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Biblioteca

MARC Lista (tabellare)
Journal of applied mathematics & decision sciences
Journal of applied mathematics & decision sciences
Pubbl/distr/stampa New York, NY, : Hindawi Pub
Descrizione fisica 1 online resource
Soggetto topico Operations research
Mathematical models
Statistics
Quality control
Decision Science
Applied Mathematics
Soggetto genere / forma Periodicals.
ISSN 1532-7612
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Journal of applied mathematics and decision sciences
Record Nr. UNINA-9910136320403321
New York, NY, : Hindawi Pub
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Journal of applied mathematics & decision sciences
Journal of applied mathematics & decision sciences
Pubbl/distr/stampa New York, NY, : Hindawi Pub
Descrizione fisica 1 online resource
Soggetto topico Operations research
Mathematical models
Statistics
Quality control
Decision Science
Applied Mathematics
Soggetto genere / forma Periodicals.
ISSN 1532-7612
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Journal of applied mathematics and decision sciences
Record Nr. UNISA-996205603803316
New York, NY, : Hindawi Pub
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Journal of applied mathematics and stochastic analysis
Journal of applied mathematics and stochastic analysis
Pubbl/distr/stampa [Melbourne, FL?], : Society of Applied Mathematics, Modeling, and Simulation, ©1990-2009
Descrizione fisica 1 online resource
Soggetto topico Mathematical models
Computer simulation
Computer science - Mathematics
Applied Mathematics
Modèles mathématiques
Simulation par ordinateur
Informatique - Mathématiques
Soggetto genere / forma Periodicals.
ISSN 1687-2177
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti International journal of stochastic analysis
JAMSA
Record Nr. UNINA-9910145353303321
[Melbourne, FL?], : Society of Applied Mathematics, Modeling, and Simulation, ©1990-2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mecánica de medios continuos para ingenieros geólgos
Mecánica de medios continuos para ingenieros geólgos
Autore Irles Más Ramón
Pubbl/distr/stampa [Place of publication not identified], : Publicaciones de la Universidad de Alicante, 2004
Descrizione fisica 1 online resource (274 p.)
Collana TD Textosdocentes
Soggetto topico Engineering & Applied Sciences
Applied Mathematics
Soggetto genere / forma Electronic books.
ISBN 1-282-12000-X
9786612120008
1-4416-4848-8
84-9717-038-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione spa
Nota di contenuto Intro -- ÍNDICE -- PRÓLOGO -- TEMA 1. DESCRIPCIÓN DE LAS TENSIONES -- 1.1. INTRODUCCIÓN A LA MECÁNICA DEL SÓLIDO DEFORMARLE -- 1.2. CONCEPTO DE TENSIÓN -- 1.3. COMPONENTES CARTESIANAS DEL TENSOR DE TENSIONES. LEMA DE CAUCHY -- 1.4. CAMBIO DEL SISTEMA DE REFERENCIA -- 1.5. ECUACIONES DE EQUILIBRIO INTERNO Y EN EL CONTORNO -- 1.6. COMPONENTES INTRÍNSECAS DE LA TENSIÓN. VALORES Y DIRECCIONES PRINCIPALES -- 1.7. INVARIANTES. VALORES EXTREMOS DE LAS COMPONENTES INTRÍNSECAS -- 1.8. REPRESENTACIONES GEOMÉTRICAS DEL ESTADO TENSIÓNAL -- 1.8.1. El elipsoide de Lamé -- 1.8.2. Los