Acoustic Cavitation and Bubble Dynamics / / by Kyuichi Yasui |
Autore | Yasui Kyuichi |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (VIII, 124 p. 84 illus.) |
Disciplina | 530.4275 |
Collana | Ultrasound and Sonochemistry |
Soggetto topico |
Chemometrics
Chemistry, Physical and theoretical Acoustics Fluid mechanics Math. Applications in Chemistry Theoretical and Computational Chemistry Engineering Fluid Dynamics |
ISBN | 3-319-68237-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Acoustic Cavitation -- Bubble Dynamics -- Unsolved Problems. |
Record Nr. | UNINA-9910298589103321 |
Yasui Kyuichi
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
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Lo trovi qui: Univ. Federico II | ||
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Adaptive Algorithms and Stochastic Approximations [[electronic resource] /] / by Albert Benveniste, Michel Metivier, Pierre Priouret |
Autore | Benveniste Albert |
Edizione | [1st ed. 1990.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990 |
Descrizione fisica | 1 online resource (XII, 364 p.) |
Disciplina | 519.2 |
Collana | Stochastic Modelling and Applied Probability |
Soggetto topico |
Probabilities
Chemometrics Computational intelligence Probability Theory and Stochastic Processes Math. Applications in Chemistry Computational Intelligence |
ISBN | 3-642-75894-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | I. Adaptive Algorithms: Applications -- 1. General Adaptive Algorithm Form -- 2. Convergence: the ODE Method -- 3. Rate of Convergence -- 4. Tracking Non-Stationary Parameters -- 5. Sequential Detection; Model Validation -- 6. Appendices to Part I -- II. Stochastic Approximations: Theory -- 1. O.D.E. and Convergence A.S. for an Algorithm with Locally Bounded Moments -- 2. Application to the Examples of Part I -- 3. Analysis of the Algorithm in the General Case -- 4. Gaussian Approximations to the Algorithms -- 5. Appendix to Part II: A Simple Theorem in the “Robbins-Monro” Case -- Subject Index to Part I -- Subject Index to Part II. |
Record Nr. | UNINA-9910480530803321 |
Benveniste Albert
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990 | ||
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Lo trovi qui: Univ. Federico II | ||
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Adaptive Algorithms and Stochastic Approximations [[electronic resource] /] / by Albert Benveniste, Michel Metivier, Pierre Priouret |
Autore | Benveniste Albert |
Edizione | [1st ed. 1990.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990 |
Descrizione fisica | 1 online resource (XII, 364 p.) |
Disciplina | 519.2 |
Collana | Stochastic Modelling and Applied Probability |
Soggetto topico |
Probabilities
Chemometrics Computational intelligence Probability Theory and Stochastic Processes Math. Applications in Chemistry Computational Intelligence |
ISBN | 3-642-75894-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | I. Adaptive Algorithms: Applications -- 1. General Adaptive Algorithm Form -- 2. Convergence: the ODE Method -- 3. Rate of Convergence -- 4. Tracking Non-Stationary Parameters -- 5. Sequential Detection; Model Validation -- 6. Appendices to Part I -- II. Stochastic Approximations: Theory -- 1. O.D.E. and Convergence A.S. for an Algorithm with Locally Bounded Moments -- 2. Application to the Examples of Part I -- 3. Analysis of the Algorithm in the General Case -- 4. Gaussian Approximations to the Algorithms -- 5. Appendix to Part II: A Simple Theorem in the “Robbins-Monro” Case -- Subject Index to Part I -- Subject Index to Part II. |
Record Nr. | UNINA-9910789215503321 |
Benveniste Albert
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990 | ||
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Lo trovi qui: Univ. Federico II | ||
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Adaptive Algorithms and Stochastic Approximations / / by Albert Benveniste, Michel Metivier, Pierre Priouret |
Autore | Benveniste Albert |
Edizione | [1st ed. 1990.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990 |
Descrizione fisica | 1 online resource (XII, 364 p.) |
Disciplina | 519.2 |
Collana | Stochastic Modelling and Applied Probability |
Soggetto topico |
Probabilities
Chemometrics Computational intelligence Probability Theory and Stochastic Processes Math. Applications in Chemistry Computational Intelligence |
