Advanced numerical and semi-analytical methods for differential equations / / Snehashish Chakraverty [and three others] |
Autore | Chakraverty Snehashish |
Edizione | [1st edition] |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2019 |
Descrizione fisica | 1 online resource (253 pages) |
Disciplina | 515.35 |
Soggetto topico | Differential equations |
ISBN |
1-119-42343-0
1-119-42344-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910525624103321 |
Chakraverty Snehashish | ||
Hoboken, New Jersey : , : Wiley, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Advanced numerical and semi-analytical methods for differential equations / / Snehashish Chakraverty [and three others] |
Autore | Chakraverty Snehashish |
Edizione | [1st edition] |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2019 |
Descrizione fisica | 1 online resource (253 pages) |
Disciplina | 515.35 |
Soggetto topico | Differential equations |
ISBN |
1-119-42343-0
1-119-42344-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910824412803321 |
Chakraverty Snehashish | ||
Hoboken, New Jersey : , : Wiley, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Computational Fractional Dynamical Systems : Fractional Differential Equations and Applications |
Autore | Jena Rajarama M |
Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2022 |
Descrizione fisica | 1 online resource (268 pages) |
Altri autori (Persone) |
JenaSubrat K
ChakravertySnehashish |
Soggetto genere / forma | Electronic books. |
ISBN |
1-119-69706-9
1-119-69683-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- About the Authors -- Chapter 1 Introduction to Fractional Calculus -- 1.1 Introduction -- 1.2 Birth of Fractional Calculus -- 1.3 Useful Mathematical Functions -- 1.3.1 The Gamma Function -- 1.3.2 The Beta Function -- 1.3.3 The Mittag-Leffler Function -- 1.3.4 The Mellin-Ross Function -- 1.3.5 The Wright Function -- 1.3.6 The Error Function -- 1.3.7 The Hypergeometric Function -- 1.3.8 The H-Function -- 1.4 Riemann-Liouville (R-L) Fractional Integral and Derivative -- 1.5 Caputo Fractional Derivative -- 1.6 Grünwald-Letnikov Fractional Derivative and Integral -- 1.7 Riesz Fractional Derivative and Integral -- 1.8 Modified Riemann-Liouville Derivative -- 1.9 Local Fractional Derivative -- 1.9.1 Local Fractional Continuity of a Function -- 1.9.2 Local Fractional Derivative -- References -- Chapter 2 Recent Trends in Fractional Dynamical Models and Mathematical Methods -- 2.1 Introduction -- 2.2 Fractional Calculus: A Generalization of Integer-Order Calculus -- 2.3 Fractional Derivatives of Some Functions and Their Graphical Illustrations -- 2.4 Applications of Fractional Calculus -- 2.4.1 N.H. Abel and Tautochronous problem -- 2.4.2 Ultrasonic Wave Propagation in Human Cancellous Bone -- 2.4.3 Modeling of Speech Signals Using Fractional Calculus -- 2.4.4 Modeling the Cardiac Tissue Electrode Interface Using Fractional Calculus -- 2.4.5 Application of Fractional Calculus to the Sound Waves Propagation in Rigid Porous Materials -- 2.4.6 Fractional Calculus for Lateral and Longitudinal Control of Autonomous Vehicles -- 2.4.7 Application of Fractional Calculus in the Theory of Viscoelasticity -- 2.4.8 Fractional Differentiation for Edge Detection -- 2.4.9 Wave Propagation in Viscoelastic Horns Using a Fractional Calculus Rheology Model.