círculos de Mohr -- 1.8.3. Componentes esférica y desviadora de T. Representación en el espacio de tensiones principales -- TEMA 2. DESCRIPCIÓN DE LA DEFORMACIÓN -- 2.1. INTRODUCCIÓN -- 2.2. PEQUEÑOS MOVIMIENTOS DE UN PUNTO Y SU ENTORNO. GRADIENTE DE MOVIMIENTOS. TENSORES DE DEFORMACIÓN Y GIRO -- 2.3. INTERPRETACIÓN GEOMÉTRICA DE LAS COMPONENTES DE D Y G -- 2.4. ECUACIONES DE COMPATIBILIDAD INTERNA Y EN EL CONTORNO -- 2.5. PARALELISMOS CON EL MODELO TENSIONAL -- TEMA 3. COMPORTAMIENTO ELÁSTICO LINEAL ENTRE TENSIÓN Y DEFORMACIÓN -- 3.1. INTRODUCCIÓN -- 3.2. EL ENSAYO DE TRACCIÓN SIMPLE -- 3.3. ELASTICIDAD LINEAL EN MATERIALES ISÓTROPOS. LEY DE HOOKE GENERALIZADA. ECUACIONES DE LAME -- 3.4. LA ENERGÍA DE DEFORMACIÓN. CUERPOS HIPERELÁSTICOS -- 3.5. ELASTICIDAD LINEAL EN MATERIALES ANISÓTROPOS. CASOS PARTICULARES -- TEMA 4. TEOREMAS ENERGÉTICOS -- 4.1. INTRODUCCIÓN -- 4.2. TEOREMA DE LOS TRABAJOS VIRTUALES -- 4.3. TEOREMA DE LOS DESPLAZAMIENTOS VIRTUALES -- 4.4. TEOREMA DE LAS FUERZAS VIRTUALES -- 4.5. TEOREMAS DE RECIPROCIDAD -- 4.5.1. Reciprocidad de trabajos internos -- 4.5.2. Reciprocidad de trabajos externos -- 4.6. TEOREMA DE CLAPEYRON. ENERGÍA ELÁSTICA DE DEFORMACIÓN -- 4.7. TEOREMA DE UNICIDAD DE SOLUCIÓN AL PROBLEMA ELÁSTICO -- 4.8. PRINCIPIO DE SAINT VENANT.
TEMA 5. PLANTEAMIENTO DEL PROBLEMA ELÁSTICO -- 5.1. INTRODUCCIÓN -- 5.2. PLANTEAMIENTO FUERTE -- 5.2.1. Planteamiento en desplazamientos (Navier) -- 5.2.2. Planteamiento en tensiones (Beltrami-Michell) -- 5.3. PLANTEAMIENTO DÉBIL -- 5.3.1. El método de los elementos finitos -- 5.3.2. El método de los elementos de contorno -- TEMA 6. SOLUCIÓN DEL PROBLEMA ELÁSTICO -- 6.1. INTRODUCCIÓN -- 6.2. MÉTODOS ANALÍTICOS -- 6.2.1. El método inverso -- 6.2.2. El método semiinverso -- 6.2.3. Métodos directos -- 6.3. MÉTODOS SEMIANALÍTICOS -- 6.4. MÉTODOS NUMÉRICOS -- TEMA 7. MÉTODOS EXPERIMENTALES -- 7.1. INTRODUCCIÓN -- 7.2. EXTENSOMETRÍA -- 7.2.1. Fundamentos elásticos -- 7.2.2. Fundamentos eléctricos -- 7.3. FOTOELASTICIDAD -- 7.3.1. Fundamentos elásticos -- 7.3.2. Fundamentos ópticos -- 7.3.3. Determinación de tensiones -- TEMA 8. MODELOS REOLÓGICOS -- 8.1. INTRODUCCIÓN -- 8.2. MODELOS SIMPLES -- 8.2.1. El cuerpo elástico (o de Hooke) -- 8.2.2. El cuerpo rígido-plástico perfecto (o de Saint Venant) -- 8.2.3. El cuerpo viscoso (o líquido de Newton) -- 8.3. MODELOS COMPLEJOS -- 8.3.1. El sólido elastoplástico perfecto -- 8.3.2. Fluido viscoso (cuerpo de Maxwell) -- 8.3.3. Sólido viscoelástico (o cuerpo de Kelvin) -- 8.3.4. Sólido viscoplástico -- 8.4. MODELOS GENERALIZADOS -- 8.4.1. Combinaciones de cuerpos de Kelvin -- 8.4.2. Combinaciones de cuerpos de Maxwell -- 8.4.3. Otros modelos -- TEMA 9. INTRODUCCIÓN A LA PLASTICIDAD -- 9.1. INTRODUCCIÓN -- 9.2. EL ENSAYO DE TRACCIÓN SIMPLE -- 9.3. PLASTICIDAD CON TENSIÓN UNIAXIAL -- 9.3.1. Plasticidad perfecta -- 9.3.2. Plasticidad con endurecimiento -- TEMA 10. PLASTICIDAD GENERAL -- 10.1. INTRODUCCIÓN -- 10.2. CRITERIOS DE PLASTIFICACIÓN -- 10.2.1. Criterios para materiales metálicos -- 10.2.2. Criterios para materiales geológicos -- 10.3. CRITERIO DE CARGA/DESCARGA -- 10.3.1. Plasticidad perfecta.