ISBN | 3-642-75894-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | I. Adaptive Algorithms: Applications -- 1. General Adaptive Algorithm Form -- 2. Convergence: the ODE Method -- 3. Rate of Convergence -- 4. Tracking Non-Stationary Parameters -- 5. Sequential Detection; Model Validation -- 6. Appendices to Part I -- II. Stochastic Approximations: Theory -- 1. O.D.E. and Convergence A.S. for an Algorithm with Locally Bounded Moments -- 2. Application to the Examples of Part I -- 3. Analysis of the Algorithm in the General Case -- 4. Gaussian Approximations to the Algorithms -- 5. Appendix to Part II: A Simple Theorem in the “Robbins-Monro” Case -- Subject Index to Part I -- Subject Index to Part II. |
Record Nr. | UNINA-9910807086703321 |
Benveniste Albert
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advanced Topics in Shannon Sampling and Interpolation Theory [[electronic resource] /] / edited by Robert J.II Marks |
Edizione | [1st ed. 1993.] |
Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 1993 |
Descrizione fisica | 1 online resource (XIII, 360 p.) |
Disciplina | 621.3 |
Collana | Springer Texts in Electrical Engineering |
Soggetto topico |
Electrical engineering
Computers Chemometrics Computational intelligence Electrical Engineering Models and Principles Math. Applications in Chemistry Computational Intelligence |
ISBN | 1-4613-9757-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1 Gabor’s Signal Expansion and Its Relation to Sampling of the Sliding-Window Spectrum -- 1.1 Introduction -- 1.2 Sliding-Window Spectrum -- 1.3 Sampling Theorem for the Sliding-Window Spectrum -- 1.4 Examples of Window Functions -- 1.5 Gabor’s Signal Expansion -- 1.6 Examples of Elementary Signals -- 1.7 Degrees of Freedom of a Signal -- 1.8 Optical Generation of Gabor’s Expansion Coefficients for Rastered Signals -- 1.9 Conclusion -- 2 Sampling in Optics -- 2.1 Introduction -- 2.2 Historical Background -- 2.3 The von Laue Analysis -- 2.4 Degrees of Freedom of an Image -- 2.5 Superresolving Pupils -- 2.6 Fresnel SampHng -- 2.7 Exponential SampHng -- 2.8 Partially Coherent Fields -- 2.9 Optical Processing -- 2.10 Conclusion -- 3 A Multidimensional Extension of Papoulis’ Generalized Sampling Expansion with the Application in Minimum Density Sampling -- I: A Multidimensional Extension of Papoulis’ Generalized Sampling Expansion -- 3.1 Introduction -- 3.2 GSE Formulation -- 3.3 M-D Extension -- 3.4 Extension Generalization -- 3.5 Conclusion -- II: Sampling Multidimensional Band-Limited Functions At Minimum Densities -- 3.6 Sample Interdependency -- 3.7 Sampling Density Reduction Using M-D GSE -- 3.8 Computational Complexity of the Two Formulations -- 3.9 Sampling at the Minimum Density -- 3.10 Discussion -- 3.11 Conclusion -- 4 Nonuniform Sampling -- 4.1 Preliminary Discussions -- 4.2 General Nonuniform Sampling Theorems -- 4.3 Spectral Analysis of Nonuniform Samples and Signal Recovery -- 4.4 Discussion on Reconstruction Methods -- 5 Linear Prediction by Samples from the Past -- 5.1 Preliminaries -- 5.2 Prediction of Deterministic Signals -- 5.3 Prediction of Random Signals -- 6 Polar, Spiral, and Generalized Sampling and Interpolation -- 6.1 Introduction -- 6.2 Sampling in Polar Coordinates -- 6.3 Spiral Sampling -- 6.4 Reconstruction from Non-Uniform Samples by Convex Projections -- 6.5 Experimental Results -- 6.6 Conclusions -- Appendix A -- Appendix B -- 7 Error Analysis in Application of Generalizations of the Sampling Theorem -- Foreword: Welcomed General Sources for the Sampling Theorems -- 7.1 Introduction — Sampling Theorems -- 7.2 Error Bounds of the Present Extension of the Sampling Theorem -- 7.3 Applications -- Appendix A -- A.1 Analysis of Gibbs’ Phenomena. |
Record Nr. | UNINA-9910478906503321 |
New York, NY : , : Springer New York : , : Imprint : Springer, , 1993 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advanced Topics in Shannon Sampling and Interpolation Theory [[electronic resource] /] / edited by Robert J.II Marks |
Edizione | [1st ed. 1993.] |
Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 1993 |
Descrizione fisica | 1 online resource (XIII, 360 p.) |
Disciplina | 621.3 |
Collana | Springer Texts in Electrical Engineering |
Soggetto topico |
Electrical engineering
Computers Chemometrics Computational intelligence Electrical Engineering Models and Principles Math. Applications in Chemistry Computational Intelligence |