2.4.10 Application of Fractional Calculus to Fluid Mechanics -- 2.4.11 Radioactivity, Exponential Decay, and Population Growth -- 2.4.12 The Harmonic Oscillator -- 2.5 Overview of Some Analytical/Numerical Methods -- 2.5.1 Fractional Adams-Bashforth/Moulton Methods -- 2.5.2 Fractional Euler Method -- 2.5.3 Finite Difference Method -- 2.5.4 Finite Element Method -- 2.5.5 Finite Volume Method -- 2.5.6 Meshless Method -- 2.5.7 Reproducing Kernel Hilbert Space Method -- 2.5.8 Wavelet Method -- 2.5.9 The Sine-Gordon Expansion Method -- 2.5.10 The Jacobi Elliptic Equation Method -- 2.5.11 The Generalized Kudryashov Method -- References -- Chapter 3 Adomian Decomposition Method -- 3.1 Introduction -- 3.2 Basic Idea of ADM -- 3.3 Numerical Examples -- References -- Chapter 4 Adomian Decomposition Transform Method -- 4.1 Introduction -- 4.2 Transform Methods for the Caputo Sense Derivatives -- 4.3 Adomian Decomposition Laplace Transform Method (ADLTM) -- 4.4 Adomian Decomposition Sumudu Transform Method (ADSTM) -- 4.5 Adomian Decomposition Elzaki Transform Method (ADETM) -- 4.6 Adomian Decomposition Aboodh Transform Method (ADATM) -- 4.7 Numerical Examples -- 4.7.1 Implementation of ADLTM -- 4.7.2 Implementation of ADSTM -- 4.7.3 Implementation of ADETM -- 4.7.4 Implementation of ADATM -- References -- Chapter 5 Homotopy Perturbation Method -- 5.1 Introduction -- 5.2 Procedure for HPM -- 5.3 Numerical Examples -- References -- Chapter 6 Homotopy Perturbation Transform Method -- 6.1 Introduction -- 6.2 Transform Methods for the Caputo Sense Derivatives -- 6.3 Homotopy Perturbation Laplace Transform Method (HPLTM) -- 6.4 Homotopy Perturbation Sumudu Transform Method (HPSTM) -- 6.5 Homotopy Perturbation Elzaki Transform Method (HPETM) -- 6.6 Homotopy Perturbation Aboodh Transform Method (HPATM) -- 6.7 Numerical Examples -- 6.7.1 Implementation of HPLTM. 6.7.2 Implementation of HPSTM -- 6.7.3 Implementation of HPETM -- 6.7.4 Implementation of HPATM -- References -- Chapter 7 Fractional Differential Transform Method -- 7.1 Introduction -- 7.2 Fractional Differential Transform Method -- 7.3 Illustrative Examples -- References -- Chapter 8 Fractional Reduced Differential Transform Method -- 8.1 Introduction -- 8.2 Description of FRDTM -- 8.3 Numerical Examples -- References -- Chapter 9 Variational Iterative Method -- 9.1 Introduction -- 9.2 Procedure for VIM -- 9.3 Examples -- References -- Chapter 10 Weighted Residual Methods -- 10.1 Introduction -- 10.2 Collocation Method -- 10.3 Least-Square Method -- 10.4 Galerkin Method -- 10.5 Numerical Examples -- References -- Chapter 11 Boundary Characteristic Orthogonal Polynomials -- 11.1 Introduction -- 11.2 Gram-Schmidt Orthogonalization Procedure -- 11.3 Generation of BCOPs -- 11.4 Galerkin Method with BCOPs -- 11.5 Least-Square Method with BCOPs -- 11.6 Application Problems -- References -- Chapter 12 Residual Power Series Method -- 12.1 Introduction -- 12.2 Theorems and Lemma Related to RPSM -- 12.3 Basic Idea of RPSM -- 12.4 Convergence Analysis -- 12.5 Examples -- References -- Chapter 13 Homotopy Analysis Method -- 13.1 Introduction -- 13.2 Theory of Homotopy Analysis Method -- 13.3 Convergence Theorem of HAM -- 13.4 Test Examples -- References -- Chapter 14 Homotopy Analysis Transform Method -- 14.1 Introduction -- 14.2 Transform Methods for the Caputo Sense Derivative -- 14.3 Homotopy Analysis Laplace Transform Method (HALTM) -- 14.4 Homotopy Analysis Sumudu Transform Method (HASTM) -- 14.5 Homotopy Analysis Elzaki Transform Method (HAETM) -- 14.6 Homotopy Analysis Aboodh Transform Method (HAATM) -- 14.7 Numerical Examples -- 14.7.1 Implementation of HALTM -- 14.7.2 Implementation of HASTM -- 14.7.3 Implementation of HAETM. 