde, Denmark
| Advanced numerical methods for complex environmental models : needs and availability / / edited by István Faragó, Ágnes Havasi, Department of Applied Analysis and Computational Mathematics and HAS, ELTE Research group "Numerical Analysis and Large Networks," Eötvös Loránd University, Budapest, Hungary & Zahari Zlatev, Department of Environmental Science, Aarhus University, Roskilde, Denmark |
| Pubbl/distr/stampa | Sharjah, UAE : , : Bentham Science Publishers, , [2013] |
| Descrizione fisica | 1 online resource (437 p.) |
| Altri autori (Persone) |
FaragóI (István)
HavasiÁgnes ZlatevZahari <1939-> |
| Soggetto topico | Environmental sciences - Mathematical models |
| ISBN | 1-60805-778-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Title; EUL; Contents; Foreword; Foreword; Preface; List of Contributors; Chapter 01a; Chapter 01b; Chapter 01c; Chapter 02a; Chapter 02b; Chapter 03; Chapter 04a; Chapter 04b; Chapter 04c; Chapter 05a; Chapter 05b; Chapter 05c; Index; Back Cover |
| Record Nr. | UNINA-9910818783203321 |
| Sharjah, UAE : , : Bentham Science Publishers, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Approaches in highly parameterized inversion : PESTCommander, a graphical user interface for file and run management across network / / by Marinko Karanovic [and three others]
| Approaches in highly parameterized inversion : PESTCommander, a graphical user interface for file and run management across network / / by Marinko Karanovic [and three others] |
| Autore | Karanovic Marinko |
| Pubbl/distr/stampa | Reston, Virginia : , : U.S. Department of the Interior, U.S. Geological Survey, , 2012 |
| Descrizione fisica | 1 online resource (iii, 9 pages) : color illustrations |
| Collana | Techniques and methods |
| Soggetto topico |
Environmental sciences - Mathematical models
File organization (Computer science) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Approaches in highly parameterized inversion |
| Record Nr. | UNINA-9910702348503321 |
Karanovic Marinko
|
||
| Reston, Virginia : , : U.S. Department of the Interior, U.S. Geological Survey, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Environmental data analysis with MatLab [[electronic resource] /] / William Menke, Joshua Menke
| Environmental data analysis with MatLab [[electronic resource] /] / William Menke, Joshua Menke |
| Autore | Menke William |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier, c2012 |
| Descrizione fisica | 1 online resource (282 p.) |
| Disciplina | 363.7001/5118 |
| Altri autori (Persone) | MenkeJoshua E <1976-> (Joshua Ephraim) |
| Soggetto topico |
Environmental sciences - Mathematical models
Environmental sciences - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-24992-8
9786613249920 0-12-391887-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Environmental Data Analysis with MatLab; Copyright; Dedication; Preface; Advice on scripting for beginners; Contents; Chapter 1: Data analysis with MatLab; 1.1. Why MatLab?; 1.2. Getting started with MatLab; 1.3. Getting organized; 1.4. Navigating folders; 1.5. Simple arithmetic and algebra; 1.6. Vectors and matrices; 1.7. Multiplication of vectors of matrices; 1.8. Element access; 1.9. To loop or not to loop; 1.10. The matrix inverse; 1.11. Loading data from a file; 1.12. Plotting data; 1.13. Saving data to a file; 1.14. Some advice on writing scripts; Problems
Chapter 2: A first look at data2.1. Look at your data!; 2.2. More on MatLab graphics; 2.3. Rate information; 2.4. Scatter plots and their limitations; Problems; Chapter 3: Probability and what it has to do with data analysis; 3.1. Random variables; 3.2. Mean, median, and mode; 3.3. Variance; 3.4. Two important probability density functions; 3.5. Functions of a random variable; 3.6. Joint probabilities; 3.7. Bayesian inference; 3.8. Joint probability density functions; 3.9. Covariance; 3.10. Multivariate distributions; 3.11. The multivariate Normal distributions 3.12. Linear functions of multivariate dataProblems; Chapter 4: The power of linear models; 4.1. Quantitative models, data, and model parameters; 4.2. The simplest of quantitative models; 4.3. Curve fitting; 4.4. Mixtures; 4.5. Weighted averages; 4.6. Examining error; 4.7. Least squares; 4.8. Examples; 4.9. Covariance and the behavior of error; Problems; Chapter 5: Quantifying preconceptions; 5.1. When least square fails; 5.2. Prior information; 5.3. Bayesian inference; 5.4. The product of Normal probability density distributions; 5.5. Generalized least squares 5.6. The role of the covariance of