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1. |
Record Nr. |
UNINA9910450182703321 |
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Autore |
Ovchinnikov S. G (Sergeĭ Gennadievich) |
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Titolo |
Hubbard operators in the theory of strongly correlated electrons [[electronic resource] /] / S.G. Ovchinnikov, V.V.Valʹkov |
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Pubbl/distr/stampa |
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London, : Imperial College Press, c2004 |
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ISBN |
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1-281-86658-X |
9786611866587 |
1-86094-597-X |
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Descrizione fisica |
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1 online resource (254 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Hubbard model |
Electron configuration - Mathematical models |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Contents; Preface; PART 1; PART 2; References; Index |
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Sommario/riassunto |
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This book provides the first systematic discourse on a very peculiarapproach to the theory of strongly correlated systems. HubbardX-operators have been known for a long time but have not been widelyused because of their awkward algebra. The book shows that it ispossible to deal with X-operators even in the general multilevel localeigenstate system, and not just in the case of the nondegenerateHubbard model. X-operators provide the natural language for describingquasiparticles in the Hubbard subbands with unusual doping andtemperature-dependent band structures. |
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2. |
Record Nr. |
UNINA9910788862803321 |
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Autore |
Kiusalaas Jaan |
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Titolo |
Numerical methods in engineering with Python 3 / / Jaan Kiusalaas [[electronic resource]] |
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Pubbl/distr/stampa |
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Cambridge : , : Cambridge University Press, , 2013 |
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ISBN |
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1-107-23829-3 |
1-139-62616-7 |
1-107-25503-1 |
1-139-62244-7 |
1-139-61686-2 |
1-139-61314-6 |
1-139-52389-9 |
1-299-27646-6 |
1-139-61128-3 |
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Edizione |
[Third edition.] |
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Descrizione fisica |
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1 online resource (xi, 423 pages) : digital, PDF file(s) |
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Classificazione |
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Disciplina |
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Soggetti |
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Engineering mathematics - Data processing |
Python (Computer program language) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
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Nota di contenuto |
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Machine generated contents note: 1. Introduction to Python; 2. Systems of linear algebraic equations; 3. Interpolation and curve fitting; 4. Roots of equations; 5. Numerical differentiation; 6. Numerical integration; 7. Initial value problems; 8. Two-point boundary value problems; 9. Symmetric matrix eigenvalue problems; 10. Introduction to optimization. |
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Sommario/riassunto |
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This book is an introduction to numerical methods for students in engineering. It covers solution of equations, interpolation and data fitting, solution of differential equations, eigenvalue problems and optimisation. The algorithms are implemented in Python 3, a high-level programming language that rivals MATLAB® in readability and ease of use. All methods include programs showing how the computer code is utilised in the solution of problems. The book is based on Numerical |
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Methods in Engineering with Python, which used Python 2. This new edition demonstrates the use of Python 3 and includes an introduction to the Python plotting package Matplotlib. This comprehensive book is enhanced by the addition of numerous examples and problems throughout. |
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