10.3.2. Plasticidad con endurecimiento -- 10.4. REGLA DE PLASTIFICACIÓN -- 10.4.1. Ley de comportamiento para plasticidad perfecta -- 10.4.2. Ley de comportamiento, con endurecimiento -- 10.5. LEY DE ENDURECIMIENTO -- TEMA 11. ANÁLISIS LÍMITE -- 11.1. INTRODUCCIÓN -- 11.2. UN EJEMPLO DE COLAPSO EN PLASTICIDAD (CASl) UNIAXIAL -- 11.3. BASES DEL ANÁLISIS LÍMITE -- 11.4. TEOREMA DE LÍMITE INFERIOR -- 11.5. TEOREMA DE LÍMITE SUPERIOR -- 11.6. APLICACIÓN A LA DETERMINACIÓN DE CARGAS DE HUNDIMIENTO EN CIMENTACIONES -- 11.6.1. Obtención de cotas inferiores -- 11.6.2. Obtención de cotas superiores -- TEMA 12. MECÁNICA DE LA FRACTURA -- 12.1. INTRODUCCIÓN -- 12.2. ROTURA FRÁGIL O DÚCTIL -- 12.2.1. Composición química y estructura interna -- 12.2.2. Efecto de entalla -- 12.2.3. Otros factores -- 12.3. EL CRITERIO DE GRIFFITH -- 12.4. CAMPO LOCAL DE TENSIONES EN EL BORDE DE UNA GRIETA PLANA -- 12.4.1. Consideraciones elásticas -- 12.4.2. Consideraciones plásticas -- 12.5. APLICACIONES DEL F.I.T. EN MECÁNICA DE LA FRACTURA -- BIBLIOGRAFÍA.
Record Nr. UNINA-9910479962203321
Irles Más Ramón  
[Place of publication not identified], : Publicaciones de la Universidad de Alicante, 2004
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modern Engineering Statistics [[electronic resource]]
Modern Engineering Statistics [[electronic resource]]
Autore Ryan Thomas P
Pubbl/distr/stampa Hoboken, : Wiley, 2007
Descrizione fisica 1 online resource (608 p.)
Disciplina 519.5
620.0072
Soggetto topico Engineering - Statistical methods
Engineering
Engineering & Applied Sciences
Applied Mathematics
Soggetto genere / forma Electronic books.
