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Author | Title | Accn# | Year | Item Type | Claims |
| 21 |
Mbiock, Aristide |
Radiation in Enclosures |
I11457 |
2000 |
eBook |
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| 22 |
Milstein, Grigori Noah |
Stochastic Numerics for Mathematical Physics |
I11424 |
2004 |
eBook |
|
| 23 |
Lipatov, Alexander S |
The Hybrid Multiscale Simulation Technology |
I11371 |
2002 |
eBook |
|
| 24 |
Emmerich, Heike |
The Diffuse Interface Approach in Materials Science |
I11360 |
2003 |
eBook |
|
| 25 |
Liseikin, Vladimir D |
A Computational Differential Geometry Approach to Grid Generation |
I11320 |
2004 |
eBook |
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| 26 |
Harney, Hanns L |
Bayesian Inference |
I11266 |
2003 |
eBook |
|
| 27 |
Krizek, Michal |
Conjugate Gradient Algorithms and Finite Element Methods |
I11205 |
2004 |
eBook |
|
| 28 |
Esposti, Mirko |
The Mathematical Aspects of Quantum Maps |
I11187 |
2003 |
eBook |
|
| 29 |
Haken, Hermann |
Brain Dynamics |
I11179 |
2002 |
eBook |
|
| 30 |
Armfield, Steve |
Computational Fluid Dynamics 2002 |
I11088 |
2003 |
eBook |
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22.
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| Title | Stochastic Numerics for Mathematical Physics |
| Author(s) | Milstein, Grigori Noah;Tretyakov, Michael V |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2004. |
| Description | XIX, 596 p : online resource |
| Abstract Note | Stochastic differential equations have many applications in the natural sciences. Besides, the employment of probabilistic representations together with the Monte Carlo technique allows us to reduce solution of multi-dimensional problems for partial differential equations to integration of stochastic equations. This approach leads to powerful computational mathematics that is presented in the treatise. The authors propose many new special schemes, some published here for the first time. In the second part of the book they construct numerical methods for solving complicated problems for partial differential equations occurring in practical applications, both linear and nonlinear. All the methods are presented with proofs and hence founded on rigorous reasoning, thus giving the book textbook potential. An overwhelming majority of the methods are accompanied by the corresponding numerical algorithms which are ready for implementation in practice. The book addresses researchers and graduate students in numerical analysis, physics, chemistry, and engineering as well as mathematical biology and financial mathematics |
| ISBN,Price | 9783662100639 |
| Keyword(s) | 1. Computational Science and Engineering
2. Computer mathematics
3. EBOOK
4. EBOOK - SPRINGER
5. MATHEMATICAL PHYSICS
6. NUMERICAL ANALYSIS
7. Numerical and Computational Physics, Simulation
8. PHYSICS
9. Physics, general
10. PROBABILITIES
11. Probability Theory and Stochastic Processes
12. Theoretical, Mathematical and Computational Physics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11424 |
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On Shelf |
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23.
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| Title | The Hybrid Multiscale Simulation Technology : An Introduction with Application to Astrophysical and Laboratory Plasmas |
| Author(s) | Lipatov, Alexander S |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2002. |
| Description | XVIII, 403 p : online resource |
| Abstract Note | This book is a comprehensive description of hybrid plasma simulation models and will provide a very useful summary and guide to the vast literature on this topic. It addresses researchers and graduate students knowledgeable about computational science and numerical analysis, and can be used in courses on astrophysical and space plasmas. It is also meant for plasma installation designers. The coupled Vlasov--Maxwell equations with collisions describing well the physical system are far too heavy for numerical siumulations. Hybrid models treat some aspects kinetically and some as fluids. In the first part the author discusses hybrid codes, which include a wide spectrum of description for ions, positrons, dust grains, atoms and electrons. In the second part he treats the applications to basic plasma phenomena like particle acceleration and dissipation processes as well as to the global interaction of the solar wind with nonmagnetic planets, comets, and the local interstellar medium |
| ISBN,Price | 9783662050125 |
| Keyword(s) | 1. ATOMS
2. Atoms and Molecules in Strong Fields, Laser Matter Interaction
3. Computational Mathematics and Numerical Analysis
4. Computer mathematics
5. EBOOK
6. EBOOK - SPRINGER
7. Numerical and Computational Physics, Simulation
8. PHYSICS
9. PLASMA (IONIZED GASES)
10. PLASMA PHYSICS
11. SPACE SCIENCES
12. Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics)
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11371 |
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On Shelf |
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25.