the data5.7. Smoothness as prior information; 5.8. Sparse matrices; 5.9. Reorganizing grids of model parameters; Problems; Chapter 6: Detecting periodicities; 6.1. Describing sinusoidal oscillations; 6.2. Models composed only of sinusoidal functions; 6.3. Going complex; 6.4. Lessons learned from the integral transform; 6.5. Normal curve; 6.6. Spikes; 6.7. Area under a function; 6.8. Time-delayed function; 6.9. Derivative of a function; 6.10. Integral of a function; 6.11. Convolution; 6.12. Nontransient signals; Problems Chapter 7: The past influences the present7.1. Behavior sensitive to past conditions; 7.2. Filtering as convolution; 7.3. Solving problems with filters; 7.4. Predicting the future; 7.5. A parallel between filters and polynomials; 7.6. Filter cascades and inverse filters; 7.7. Making use of what you know; Problems; Chapter 8: Patterns suggested by data; 8.1. Samples as mixtures; 8.2. Determining the minimum number of factors; 8.3. Application to the Atlantic Rocks dataset; 8.4. Spiky factors; 8.5. Time-Variable functions; Problems; Chapter 9: Detecting correlations among data 9.1. Correlation is covariance |
| Record Nr. | UNINA-9910456680203321 |
|
Menke William
|
||
| Amsterdam ; ; Boston, : Elsevier, c2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Environmental data analysis with MatLab [[electronic resource] /] / William Menke, Joshua Menke
| Environmental data analysis with MatLab [[electronic resource] /] / William Menke, Joshua Menke |
| Autore | Menke William |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier, c2012 |
| Descrizione fisica | 1 online resource (282 p.) |
| Disciplina | 363.7001/5118 |
| Altri autori (Persone) | MenkeJoshua E <1976-> (Joshua Ephraim) |
| Soggetto topico |
Environmental sciences - Mathematical models
Environmental sciences - Data processing |
| ISBN |
1-283-24992-8
9786613249920 0-12-391887-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Environmental Data Analysis with MatLab; Copyright; Dedication; Preface; Advice on scripting for beginners; Contents; Chapter 1: Data analysis with MatLab; 1.1. Why MatLab?; 1.2. Getting started with MatLab; 1.3. Getting organized; 1.4. Navigating folders; 1.5. Simple arithmetic and algebra; 1.6. Vectors and matrices; 1.7. Multiplication of vectors of matrices; 1.8. Element access; 1.9. To loop or not to loop; 1.10. The matrix inverse; 1.11. Loading data from a file; 1.12. Plotting data; 1.13. Saving data to a file; 1.14. Some advice on writing scripts; Problems
Chapter 2: A first look at data2.1. Look at your data!; 2.2. More on MatLab graphics; 2.3. Rate information; 2.4. Scatter plots and their limitations; Problems; Chapter 3: Probability and what it has to do with data analysis; 3.1. Random variables; 3.2. Mean, median, and mode; 3.3. Variance; 3.4. Two important probability density functions; 3.5. Functions of a random variable; 3.6. Joint probabilities; 3.7. Bayesian inference; 3.8. Joint probability density functions; 3.9. Covariance; 3.10. Multivariate distributions; 3.11. The multivariate Normal distributions 3.12. Linear functions of multivariate dataProblems; Chapter 4: The power of linear models; 4.1. Quantitative models, data, and model parameters; 4.2. The simplest of quantitative models; 4.3. Curve fitting; 4.4. Mixtures; 4.5. Weighted averages; 4.6. Examining error; 4.7. Least squares; 4.8. Examples; 4.9. Covariance and the behavior of error; Problems; Chapter 5: Quantifying preconceptions; 5.1. When least square fails; 5.2. Prior information; 5.3. Bayesian inference; 5.4. The product of Normal probability density distributions; 5.5. Generalized least squares 5.6. The role of the covariance of the data5.7. Smoothness as prior information; 5.8. Sparse matrices; 5.9. Reorganizing grids of model parameters; Problems; Chapter 6: Detecting periodicities; 6.1. Describing sinusoidal oscillations; 6.2. Models composed only of sinusoidal functions; 6.3. Going complex; 6.4. Lessons learned from the integral transform; 6.5. Normal curve; 6.6. Spikes; 6.7. Area under a function; 6.8. Time-delayed function; 6.9. Derivative of a function; 6.10. Integral of a function; 6.11. Convolution; 6.12. Nontransient signals; Problems Chapter 7: The past influences the present7.1. Behavior sensitive to past conditions; 7.2. Filtering as convolution; 7.3. Solving problems with filters; 7.4. Predicting the future; 7.5. A parallel between filters and polynomials; 7.6. Filter cascades and inverse filters; 7.7. Making use of what you know; Problems; Chapter 8: Patterns suggested by data; 8.1. Samples as mixtures; 8.2. Determining the minimum number of factors; 8.3. Application to the Atlantic Rocks dataset; 8.4. Spiky factors; 8.5. Time-Variable functions; Problems; Chapter 9: Detecting correlations among data 9.1. Correlation is covariance |