14.7.4 Implementation of HAATM -- References -- Chapter 15 q-Homotopy Analysis Method -- 15.1 Introduction -- 15.2 Theory of q-HAM -- 15.3 Illustrative Examples -- References -- Chapter 16 q-Homotopy Analysis Transform Method -- 16.1 Introduction -- 16.2 Transform Methods for the Caputo Sense Derivative -- 16.3 q-Homotopy Analysis Laplace Transform Method (q-HALTM) -- 16.4 q-Homotopy Analysis Sumudu Transform Method (q-HASTM) -- 16.5 q-Homotopy Analysis Elzaki Transform Method (q-HAETM) -- 16.6 q-Homotopy Analysis Aboodh Transform Method (q-HAATM) -- 16.7 Test Problems -- 16.7.1 Implementation of q-HALTM -- 16.7.2 Implementation of q-HASTM -- 16.7.3 Implementation of q-HAETM -- 16.7.4 Implementation of q-HAATM -- References -- Chapter 17 (G/G)-Expansion Method -- 17.1 Introduction -- 17.2 Description of the (G/G)-Expansion Method -- 17.3 Application Problems -- References -- Chapter 18 (G/G2)-Expansion Method -- 18.1 Introduction -- 18.2 Description of the (G/G2)-Expansion Method -- 18.3 Numerical Examples -- References -- Chapter 19 (G/G, 1/G)-Expansion Method -- 19.1 Introduction -- 19.2 Algorithm of the (G/G,1/G)-Expansion Method -- 19.3 Illustrative Examples -- References -- Chapter 20 The Modified Simple Equation Method -- 20.1 Introduction -- 20.2 Procedure of the Modified Simple Equation Method -- 20.3 Application Problems -- References -- Chapter 21 Sine-Cosine Method -- 21.1 Introduction -- 21.2 Details of the Sine-Cosine Method -- 21.3 Numerical Examples -- References -- Chapter 22 Tanh Method -- 22.1 Introduction -- 22.2 Description of the Tanh Method -- 22.3 Numerical Examples -- References -- Chapter 23 Fractional Subequation Method -- 23.1 Introduction -- 23.2 Implementation of the Fractional Subequation Method -- 23.3 Numerical Examples -- References -- Chapter 24 Exp-Function Method -- 24.1 Introduction. 24.2 Procedure of the Exp-Function Method -- 24.3 Numerical Examples -- References -- Chapter 25 Exp(−φ(ξ))-Expansion Method -- 25.1 Introduction -- 25.2 Methodology of the Exp(−φ(ξ))-Expansion Method -- 25.3 Numerical Examples -- References -- Index -- EULA. |
Record Nr. | UNINA-9910623984303321 |
Jena Rajarama M | ||
Newark : , : John Wiley & Sons, Incorporated, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Computational structural mechanics : static and dynamic behaviors / / Karan Kumar Pradhan, Snehashish Chakraverty |
Autore | Pradhan Karan Kumar |
Pubbl/distr/stampa | London, United Kingdom : , : Academic Press, an imprint of Elsevier, , [2019] |
Descrizione fisica | 1 online resource (338 pages) |
Disciplina | 624.170151 |
Soggetto topico | Structural analysis (Engineering) - Mathematics |
ISBN | 0-12-815642-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910583315403321 |
Pradhan Karan Kumar | ||
London, United Kingdom : , : Academic Press, an imprint of Elsevier, , [2019] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Interval finite element method with MATLAB / / Sukanta Nayak and Snehashish Chakraverty |
Autore | Sukanta Nayak |
Edizione | [First edition.] |
Pubbl/distr/stampa | London, England : , : Academic Press, , 2018 |
Descrizione fisica | 1 online resource (155 pages) : illustrations |
Disciplina | 620.001515353 |
Soggetto topico | Finite element method - Computer programs |
ISBN |
0-12-812974-3
0-12-812973-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910583381803321 |
Sukanta Nayak | ||
London, England : , : Academic Press, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines [[electronic resource] ] : Theory, Algorithms and Applications / / edited by Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (XIV, 305 p. 83 illus., 58 illus. in color.) |
Disciplina | 512.3 |
Collana | Industrial and Applied Mathematics |
