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[null,"1.","Record Nr.",null,"UNINA9910458397803321"]
[null,null,"Autore",null,"Poznyak Alexander S"]
[null,null,"Titolo",null,"Deterministic techniques [[electronic resource] /] / Alexander S. Poznyak"]
[null,null,"Pubbl/distr/stampa",null,"Amsterdam, : Elsevier, 2008-"]
[null,null,"ISBN",null,"1-281-17210-3"]
[{"$nulls":4},"9786611172107"]
[{"$nulls":4},"0-08-055610-8"]
[null,null,"Descrizione fisica",null,"1 online resource (803 p.)"]
[null,null,"Collana",null,"Advanced mathematical tools for automatic control engineers ; ; 1"]
[null,null,"Disciplina",null,"629.8312"]
[null,null,"Soggetti",null,"Automatic control - Mathematics"]
[{"$nulls":4},"Mathematics"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,"Nota di contenuto",null,"Front Cover; Advanced Mathematical Tools for Automatic Control Engineers; Copyright Page; Table of Contents; Preface; Notations and Symbols; List of Figures; Part I: Matrices and Related Topics; Chapter 1. Determinants; 1.1 Basic Definitions; 1.2 Properties of Numerical Determinants, Minors and Cofactors; 1.3 Linear Algebraic Equations and the Existence of Solutions; Chapter 2. Matrices and Matrix Operations; 2.1 Basic Definitions; 2.2 Some Matrix Properties; 2.3 Kronecker Product; 2.4 Submatrices, Partitioning of Matrices and Schur's Formulas; 2.5 Elementary Transformations on Matrices"]
[{"$nulls":4},"2.6 Rank of a Matrix2.7 Trace of a Quadratic Matrix; Chapter 3. Eigenvalues and Eigenvectors; 3.1 Vectors and Linear Subspaces; 3.2 Eigenvalues and Eigenvectors; 3.3 The Cayley-Hamilton Theorem; 3.4 The Multiplicities and Generalized Eigenvectors; Chapter 4. Matrix Transformations; 4.1 Spectral Theorem for Hermitian Matrices; 4.2 Matrix Transformation to the Jordan Form; 4.3 Polar and Singular-Value Decompositions; 4.4 Congruent Matrices and the Inertia of a Matrix; 4.5 Cholesky Factorization; Chapter 5. Matrix Functions; 5.1 Projectors; 5.2 Functions of a Matrix"]
[{"$nulls":4},"5.3 The Resolvent for a Matrix5.4 Matrix Norms; Chapter 6. Moore-Penrose Pseudoinverse; 6.1 Classical Least Squares Problem; 6.2 Pseudoinverse Characterization; 6.3 Criterion for Pseudoinverse Checking; 6.4 Some Identities for Pseudoinverse Matrices; 6.5 Solution "]
[{"$nulls":4},"of Least Squares Problem Using Pseudoinverse; 6.6 Cline's Formulas; 6.7 Pseudo-Ellipsoids; Chapter 7. Hermitian and Quadratic Forms; 7.1 Definitions; 7.2 Nonnegative Definite Matrices; 7.3 Sylvester Criterion; 7.4 The Simultaneous Transformation of a Pair of Quadratic Forms; 7.5 Simultaneous Reduction of more than Two Quadratic Forms"]
[{"$nulls":4},"7.6 A Related Maximum-Minimum Problem7.7 The Ratio of Two Quadratic Forms; Chapter 8. Linear Matrix Equations; 8.1 General Type of Linear Matrix Equation; 8.2 Sylvester Matrix Equation; 8.3 Lyapunov Matrix Equation; Chapter 9. Stable Matrices and Polynomials; 9.1 Basic Definitions; 9.2 Lyapunov Stability; 9.3 Necessary Condition of the Matrix Stability; 9.4 The Routh-Hurwitz Criterion; 9.5 The Liénard-Chipart Criterion; 9.6 Geometric Criteria; 9.7 Polynomial Robust Stability; 9.8 Controllable, Stabilizable, Observable and Detectable Pairs; Chapter 10. Algebraic Riccati Equation"]
[{"$nulls":4},"10.1 Hamiltonian Matrix10.2 All Solutions of the Algebraic Riccati Equation; 10.3 Hermitian and Symmetric Solutions; 10.4 Nonnegative Solutions; Chapter 11. Linear Matrix Inequalities; 11.1 Matrices as Variables and LMI Problem; 11.2 Nonlinear Matrix Inequalities Equivalent to LMI; 11.3 Some Characteristics of Linear Stationary Systems (LSS); 11.4 Optimization Problems with LMI Constraints; 11.5 Numerical Methods for LMI Resolution; Chapter 12. Miscellaneous; 12.1 Lambda-Matrix Inequalities; 12.2 Matrix Abel Identities; 12.3 S-Procedure and Finsler Lemma; 12.4 Farkaš Lemma"]
[{"$nulls":4},"12.5 Kantorovich Matrix Inequality"]