ISBN 1-281-09412-9
9786611094126
0-470-12844-5
0-470-12843-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Modern Engineering Statistics; Contents; Preface; 1. Methods of Collecting and Presenting Data; 1.1 Observational Data and Data from Designed Experiments; 1.2 Populations and Samples; 1.3 Variables; 1.4 Methods of Displaying Small Data Sets; 1.4.1 Stem-and-Leaf Display; 1.4.2 Time Sequence Plot and Control Chart; 1.4.3 Lag Plot; 1.4.4 Scatter Plot; 1.4.5 Digidot Plot; 1.4.6 Dotplot; 1.5 Methods of Displaying Large Data Sets; 1.5.1 Histogram; 1.5.2 Boxplot; 1.6 Outliers; 1.7 Other Methods; 1.8 Extremely Large Data Sets: Data Mining; 1.9 Graphical Methods: Recommendations; 1.10 Summary
ReferencesExercises; 2. Measures of Location and Dispersion; 2.1 Estimating Location Parameters; 2.2 Estimating Dispersion Parameters; 2.3 Estimating Parameters from Grouped Data; 2.4 Estimates from a Boxplot; 2.5 Computing Sample Statistics with MINITAB; 2.6 Summary; Reference; Exercises; 3. Probability and Common Probability Distributions; 3.1 Probability: From the Ethereal to the Concrete; 3.1.1 Manufacturing Applications; 3.2 Probability Concepts and Rules; 3.2.1 Extension to Multiple Events; 3.2.1.1 Law of Total Probability and Bayes' Theorem; 3.3 Common Discrete Distributions
3.3.1 Expected Value and Variance3.3.2 Binomial Distribution; 3.3.2.1 Testing for the Appropriateness of the Binomial Model; 3.3.3 Hypergeometric Distribution; 3.3.4 Poisson Distribution; 3.3.4.1 Testing for the Appropriateness of the Poisson Model; 3.3.5 Geometric Distribution; 3.4 Common Continuous Distributions; 3.4.1 Expected Value and Variance; 3.4.2 Determining Probabilities for Continuous Random Variables; 3.4.3 Normal Distribution; 3.4.3.1 Software-Aided Normal Probability Computations; 3.4.3.2 Testing the Normality Assumption; 3.4.4 t-Distribution; 3.4.5 Gamma Distribution
3.4.5.1 Chi-Square Distribution3.4.5.2 Exponential Distribution; 3.4.6 Weibull Distribution; 3.4.7 Smallest Extreme Value Distribution; 3.4.8 Lognormal Distribution; 3.4.9 F Distribution; 3.5 General Distribution Fitting; 3.6 How to Select a Distribution; 3.7 Summary; References; Exercises; 4. Point Estimation; 4.1 Point Estimators and Point Estimates; 4.2 Desirable Properties of Point Estimators; 4.2.1 Unbiasedness and Consistency; 4.2.2 Minimum Variance; 4.2.3 Estimators Whose Properties Depend on the Assumed Distribution; 4.2.4 Comparing Biased and Unbiased Estimators
4.3 Distributions of Sampling Statistics4.3.1 Central Limit Theorem; 4.3.1.1 Illustration of Central Limit Theorem; 4.3.2 Statistics with Nonnormal Sampling Distributions; 4.4 Methods of Obtaining Estimators; 4.4.1 Method of Maximum Likelihood; 4.4.2 Method of Moments; 4.4.3 Method of Least Squares; 4.5 Estimating σ; 4.6 Estimating Parameters Without Data; 4.7 Summary; References; Exercises; 5. Confidence Intervals and Hypothesis Tests-One Sample; 5.1 Confidence Interval for μ: Normal Distribution, σ Not Estimated from Sample Data; 5.1.1 Sample Size Determination; 5.1.2 Interpretation and Use
5.1.3 General Form of Confidence Intervals
Record Nr. UNINA-9910144722203321
Ryan Thomas P  
Hoboken, : Wiley, 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modern Engineering Statistics [[electronic resource]]
Modern Engineering Statistics [[electronic resource]]
Autore Ryan Thomas P
Pubbl/distr/stampa Hoboken, : Wiley, 2007
Descrizione fisica 1 online resource (608 p.)
