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Record Nr. |
UNINA9910477322903321 |
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Autore |
Križanić Juraj <1618-1683.> |
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Titolo |
Gramatično izkazanje ob ruskom jeziku 1666 Abdruck der Erstausgabe von 1848/59 besorgt von Gerd Freidhof / / Juraj Križanić |
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Pubbl/distr/stampa |
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Frankfurt am Main, Germany, : Auslieferung |
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Munich, Germany, : Verlag Otto Sagner, 2012, c1976 |
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Descrizione fisica |
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1 online resource (vi, 256 p.) |
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Collana |
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Specimina Philologiae Slavicae ; ; Band 10 |
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Altri autori (Persone) |
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Soggetti |
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Slavic languages - Grammar, Comparative |
Russian 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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Sommario/riassunto |
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Leben und Werk des Kroaten Juraj KRIŽANIĆ (1618 Obrh - 1683 Wien) sind in der slavistischen Forschung Anlass für zahlreiche Untersuchungen und Beiträge gewesen. Während die biographischen Daten und seine Ideen zum Panslavismus (geäussert in seinen politischen Schriften, besonders in der ' Politika') kaum noch Stoff für neue Erkenntnisse grösseren Umfangs bieten, scheint eine ausführlichere Beschäftigung mit den sprachwissenschaftlichen/grammatikalischen Werken noch notwendig, d.h. mit der hier neu abgedruckten Grammatik aus dem Jahre 1666. In kyrillischer Schrift, altslaw. Durchsuchbare elektronische Faksimileausgabe als PDF. Digitalisiert im Rahmen des DFG-Projektes Digi20 in Kooperation mit der BSB München. OCR-Bearbeitung durch den Verlag Otto Sagner. |
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2. |
Record Nr. |
UNINA9911022353303321 |
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Autore |
Liesen Jörg |
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Titolo |
Linear Algebra / / by Jörg Liesen, Volker Mehrmann |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[2nd ed. 2025.] |
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Descrizione fisica |
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1 online resource (XV, 389 p. 25 illus.) |
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Collana |
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Springer Undergraduate Mathematics Series, , 2197-4144 |
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Disciplina |
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Soggetti |
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Algebras, Linear |
Linear Algebra |
Àlgebra lineal |
Intel·ligència artificial |
Optimització matemàtica |
Aprenentatge automàtic |
Llibres electrònics |
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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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Nota di contenuto |
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Chapter 1. Linear Algebra in every day life -- Chapter 2. Basic mathematical concepts -- Chapter 3. Algebraic structures -- Chapter 4. Matrices -- Chapter 5. The echelon form and the rank of matrices -- Chapter 6. Linear systems of equations -- Chapter 7. Determinants of matrices -- Chapter 8. The characteristic polynomial and eigenvalues of matrices -- Chapter 9. Vector spaces -- Chapter 10. Linear maps -- Chapter 11. Linear forms and bilinear forms -- Chapter 12. Euclidean and unitary vector spaces -- Chapter 13. Adjoints of linear maps -- Chapter 14. Eigenvalues of endomorphisms -- Chapter 15. Polynomials and the Fundamental Theorem of Algebra -- Chapter 16. Cyclic subspaces, duality and the Jordan canonical form -- Chapter 17. Matrix functions and systems of differential equations -- Chapter 18. Special classes of endomorphisms -- Chapter 19. The singular value decomposition -- Chapter 20. The Kronecker product and linear matrix equations. |
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Sommario/riassunto |
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This self-contained textbook, now in a thoroughly revised and expanded second edition, takes a matrix-oriented approach to Linear Algebra. It presents a complete theory, including all details and proofs, |
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culminating in the Jordan canonical form and its derivation. Throughout, the book emphasizes the practical applicability of results. It therefore also covers special topics in Applied Linear Algebra, such as matrix functions, the singular value decomposition, the Kronecker product, and linear matrix equations. New to this edition are topics such as the Frobenius canonical form and a more detailed treatment of infinite-dimensional vector spaces, along with many additional exercises. The book’s matrix-oriented approach enhances intuition and simplifies abstract concepts, making them easier to understand and to apply in real-world scenarios. Key applications are illustrated through detailed examples. Additionally, several "MATLAB Minutes" allow students to explore concepts and results through computational experiments, supported by a brief introduction to MATLAB fundamentals. Together with over 380 exercises, this encourages active engagement with the material. |
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