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| Title | A Computational Differential Geometry Approach to Grid Generation |
| Author(s) | Liseikin, Vladimir D |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2004. |
| Description | XIV, 264 p : online resource |
| Abstract Note | Grid technology whose achievements have significant impact on the efficiency of numerical codes still remains a rapidly advancing field of computational and applied mathematics. New achievements are being added by the creation of more sophisticated techniques, modification of the available methods, and implementation of more subtle tools as well as the results of the theories of differential equations, calculas of variations, and Riemannian geometry being applied to the formulation of grid models and analysis of grid properties. The development of comprehensive differential and variational grid gen?? eration techniques reviewed in the monographs of J. F. Thompson, Z. U. A. Warsi, C. W. Mastin, P. Knupp, S. Steinberg, V. D. Liseikin has been largely based on a popular concept in accordance with which a grid model realizing the required grid properties should be formulated through a linear combina?? tion of basic and control grid operators with weights. A typical basic grid operator is the operator responsible for the well-posedness of the grid model and construction of unfolding grids, e. g. the Laplace equations (generalized Laplace equations for surfaces) or the functional of grid smoothness which produces fixed nonfolding grids while grid clustering is controlled by source terms in differential grid formulations or by an adaptation functional in vari?? ational models. However, such a formulation does not obey the fundamental invariance laws with respect to parameterizations of physical geometries. It frequently results in cumbersome governing grid equations whose choice of weight and control functions provide conflicting grid requirements |
| ISBN,Price | 9783662054154 |
| Keyword(s) | 1. Classical and Continuum Physics
2. Computational Mathematics and Numerical Analysis
3. Computer mathematics
4. Continuum physics
5. DIFFERENTIAL GEOMETRY
6. EBOOK
7. EBOOK - SPRINGER
8. Mathematical Methods in Physics
9. Numerical and Computational Physics, Simulation
10. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11320 |
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On Shelf |
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26.
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| Title | Bayesian Inference : Parameter Estimation and Decisions |
| Author(s) | Harney, Hanns L |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2003. |
| Description | XIII, 263 p : online resource |
| Abstract Note | The book provides a generalization of Gaussian error intervals to situations where the data follow non-Gaussian distributions. This usually occurs in frontier science, where the observed parameter is just above background or the histogram of multiparametric data contains empty bins. Then the validity of a theory cannot be decided by the chi-squared-criterion, but this long-standing problem is solved here. The book is based on Bayes' theorem, symmetry and differential geometry. In addition to solutions of practical problems, the text provides an epistemic insight: The logic of quantum mechanics is obtained as the logic of unbiased inference from counting data. However, no knowledge of quantum mechanics is required. The text, examples and exercises are written at an introductory level |
| ISBN,Price | 9783662060063 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. Computational Mathematics and Numerical Analysis
3. Computer mathematics
4. DYNAMICAL SYSTEMS
5. EBOOK
6. EBOOK - SPRINGER
7. PROBABILITIES
8. Probability Theory and Stochastic Processes
9. QUANTUM COMPUTERS
10. Quantum Information Technology, Spintronics
11. QUANTUM PHYSICS
12. SPINTRONICS
13. STATISTICAL PHYSICS
14. Statistical Theory and Methods
15. Statistics??
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| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11266 |
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On Shelf |
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27.
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| Title | Conjugate Gradient Algorithms and Finite Element Methods |
| Author(s) | Krizek, Michal;Neittaanm??ki, Pekka;Glowinski, Roland;Korotov, Sergey |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2004. |
| Description | XV, 384 p : online resource |
| Abstract Note | The position taken in this collection of pedagogically written essays is that conjugate gradient algorithms and finite element methods complement each other extremely well. Via their combinations practitioners have been able to solve differential equations and multidimensional problems modeled by ordinary or partial differential equations and inequalities, not necessarily linear, optimal control and optimal design being part of these problems. The aim of this book is to present both methods in the context of complicated problems modeled by linear and nonlinear partial differential equations, to provide an in-depth discussion on their implementation aspects. The authors show that conjugate gradient methods and finite element methods apply to the solution of real-life problems. They address graduate students as well as experts in scientific computing |
| ISBN,Price | 9783642185601 |
| Keyword(s) | 1. Computational Intelligence
2. Computational Science and Engineering
3. Computer mathematics
4. EBOOK
5. EBOOK - SPRINGER
6. Fluid- and Aerodynamics
7. FLUIDS
8. Numerical and Computational Physics, Simulation
9. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11205 |
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On Shelf |
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30.
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| Title | Computational Fluid Dynamics 2002 : Proceedings of the Second International Conference on Computational Fluid Dynamics, ICCFD, Sydney, Australia, 15???19 July 2002 |
| Author(s) | Armfield, Steve;Morgan, P;Srinivas, Karkenahalli |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2003. |
| Description | XXII, 826 p : online resource |
| Abstract Note | The International Conference on Computational Fluid Dynamics (ICCFD) is the merger of the International Conference on Numerical Methods in Fluid Dynamics (ICNMFD) and the International Symposium on Computational Fluid Dynamics (ISCFD). It is held every two years and brings together physicists, mathematicians and engineers to review and share recent advances in mathematical and computational techniques for modeling fluid dynamics. The proceedings of the 2002 conference held in Sydney, Australia, contain a selection of refereed contributions and are meant to serve as a source of reference for all those interested in the state of the art in computational fluid dynamics |
| ISBN,Price | 9783642593345 |
| Keyword(s) | 1. Computational Science and Engineering
2. Computer mathematics
3. EBOOK
4. EBOOK - SPRINGER
5. Engineering Fluid Dynamics
6. FLUID MECHANICS
7. Fluid- and Aerodynamics
8. FLUIDS
9. Numerical and Computational Physics, Simulation
10. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11088 |
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On Shelf |
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