Soggetto topico |
Algebraic fields
Polynomials Mathematical optimization Quantitative research Machine learning Pattern recognition systems Python (Computer program language) Field Theory and Polynomials Optimization Data Analysis and Big Data Machine Learning Automated Pattern Recognition Python Aprenentatge automàtic Algorismes Funcions de Kernel Python (Llenguatge de programació) |
Soggetto genere / forma | Llibres electrònics |
ISBN | 981-19-6553-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction to SVM -- Basics of SVM Method and Least Squares SVM -- Fractional Chebyshev Kernel Functions: Theory and Application -- Fractional Legendre Kernel Functions: Theory and Application -- Fractional Gegenbauer Kernel Functions: Theory and Application -- Fractional Jacobi Kernel Functions: Theory and Application -- Solving Ordinary Differential Equations by LS-SVM -- Solving Partial Differential Equations by LS-SVM -- Solving Integral Equations by LS-SVR -- Solving Distributed-Order Fractional Equations by LS-SVR -- GPU Acceleration of LS-SVM, Based on Fractional Orthogonal Functions -- Classification Using Orthogonal Kernel Functions: Tutorial on ORSVM Package. |
Record Nr. | UNINA-9910682554503321 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Mathematical methods in interdisciplinary sciences / / edited by Snehashish Chakraverty |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2020] |
Descrizione fisica | 1 online resource (467 pages) |
Disciplina | 515 |
Soggetto topico |
Mathematical analysis
Science - Mathematics |
ISBN |
1-119-58565-1
1-119-58561-9 1-119-58564-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Connectionist learning models for application problems involving differential and integral equations / S.Mall, S.K. Jeswal, S. Chakraverty -- Deep learning in population genetics / Romila Ghosh, Satyakama Paul -- A survey of classification techniques in speech emotion recognition / Tanmoy Roy, Tshilidzi Marwala, Snehashish Chakraverty -- Mathematical methods in deep learning / Srinivasa M. Upadhyayula, Kannan Venkataramanan -- Multimodal data representation and processing based on algebraic system of aggregates / Yevgeniya Sulema, Etienne Kerre -- Non-probabilistic analysis of thermal and chemical diffusion problems with uncertain bounded parameters / S. Nayak, T.D. Rao, S. Chakraverty -- Arbitrary order differential equations with fuzzy parameters / T. Allahviranloo, S. Salahshour -- Fluid dynamic problems in uncertain environment / P. Karunkar, U. Biswal, S. Chakraverty -- Fuzzy rough set theory based feature selection : a review / Tanmoy Som, Shivam Shreevastava, Anoop Kumar Tiwari, Shivani Singh -- Universal intervals : towards a dependency-aware interval algebra / Hend Dawood, Yasser Dawood -- Affine-contractor approach to handle nonlinear dynamical problems in uncertain environment / N.R. Mahato, S. Rout, S. Chakraverty -- Dynamic behavior of nanobeam using strain gradient model / Subrat Kumar Jena, Rajarama Mohan Jena, S. Chakraverty -- Structural static and vibration problems / M. Amin Changizi, Ion Stiharu -- Generalized differential and integral quadrature : theory and applications / Francesco Tornabene, Rossana Dimitri -- Brain activity reconstruction by finding a source parameter in an inverse problem / Amir Hosein Hadian-Rasanan, Jamal Amani Rad -- Optimal resource allocation in controlling infectious diseases / A.C. Mahasinghe, S.S.N. Perera, and K.K.W.H. Erandi -- Artificial intelligence and autonomous car / M. Ariturk, S. Yavuz, T. Allahviranloo -- Different techniques to solve monotone inclusion problems / T. Som, Pankaj Gautam, Avinash Dixit, D.R. Sahu. |
Record Nr. | UNINA-9910555101003321 |