| Record Nr. | UNINA-9910781791903321 |
|
Menke William
|
||
| Amsterdam ; ; Boston, : Elsevier, c2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Environmental data analysis with MatLab / / William Menke, Joshua Menke
| Environmental data analysis with MatLab / / William Menke, Joshua Menke |
| Autore | Menke William |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier, c2012 |
| Descrizione fisica | 1 online resource (282 p.) |
| Disciplina |
363.7001/5118
363.70015118 |
| Altri autori (Persone) | MenkeJoshua E <1976-> (Joshua Ephraim) |
| Soggetto topico |
Environmental sciences - Mathematical models
Environmental sciences - Data processing |
| ISBN |
1-283-24992-8
9786613249920 0-12-391887-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Environmental Data Analysis with MatLab; Copyright; Dedication; Preface; Advice on scripting for beginners; Contents; Chapter 1: Data analysis with MatLab; 1.1. Why MatLab?; 1.2. Getting started with MatLab; 1.3. Getting organized; 1.4. Navigating folders; 1.5. Simple arithmetic and algebra; 1.6. Vectors and matrices; 1.7. Multiplication of vectors of matrices; 1.8. Element access; 1.9. To loop or not to loop; 1.10. The matrix inverse; 1.11. Loading data from a file; 1.12. Plotting data; 1.13. Saving data to a file; 1.14. Some advice on writing scripts; Problems
Chapter 2: A first look at data2.1. Look at your data!; 2.2. More on MatLab graphics; 2.3. Rate information; 2.4. Scatter plots and their limitations; Problems; Chapter 3: Probability and what it has to do with data analysis; 3.1. Random variables; 3.2. Mean, median, and mode; 3.3. Variance; 3.4. Two important probability density functions; 3.5. Functions of a random variable; 3.6. Joint probabilities; 3.7. Bayesian inference; 3.8. Joint probability density functions; 3.9. Covariance; 3.10. Multivariate distributions; 3.11. The multivariate Normal distributions 3.12. Linear functions of multivariate dataProblems; Chapter 4: The power of linear models; 4.1. Quantitative models, data, and model parameters; 4.2. The simplest of quantitative models; 4.3. Curve fitting; 4.4. Mixtures; 4.5. Weighted averages; 4.6. Examining error; 4.7. Least squares; 4.8. Examples; 4.9. Covariance and the behavior of error; Problems; Chapter 5: Quantifying preconceptions; 5.1. When least square fails; 5.2. Prior information; 5.3. Bayesian inference; 5.4. The product of Normal probability density distributions; 5.5. Generalized least squares 5.6. The role of the covariance of the data5.7. Smoothness as prior information; 5.8. Sparse matrices; 5.9. Reorganizing grids of model parameters; Problems; Chapter 6: Detecting periodicities; 6.1. Describing sinusoidal oscillations; 6.2. Models composed only of sinusoidal functions; 6.3. Going complex; 6.4. Lessons learned from the integral transform; 6.5. Normal curve; 6.6. Spikes; 6.7. Area under a function; 6.8. Time-delayed function; 6.9. Derivative of a function; 6.10. Integral of a function; 6.11. Convolution; 6.12. Nontransient signals; Problems Chapter 7: The past influences the present7.1. Behavior sensitive to past conditions; 7.2. Filtering as convolution; 7.3. Solving problems with filters; 7.4. Predicting the future; 7.5. A parallel between filters and polynomials; 7.6. Filter cascades and inverse filters; 7.7. Making use of what you know; Problems; Chapter 8: Patterns suggested by data; 8.1. Samples as mixtures; 8.2. Determining the minimum number of factors; 8.3. Application to the Atlantic Rocks dataset; 8.4. Spiky factors; 8.5. Time-Variable functions; Problems; Chapter 9: Detecting correlations among data 9.1. Correlation is covariance |
| Record Nr. | UNINA-9910826804703321 |
|
Menke William
|
||
| Amsterdam ; ; Boston, : Elsevier, c2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Environmental modeling and assessment
| Environmental modeling and assessment |
| Pubbl/distr/stampa | Netherlands, : Baltzer Science Publishers |
| Disciplina | 363.7001 |
| Soggetto topico |
Environmental sciences - Mathematical models
Environmental risk assessment Sciences de l'environnement - Modèles mathématiques Environnement - Évaluation du risque |
| Soggetto genere / forma | Periodicals. |
| Soggetto non controllato | Environmental Sciences |
| ISSN | 1573-2967 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Environmental modeling & assessment |