ISBN | 1-4613-9757-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1 Gabor’s Signal Expansion and Its Relation to Sampling of the Sliding-Window Spectrum -- 1.1 Introduction -- 1.2 Sliding-Window Spectrum -- 1.3 Sampling Theorem for the Sliding-Window Spectrum -- 1.4 Examples of Window Functions -- 1.5 Gabor’s Signal Expansion -- 1.6 Examples of Elementary Signals -- 1.7 Degrees of Freedom of a Signal -- 1.8 Optical Generation of Gabor’s Expansion Coefficients for Rastered Signals -- 1.9 Conclusion -- 2 Sampling in Optics -- 2.1 Introduction -- 2.2 Historical Background -- 2.3 The von Laue Analysis -- 2.4 Degrees of Freedom of an Image -- 2.5 Superresolving Pupils -- 2.6 Fresnel SampHng -- 2.7 Exponential SampHng -- 2.8 Partially Coherent Fields -- 2.9 Optical Processing -- 2.10 Conclusion -- 3 A Multidimensional Extension of Papoulis’ Generalized Sampling Expansion with the Application in Minimum Density Sampling -- I: A Multidimensional Extension of Papoulis’ Generalized Sampling Expansion -- 3.1 Introduction -- 3.2 GSE Formulation -- 3.3 M-D Extension -- 3.4 Extension Generalization -- 3.5 Conclusion -- II: Sampling Multidimensional Band-Limited Functions At Minimum Densities -- 3.6 Sample Interdependency -- 3.7 Sampling Density Reduction Using M-D GSE -- 3.8 Computational Complexity of the Two Formulations -- 3.9 Sampling at the Minimum Density -- 3.10 Discussion -- 3.11 Conclusion -- 4 Nonuniform Sampling -- 4.1 Preliminary Discussions -- 4.2 General Nonuniform Sampling Theorems -- 4.3 Spectral Analysis of Nonuniform Samples and Signal Recovery -- 4.4 Discussion on Reconstruction Methods -- 5 Linear Prediction by Samples from the Past -- 5.1 Preliminaries -- 5.2 Prediction of Deterministic Signals -- 5.3 Prediction of Random Signals -- 6 Polar, Spiral, and Generalized Sampling and Interpolation -- 6.1 Introduction -- 6.2 Sampling in Polar Coordinates -- 6.3 Spiral Sampling -- 6.4 Reconstruction from Non-Uniform Samples by Convex Projections -- 6.5 Experimental Results -- 6.6 Conclusions -- Appendix A -- Appendix B -- 7 Error Analysis in Application of Generalizations of the Sampling Theorem -- Foreword: Welcomed General Sources for the Sampling Theorems -- 7.1 Introduction — Sampling Theorems -- 7.2 Error Bounds of the Present Extension of the Sampling Theorem -- 7.3 Applications -- Appendix A -- A.1 Analysis of Gibbs’ Phenomena. |
Record Nr. | UNINA-9910789217903321 |
New York, NY : , : Springer New York : , : Imprint : Springer, , 1993 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advanced Topics in Shannon Sampling and Interpolation Theory [[electronic resource] /] / edited by Robert J.II Marks |
Edizione | [1st ed. 1993.] |
Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 1993 |
Descrizione fisica | 1 online resource (XIII, 360 p.) |
Disciplina | 621.3 |
Collana | Springer Texts in Electrical Engineering |
Soggetto topico |
Electrical engineering
Computers Chemometrics Computational intelligence Electrical Engineering Models and Principles Math. Applications in Chemistry Computational Intelligence |
ISBN | 1-4613-9757-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1 Gabor’s Signal Expansion and Its Relation to Sampling of the Sliding-Window Spectrum -- 1.1 Introduction -- 1.2 Sliding-Window Spectrum -- 1.3 Sampling Theorem for the Sliding-Window Spectrum -- 1.4 Examples of Window Functions -- 1.5 Gabor’s Signal Expansion -- 1.6 Examples of Elementary Signals -- 1.7 Degrees of Freedom of a Signal -- 1.8 Optical Generation of Gabor’s Expansion Coefficients for Rastered Signals -- 1.9 Conclusion -- 2 Sampling in Optics -- 2.1 Introduction -- 2.2 Historical Background -- 2.3 The von Laue Analysis -- 2.4 Degrees of Freedom of an Image -- 2.5 Superresolving Pupils -- 2.6 Fresnel SampHng -- 2.7 Exponential SampHng -- 2.8 Partially Coherent Fields -- 2.9 Optical Processing -- 2.10 Conclusion -- 3 A Multidimensional Extension of Papoulis’ Generalized Sampling Expansion with the Application in Minimum Density Sampling -- I: A Multidimensional Extension of Papoulis’ Generalized Sampling Expansion -- 3.1 Introduction -- 3.2 GSE Formulation -- 3.3 M-D Extension -- 3.4 Extension Generalization -- 3.5 Conclusion -- II: Sampling Multidimensional Band-Limited Functions At Minimum Densities -- 3.6 Sample Interdependency -- 3.7 Sampling Density Reduction Using M-D GSE -- 3.8 Computational Complexity of the Two Formulations -- 3.9 Sampling at the Minimum Density -- 3.10 Discussion -- 3.11 Conclusion -- 4 Nonuniform Sampling -- 4.1 Preliminary Discussions -- 4.2 General Nonuniform Sampling Theorems -- 4.3 Spectral Analysis of Nonuniform Samples and Signal Recovery -- 4.4 Discussion on Reconstruction Methods -- 5 Linear Prediction by Samples from the Past -- 5.1 Preliminaries -- 5.2 Prediction of Deterministic Signals -- 5.3 Prediction of Random Signals -- 6 Polar, Spiral, and Generalized Sampling and Interpolation -- 6.1 Introduction -- 6.2 Sampling in Polar Coordinates -- 6.3 Spiral Sampling -- 6.4 Reconstruction from Non-Uniform Samples by Convex Projections -- 6.5 Experimental Results -- 6.6 Conclusions -- Appendix A -- Appendix B -- 7 Error Analysis in Application of Generalizations of the Sampling Theorem -- Foreword: Welcomed General Sources for the Sampling Theorems -- 7.1 Introduction — Sampling Theorems -- 7.2 Error Bounds of the Present Extension of the Sampling Theorem -- 7.3 Applications -- Appendix A -- A.1 Analysis of Gibbs’ Phenomena. |