Disciplina 519.5
620.0072
Soggetto topico Engineering - Statistical methods
Engineering
Engineering & Applied Sciences
Applied Mathematics
ISBN 1-281-09412-9
9786611094126
0-470-12844-5
0-470-12843-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Modern Engineering Statistics; Contents; Preface; 1. Methods of Collecting and Presenting Data; 1.1 Observational Data and Data from Designed Experiments; 1.2 Populations and Samples; 1.3 Variables; 1.4 Methods of Displaying Small Data Sets; 1.4.1 Stem-and-Leaf Display; 1.4.2 Time Sequence Plot and Control Chart; 1.4.3 Lag Plot; 1.4.4 Scatter Plot; 1.4.5 Digidot Plot; 1.4.6 Dotplot; 1.5 Methods of Displaying Large Data Sets; 1.5.1 Histogram; 1.5.2 Boxplot; 1.6 Outliers; 1.7 Other Methods; 1.8 Extremely Large Data Sets: Data Mining; 1.9 Graphical Methods: Recommendations; 1.10 Summary
ReferencesExercises; 2. Measures of Location and Dispersion; 2.1 Estimating Location Parameters; 2.2 Estimating Dispersion Parameters; 2.3 Estimating Parameters from Grouped Data; 2.4 Estimates from a Boxplot; 2.5 Computing Sample Statistics with MINITAB; 2.6 Summary; Reference; Exercises; 3. Probability and Common Probability Distributions; 3.1 Probability: From the Ethereal to the Concrete; 3.1.1 Manufacturing Applications; 3.2 Probability Concepts and Rules; 3.2.1 Extension to Multiple Events; 3.2.1.1 Law of Total Probability and Bayes' Theorem; 3.3 Common Discrete Distributions
3.3.1 Expected Value and Variance3.3.2 Binomial Distribution; 3.3.2.1 Testing for the Appropriateness of the Binomial Model; 3.3.3 Hypergeometric Distribution; 3.3.4 Poisson Distribution; 3.3.4.1 Testing for the Appropriateness of the Poisson Model; 3.3.5 Geometric Distribution; 3.4 Common Continuous Distributions; 3.4.1 Expected Value and Variance; 3.4.2 Determining Probabilities for Continuous Random Variables; 3.4.3 Normal Distribution; 3.4.3.1 Software-Aided Normal Probability Computations; 3.4.3.2 Testing the Normality Assumption; 3.4.4 t-Distribution; 3.4.5 Gamma Distribution
3.4.5.1 Chi-Square Distribution3.4.5.2 Exponential Distribution; 3.4.6 Weibull Distribution; 3.4.7 Smallest Extreme Value Distribution; 3.4.8 Lognormal Distribution; 3.4.9 F Distribution; 3.5 General Distribution Fitting; 3.6 How to Select a Distribution; 3.7 Summary; References; Exercises; 4. Point Estimation; 4.1 Point Estimators and Point Estimates; 4.2 Desirable Properties of Point Estimators; 4.2.1 Unbiasedness and Consistency; 4.2.2 Minimum Variance; 4.2.3 Estimators Whose Properties Depend on the Assumed Distribution; 4.2.4 Comparing Biased and Unbiased Estimators
4.3 Distributions of Sampling Statistics4.3.1 Central Limit Theorem; 4.3.1.1 Illustration of Central Limit Theorem; 4.3.2 Statistics with Nonnormal Sampling Distributions; 4.4 Methods of Obtaining Estimators; 4.4.1 Method of Maximum Likelihood; 4.4.2 Method of Moments; 4.4.3 Method of Least Squares; 4.5 Estimating σ; 4.6 Estimating Parameters Without Data; 4.7 Summary; References; Exercises; 5. Confidence Intervals and Hypothesis Tests-One Sample; 5.1 Confidence Interval for μ: Normal Distribution, σ Not Estimated from Sample Data; 5.1.1 Sample Size Determination; 5.1.2 Interpretation and Use
5.1.3 General Form of Confidence Intervals
Record Nr. UNINA-9910830382903321
Ryan Thomas P  
Hoboken, : Wiley, 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modern Engineering Statistics [[electronic resource]]
Modern Engineering Statistics [[electronic resource]]
Autore Ryan Thomas P
Pubbl/distr/stampa Hoboken, : Wiley, 2007
Descrizione fisica 1 online resource (608 p.)