[null,null,null,"Sommario/riassunto","This book provides a blend of Matrix and Linear Algebra Theory, Analysis, Differential Equations, Optimization, Optimal and Robust Control. It contains an advanced mathematical tool which serves as a fundamental basis for both instructors and students who study or actively work in Modern Automatic Control or in its applications. It is includes proofs of all theorems and contains many examples with solutions. It is written for researchers, engineers, and advanced students who wish to increase their familiarity with different topics of modern and classical mathematics related to System and A"]
[null,"2.","Record Nr.",null,"UNINA9910827127603321"]
[null,null,"Titolo",null,"Exponential random graph models for social networks : theory, methods, and applications / / editors, Dean Lusher, Johan Koskinen, Garry Robbins [[electronic resource]]"]
[null,null,"Pubbl/distr/stampa",null,"Cambridge : , : Cambridge University Press, , 2013"]
[null,null,"ISBN",null,"1-107-23276-7"]
[{"$nulls":4},"1-139-85341-4"]
[{"$nulls":4},"1-107-25326-8"]
[{"$nulls":4},"1-139-83958-6"]
[{"$nulls":4},"1-139-84432-6"]
[{"$nulls":4},"0-511-89470-8"]
[{"$nulls":4},"1-139-84196-3"]
[{"$nulls":4},"1-283-83596-7"]
[{"$nulls":4},"1-139-84077-0"]
[null,null,"Descrizione fisica",null,"1 online resource (xxii, 336 pages) : digital, PDF file(s)"]
[null,null,"Collana",null,"Structural analysis in the social sciences ; ; 35"]
[null,null,"Classificazione",null,"SOC024000"]
[null,null,"Disciplina",null,"302.3"]
[null,null,"Soggetti",null,"Social networks - Mathematical models"]
[{"$nulls":4},"Social networks - Research - Graphic methods"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Title from publisher's bibliographic system (viewed on 05 Oct 2015)."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Machine generated contents note: Introduction Dean Lusher, Johan Koskinen and Garry Robins; 1. What are exponential random graph models Garry Robins and Dean Lusher; 2. The formation of social network structure Dean Lusher and Garry Robins; 3. A simplified account of ERGM as a statistical model Garry Robins and Dean Lusher; 4. An example of ERGM analysis Dean Lusher and Garry Robins; 5. Exponential random graph model fundamentals Johan Koskinene and Galina Daragonova; 6. Dependence graphs and sufficient statistics Johan Koskinen and Galina Daragonova; 7. Social selection, dyadic covariates and geospatial effects Garry Robins and Galina Daragonova; 8. Autologistic actor attribute models Galina Daragonova and Garry Robins; 9. ERGM extensions: models for multiple networks and bipartite networks Peng Wang; 10. Longitudinal models Tom Snijders and Johan Koskinen; 11. Simulation, estimation and goodness of fit Johan Koskinen and Tom Snijders; 12. Illustrations: simulation, "]
[{"$nulls":4},"estimation and goodness of fit Garry Robins and Dean Lusher; 13. Personal attitudes, perceived attitudes and social structures: a social selection model Dean Lusher and Garry Robins; 14. How to close a hole: exploring alternative closure mechanisms in inter-organizational networks Alessandro Lomi and Francesca Pallotti; 15. Interdependencies between working relations: multivariate ERGMs for advice and satisfaction Yu Zhao and Olaf Rank; 16. Brain, brawn or optimism? The structure and correlates of emergent military leadership Yuval Kalish and Gil Luria; 17. An ALAAM analysis of unemployment: the dual importance of who you know and where you live Galina Daragonova and Philippa Pattison; 18. Longitudinal changes in face-to-face and text message-mediated friendship networks Tasuku Igarashi; 19. The differential impact of directors' social and financial capital on corporate interlock formation Nicholas Harrigan and Matthew Bond; 20. Comparing networks: a structural correspondence between behavioural and recall networks Eric Quintane; 21. Modelling social networks: next steps Philippa Pattison and Tom Snijders."]
[null,null,null,"Sommario/riassunto","Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide a self-contained, exhaustive account of the theoretical and methodological underpinnings of ERGMs, including models for univariate, multivariate, bipartite, longitudinal and social-influence type ERGMs. Each method is applied in individual case studies illustrating how social science theories may be examined empirically using ERGMs. The authors supply the reader with sufficient detail to specify ERGMs, fit them to data with any of the available software packages and interpret the results."]
[null,"3.","Record Nr.",null,"UNINA9911024152003321"]
[null,null,"Titolo",null,"Rehabilitationspädagogik : Handlungsfelder im Wandel / Wiebke Stöhr, Martin Podszus, Gisela C. Schulze"]
[null,null,"Pubbl/distr/stampa",null,"Bad Heilbrunn, : Verlag Julius Klinkhardt, 2025"]
[null,null,"ISBN",null,"3-7815-6186-0"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (395 p.)"]
[null,null,"Soggetti",null,"Inklusion"]
[{"$nulls":4},"gesundheitliche Beeinträchtigungen"]
[{"$nulls":4},"Diversität"]
[{"$nulls":4},"Sonderpädagogik"]
[{"$nulls":4},"Selbstbestimmung"]
[{"$nulls":4},"ICF"]
[{"$nulls":4},"Entwicklungsbeeinträchtigungen"]
[{"$nulls":4},"Förderpädagogik"]
[{"$nulls":4},"Förderbedarf"]
[{"$nulls":4},"Professionsentwicklung"]
[{"$nulls":4},"multiprofessionelle Kooperation"]
[{"$nulls":4},"Versorgungsforschung"]
[{"$nulls":4},"Lehrerbildung"]
[{"$nulls":4},"Praxis"]
[{"$nulls":4},"Person-Umfeld-Analyse"]
[{"$nulls":4},"Gesundheit"]
[{"$nulls":4},"Eltern"]
[{"$nulls":4},"Kinder"]
[{"$nulls":4},"Lehrkräfte"]
[{"$nulls":4},"Rehabilitationstechnologien"]
[{"$nulls":4},"Beratung"]
[{"$nulls":4},"Digitalisierung in Rehabilitation"]
[{"$nulls":4},"Resilienz"]
[{"$nulls":4},"Klassifikationssystem"]
[{"$nulls":4},"Neurorehabilitation"]
[{"$nulls":4},"Assistive Technologien"]
[{"$nulls":4},"Lehrbuch"]
[{"$nulls":4},"Wissenschaft"]
[{"$nulls":4},"Studium"]
[{"$nulls":4},"Professionalisierung"]
[{"$nulls":4},"Partizipation"]
[{"$nulls":4},"Teilhabe"]
[null,null,"Lingua di pubblicazione",null,"Tedesco"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Die Rehabilitationspädagogik umfasst unterschiedliche Handlungsfelder und unterliegt in den letzten Jahren einer deutlichen Veränderung. Diese Entwicklungen werden mitbedingt durch aktuelle disziplinenübergreifende Forschungen sowie die zunehmende Berücksichtigung der Rechte von Menschen mit Beeinträchtigungen oder Behinderungen auf Selbstbestimmung, Bildung, Teilhabe und Gesundheit. Neue Technologien, Künstliche Intelligenz sowie die partizipative Versorgungsforschung beeinflussen dabei entscheidend das sich wandelnde Berufsbild. Die Autor:innen geben Einblicke in unterschiedliche Themen, Zielgruppen und Bereiche der Rehabilitationspädagogik. Neben theoretischen und empirischen Beiträgen von Wissenschaftler:innen kommen ebenfalls Praktiker:innen zu Wort. Das Buch richtet sich an Studierende, Wissenschaftler:innen und Praktiker:innen der Rehabilitationspädagogik und verwandter Disziplinen."]