| Record Nr. | UNINA-9910140518403321 |
| Netherlands, : Baltzer Science Publishers | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Environmental modeling and assessment
| Environmental modeling and assessment |
| Pubbl/distr/stampa | Netherlands, : Baltzer Science Publishers |
| Disciplina | 363.7001 |
| Soggetto topico |
Environmental sciences - Mathematical models
Environmental risk assessment Sciences de l'environnement - Modèles mathématiques Environnement - Évaluation du risque |
| Soggetto genere / forma | Periodicals. |
| Soggetto non controllato | Environmental Sciences |
| ISSN | 1573-2967 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Environmental modeling & assessment |
| Record Nr. | UNISA-996214097603316 |
| Netherlands, : Baltzer Science Publishers | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Environmental modelling [[electronic resource] ] : finding simplicity in complexity / / [edited by] John Wainwright and Mark Mulligan
| Environmental modelling [[electronic resource] ] : finding simplicity in complexity / / [edited by] John Wainwright and Mark Mulligan |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Chichester [England] ; ; Hoboken, N.J., : Wiley, 2013 |
| Descrizione fisica | 1 online resource (495 p.) |
| Disciplina | 628 |
| Altri autori (Persone) |
WainwrightJohn <1967->
MulliganMark, Dr. |
| Soggetto topico | Environmental sciences - Mathematical models |
| ISBN |
1-118-35147-9
1-283-99385-6 1-118-36610-7 1-118-35148-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface; Preface to the First Edition; List of Contributors; Part I Model Building; Chapter 1 Introduction; 1.1 Introduction; 1.2 Why model the environment?; 1.3 Why simplicity and complexity?; 1.4 How to use this book; 1.5 The book's web site; References; Chapter 2 Modelling and Model Building; 2.1 The role of modelling in environmental research; 2.2 Approaches to model building: chickens, eggs, models and parameters?; 2.3 Testing models; 2.4 Sensitivity analysis and its role; 2.5 Errors and uncertainty; 2.6 Conclusions; References
Chapter 3 Time Series: Analysis and Modelling3.1 Introduction; 3.2 Examples of environmental time series; 3.3 Frequency-size distribution of values in a time series; 3.4 White noises and Brownian motions; 3.5 Persistence; 3.6 Other time-series models; 3.7 Discussion and summary; References; Chapter 4 Non-Linear Dynamics, Self-Organization and Cellular Automata Models; 4.1 Introduction; 4.2 Self-organization in complex systems; 4.3 Cellular automaton models; 4.4 Case study: modelling rill initiation and growth; 4.5 Summary and conclusions; 4.6 Acknowledgements; References Chapter 5 Spatial Modelling and Scaling Issues5.1 Introduction; 5.2 Scale and scaling; 5.3 Causes of scaling problems; 5.4 Scaling issues of input parameters and possible solutions; 5.5 Methodology for scaling physically based models; 5.6 Scaling land-surface parameters for a soil-erosion model: a case study; 5.7 Conclusion; References; Chapter 6 Environmental Applications of Computational Fluid Dynamics; 6.1 Introduction; 6.2 CFD fundamentals; 6.3 Applications of CFD in environmental modelling; 6.4 Conclusions; References Chapter 7 Data-Based Mechanistic Modelling and the Emulation of Large Environmental System Models7.1 Introduction; 7.2 Philosophies of science and modelling; 7.3 Statistical identification, estimation and validation; 7.4 Data-based mechanistic (DBM) modelling; 7.5 The statistical tools of DBM modelling; 7.6 Practical example; 7.7 The reduced-order modelling of large computer-simulation models; 7.8 The dynamic emulation of large computer-simulation models; 7.9 Conclusions; References; Chapter 8 Stochastic versus Deterministic Approaches; 8.1 Introduction; 8.2 A philosophical perspective 8.3 Tools and methods8.4 A practical illustration in Oman; 8.5 Discussion; References; Part II The State of the Art in Environmental Modelling; Chapter 9 Climate and Climate-System Modelling; 9.1 The complexity; 9.2 Finding the simplicity; 9.3 The research frontier; 9.4 Online material; References; Chapter 10 Soil and Hillslope (Eco)Hydrology; 10.1 Hillslope e-c-o-hydrology?; 10.2 Tyger, tyger...; 10.3 Nobody loves me, everybody hates me...; 10.4 Memories; 10.5 I'll avoid you as long as I can?; 10.6 Acknowledgements; References Chapter 11 Modelling Catchment and Fluvial Processes and their Interactions |
| Record Nr. | UNINA-9910141512503321 |
| Chichester [England] ; ; Hoboken, N.J., : Wiley, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