Disciplina 519.5
620.0072
Soggetto topico Engineering - Statistical methods
Engineering
Engineering & Applied Sciences
Applied Mathematics
ISBN 1-281-09412-9
9786611094126
0-470-12844-5
0-470-12843-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Modern Engineering Statistics; Contents; Preface; 1. Methods of Collecting and Presenting Data; 1.1 Observational Data and Data from Designed Experiments; 1.2 Populations and Samples; 1.3 Variables; 1.4 Methods of Displaying Small Data Sets; 1.4.1 Stem-and-Leaf Display; 1.4.2 Time Sequence Plot and Control Chart; 1.4.3 Lag Plot; 1.4.4 Scatter Plot; 1.4.5 Digidot Plot; 1.4.6 Dotplot; 1.5 Methods of Displaying Large Data Sets; 1.5.1 Histogram; 1.5.2 Boxplot; 1.6 Outliers; 1.7 Other Methods; 1.8 Extremely Large Data Sets: Data Mining; 1.9 Graphical Methods: Recommendations; 1.10 Summary
ReferencesExercises; 2. Measures of Location and Dispersion; 2.1 Estimating Location Parameters; 2.2 Estimating Dispersion Parameters; 2.3 Estimating Parameters from Grouped Data; 2.4 Estimates from a Boxplot; 2.5 Computing Sample Statistics with MINITAB; 2.6 Summary; Reference; Exercises; 3. Probability and Common Probability Distributions; 3.1 Probability: From the Ethereal to the Concrete; 3.1.1 Manufacturing Applications; 3.2 Probability Concepts and Rules; 3.2.1 Extension to Multiple Events; 3.2.1.1 Law of Total Probability and Bayes' Theorem; 3.3 Common Discrete Distributions
3.3.1 Expected Value and Variance3.3.2 Binomial Distribution; 3.3.2.1 Testing for the Appropriateness of the Binomial Model; 3.3.3 Hypergeometric Distribution; 3.3.4 Poisson Distribution; 3.3.4.1 Testing for the Appropriateness of the Poisson Model; 3.3.5 Geometric Distribution; 3.4 Common Continuous Distributions; 3.4.1 Expected Value and Variance; 3.4.2 Determining Probabilities for Continuous Random Variables; 3.4.3 Normal Distribution; 3.4.3.1 Software-Aided Normal Probability Computations; 3.4.3.2 Testing the Normality Assumption; 3.4.4 t-Distribution; 3.4.5 Gamma Distribution
3.4.5.1 Chi-Square Distribution3.4.5.2 Exponential Distribution; 3.4.6 Weibull Distribution; 3.4.7 Smallest Extreme Value Distribution; 3.4.8 Lognormal Distribution; 3.4.9 F Distribution; 3.5 General Distribution Fitting; 3.6 How to Select a Distribution; 3.7 Summary; References; Exercises; 4. Point Estimation; 4.1 Point Estimators and Point Estimates; 4.2 Desirable Properties of Point Estimators; 4.2.1 Unbiasedness and Consistency; 4.2.2 Minimum Variance; 4.2.3 Estimators Whose Properties Depend on the Assumed Distribution; 4.2.4 Comparing Biased and Unbiased Estimators
4.3 Distributions of Sampling Statistics4.3.1 Central Limit Theorem; 4.3.1.1 Illustration of Central Limit Theorem; 4.3.2 Statistics with Nonnormal Sampling Distributions; 4.4 Methods of Obtaining Estimators; 4.4.1 Method of Maximum Likelihood; 4.4.2 Method of Moments; 4.4.3 Method of Least Squares; 4.5 Estimating σ; 4.6 Estimating Parameters Without Data; 4.7 Summary; References; Exercises; 5. Confidence Intervals and Hypothesis Tests-One Sample; 5.1 Confidence Interval for μ: Normal Distribution, σ Not Estimated from Sample Data; 5.1.1 Sample Size Determination; 5.1.2 Interpretation and Use
5.1.3 General Form of Confidence Intervals
Record Nr. UNINA-9910840786603321
Ryan Thomas P  
Hoboken, : Wiley, 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multiscale modeling & simulation : a SIAM interdisciplinary journal
Multiscale modeling & simulation : a SIAM interdisciplinary journal
Pubbl/distr/stampa Philadelphia, Pa., : Society for Industrial and Applied Mathematics, 2003-
Descrizione fisica 1 online resource (volumes)
Disciplina 003
Soggetto topico Multiscale modeling
Computer simulation
Mathematical models
Simulation par ordinateur
Modèles mathématiques
Analyse multiéchelle
Applied Mathematics
Soggetto genere / forma Periodicals.