Hoboken, New Jersey : , : Wiley, , [2020] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Mathematical methods in interdisciplinary sciences / / edited by Snehashish Chakraverty |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2020] |
Descrizione fisica | 1 online resource (467 pages) |
Disciplina | 515 |
Soggetto topico |
Mathematical analysis
Science - Mathematics |
ISBN |
1-119-58565-1
1-119-58561-9 1-119-58564-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Connectionist learning models for application problems involving differential and integral equations / S.Mall, S.K. Jeswal, S. Chakraverty -- Deep learning in population genetics / Romila Ghosh, Satyakama Paul -- A survey of classification techniques in speech emotion recognition / Tanmoy Roy, Tshilidzi Marwala, Snehashish Chakraverty -- Mathematical methods in deep learning / Srinivasa M. Upadhyayula, Kannan Venkataramanan -- Multimodal data representation and processing based on algebraic system of aggregates / Yevgeniya Sulema, Etienne Kerre -- Non-probabilistic analysis of thermal and chemical diffusion problems with uncertain bounded parameters / S. Nayak, T.D. Rao, S. Chakraverty -- Arbitrary order differential equations with fuzzy parameters / T. Allahviranloo, S. Salahshour -- Fluid dynamic problems in uncertain environment / P. Karunkar, U. Biswal, S. Chakraverty -- Fuzzy rough set theory based feature selection : a review / Tanmoy Som, Shivam Shreevastava, Anoop Kumar Tiwari, Shivani Singh -- Universal intervals : towards a dependency-aware interval algebra / Hend Dawood, Yasser Dawood -- Affine-contractor approach to handle nonlinear dynamical problems in uncertain environment / N.R. Mahato, S. Rout, S. Chakraverty -- Dynamic behavior of nanobeam using strain gradient model / Subrat Kumar Jena, Rajarama Mohan Jena, S. Chakraverty -- Structural static and vibration problems / M. Amin Changizi, Ion Stiharu -- Generalized differential and integral quadrature : theory and applications / Francesco Tornabene, Rossana Dimitri -- Brain activity reconstruction by finding a source parameter in an inverse problem / Amir Hosein Hadian-Rasanan, Jamal Amani Rad -- Optimal resource allocation in controlling infectious diseases / A.C. Mahasinghe, S.S.N. Perera, and K.K.W.H. Erandi -- Artificial intelligence and autonomous car / M. Ariturk, S. Yavuz, T. Allahviranloo -- Different techniques to solve monotone inclusion problems / T. Som, Pankaj Gautam, Avinash Dixit, D.R. Sahu. |
Record Nr. | UNINA-9910823373503321 |
Hoboken, New Jersey : , : Wiley, , [2020] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Recent Advances in Applications of Computational and Fuzzy Mathematics / / edited by Snehashish Chakraverty, Sanjeewa Perera |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XII, 178 p. 104 illus.) |
Disciplina | 004.0151 |
Soggetto topico |
Computer science—Mathematics
Computational intelligence Math Applications in Computer Science Computational Intelligence |
ISBN |
9789811311536
981-13-1153-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Shallow Water Wave Equation with Fuzzy Parameters -- Chapter 2. ANN Based Solution of Static Structural Problem with Fuzzy Parameters -- Chapter3. Localization of Robots: Fuzzy Matrix Contractor Based Approach -- Chapter 4. Modeling Uncertain Radon Diffusion Equation in Soil: Fuzzy Polynomials Approach -- Chapter 5. Solving Fuzzy Static Structural Problems using Symmetric Group -- Chapter 6. Modeling Dispersal Risk of Invasive Alien Species -- Chapter 7. Developing a Decision Support Mathematical Model to Quantify the Air Quality. |
Record Nr. | UNINA-9910349472703321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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