Record Nr. | UNINA-9910818048003321 |
New York, NY : , : Springer New York : , : Imprint : Springer, , 1993 | ||
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Lo trovi qui: Univ. Federico II | ||
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Applications of Quantum Dynamics in Chemistry / / by Fabien Gatti, Benjamin Lasorne, Hans-Dieter Meyer, André Nauts |
Autore | Gatti Fabien |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XVI, 429 p. 110 illus.) |
Disciplina | 541.28 |
Collana | Lecture Notes in Chemistry |
Soggetto topico |
Chemistry, Physical and theoretical
Quantum physics Chemoinformatics Chemometrics Theoretical and Computational Chemistry Quantum Physics Computer Applications in Chemistry Math. Applications in Chemistry |
ISBN | 3-319-53923-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I Introduction -- Part II Concepts and Methods: Quantum effects -- Electronic states and potential energy operators -- The Choice of coordinates -- Kinetic energy operators -- Introduction to molecular symmetry -- Introduction to numerical methods and to MCTDH -- Part III Applications: Infrared spectroscopy -- Quantum control with laser pulses in the electronic ground state -- Photodissociation spectra -- Cross sections for reactive scattering -- Quantum control with laser pulses for electronically excited states -- Non-adiabatic photochemistry -- Optimal control and quantum computers -- Part IV Conclusion. |
Record Nr. | UNINA-9910254147103321 |
Gatti Fabien
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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Chemical Kinetics, Stochastic Processes, and Irreversible Thermodynamics / / by Moisés Santillán |
Autore | Santillán Moisés |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (139 p.) |
Disciplina | 543.015195 |
Collana | Lecture Notes on Mathematical Modelling in the Life Sciences |
Soggetto topico |
Biomathematics
Probabilities Chemometrics Mathematical and Computational Biology Probability Theory and Stochastic Processes Math. Applications in Chemistry |
ISBN | 3-319-06689-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Brief Introduction to Chemical Kinetics -- Brief Introduction to Thermodynamics -- Different Approaches to Analyzing a Simple Chemical Reaction -- Molecule Synthesis and Degradation -- Enzymatic Reactions -- Receltor-Ligand Interaction -- Cooperativity -- Gene Expression and Regulation -- Ion Channel Dynamics and Ion Transport Across Memberanes -- References -- Index. |
Record Nr. | UNINA-9910299992903321 |
Santillán Moisés
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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Computational Chemistry : Introduction to the Theory and Applications of Molecular and Quantum Mechanics / / by Errol G. Lewars |
Autore | Lewars Errol G |
Edizione | [3rd ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (XVI, 728 p. 211 illus., 7 illus. in color.) |
Disciplina | 541.2 |
Soggetto topico |
Chemistry, Physical and theoretical
Chemometrics Chemical engineering Theoretical and Computational Chemistry Math. Applications in Chemistry Industrial Chemistry/Chemical Engineering |
ISBN | 3-319-30916-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. An Outline of What Computational Chemistry is All About -- 2. The Concept of the Potential Energy Surface -- 3. Molecular Mechanics -- 4. Introduction to Quantum Mechanics in Computational Chemistry -- 5. Ab Initio Calculations -- 6. Semiempirical Calculations -- 7. Density Functional Calculations -- 8. Some “Special” Topics -- 9. Selected Literature Highlights, Books, Websites, Software and Hardware -- Suggested Answers to Harder Questions -- Index. |
Record Nr. | UNINA-9910254044603321 |
Lewars Errol G
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
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Lo trovi qui: Univ. Federico II | ||
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