ISSN 1540-3467
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Multiscale modeling and simulation
MMS
Record Nr. UNINA-9910338747803321
Philadelphia, Pa., : Society for Industrial and Applied Mathematics, 2003-
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Numerical methods for fractional calculus / / Changpin Li, Department of Mathematics, Shanghai University, China; Fanhai Zeng, Department of Mathematics, Shanghai University, China
Numerical methods for fractional calculus / / Changpin Li, Department of Mathematics, Shanghai University, China; Fanhai Zeng, Department of Mathematics, Shanghai University, China
Autore Li Changpin
Pubbl/distr/stampa Boca Raton : , : CRC Press, , [2015]
Descrizione fisica 1 online resource (299 p.)
Disciplina 515.83
Collana Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
Soggetto topico Fractional integrals
Fractional calculus
Numerical analysis
Calculus
Applied Mathematics
Engineering & Applied Sciences
Mathematics
Physical Sciences & Mathematics
ISBN 0-429-07563-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Contents; Foreword; Preface; List of Figures; List of Tables; 1. Introduction to Fractional Calculus; 2. Numerical Methods for Fractional Integral and Derivatives; 3. Numerical Methods for Fractional Ordinary Differential Equations; 4. Finite Difference Methods for Fractional Partial Differential Equations; 5. Galerkin Finite Element Methods for Fractional Partial Differential Equations; Bibliography
Record Nr. UNINA-9910788400603321
Li Changpin  
Boca Raton : , : CRC Press, , [2015]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Numerical methods for fractional calculus / / Changpin Li, Department of Mathematics, Shanghai University, China; Fanhai Zeng, Department of Mathematics, Shanghai University, China
Numerical methods for fractional calculus / / Changpin Li, Department of Mathematics, Shanghai University, China; Fanhai Zeng, Department of Mathematics, Shanghai University, China
Autore Li Changpin
Edizione [1st ed.]
Pubbl/distr/stampa Boca Raton : , : CRC Press, , [2015]
Descrizione fisica 1 online resource (299 p.)
Disciplina 515.83
Collana Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
Soggetto topico Fractional integrals
Fractional calculus
Numerical analysis
Calculus
Applied Mathematics
Engineering & Applied Sciences
Mathematics
Physical Sciences & Mathematics
ISBN 0-429-07563-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Contents; Foreword; Preface; List of Figures; List of Tables; 1. Introduction to Fractional Calculus; 2. Numerical Methods for Fractional Integral and Derivatives; 3. Numerical Methods for Fractional Ordinary Differential Equations; 4. Finite Difference Methods for Fractional Partial Differential Equations; 5. Galerkin Finite Element Methods for Fractional Partial Differential Equations; Bibliography
Record Nr. UNINA-9910811471303321
Li Changpin  
Boca Raton : , : CRC Press, , [2015]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui