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1. |
Record Nr. |
UNINA9910148826403321 |
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Autore |
Heinrich Bernd |
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Titolo |
Strafrecht Allgemeiner teil / / von Professor Dr. Bernd Heinrich |
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Pubbl/distr/stampa |
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Stuttgart, [Germany] : , : Verlag W. Kohlhammer, , 2016 |
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©2016 |
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ISBN |
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3-17-031059-3 |
3-17-031058-5 |
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Edizione |
[5., aktualisierte Auflage.] |
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Descrizione fisica |
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1 online resource (766 pages) |
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Collana |
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Studienreihe Rechtswissenschaften |
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Altri autori (Persone) |
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BoeckenWinfried |
KoriothStefan |
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Disciplina |
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Soggetti |
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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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PublicationDate: 20161019 |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Sommario/riassunto |
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Biographical note: Professor Dr. Bernd Heinrich lehrt an der Universität Tübingen Strafrecht und Strafprozessrecht. |
Long description: Das Lehrbuch bietet eine umfassende Darstellung der Allgemeinen Lehren des Strafrechts. Sein Aufbau ist zweigliedrig. Die für das grundsätzliche Verständnis für den Studienanfänger notwendigen Grundstrukturen sind zuerst ausführlich dargestellt und an zahlreichen Fallbeispielen erläutert. Ausgewählte Problemschwerpunkte für Examenskandidaten schließen sich an; anhand eines Fallbeispiels sind die wesentlichen in Wissenschaft und Praxis vertretenen Theorien aufgezeigt und im Wege eines Repetitoriums die examensrelevanten Probleme verdeutlicht. Diesem Zweck dienen auch die am Ende enthaltenen Zusammenstellungen (Aufbau- und Prüfungsschemata; Problemschwerpunkte) und Definitionen. |
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2. |
Record Nr. |
UNINA9910969695303321 |
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Autore |
Torokhti A (Anatoli) |
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Titolo |
Computational methods for modeling of nonlinear systems / / A. Torokhti, P. Howlett |
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Pubbl/distr/stampa |
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Amsterdam ; ; Boston, : Elsevier, 2007 |
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ISBN |
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9786611003906 |
9781281003904 |
1281003905 |
9780080475387 |
0080475388 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (413 p.) |
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Collana |
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Mathematics in science and engineering, , 0076-5392 ; ; v. 212 |
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Classificazione |
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Altri autori (Persone) |
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HowlettP. G <1944-> (Philip G.) |
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Disciplina |
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Soggetti |
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System theory |
Nonlinear systems - Mathematical models |
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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 (p. 379-393) and index. |
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Nota di contenuto |
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Front Cover; Computational Methods for Modelling of Nonlinear Systems; Copyright Page; Preface; Table of Contents; Chapter 1 Overview; Part I Methods of Operator Approximation in System Modelling; Chapter 2 Nonlinear Operator Approximation with Preassigned Accuracy; 2.1 Introduction; 2.2 Generic Formulation of the Problem; 2.3 Operator Approximation in Space C([0, 1]); 2.4 Operator Approximation in Banach Spaces by Operator Polynomials; 2.5 Approximation on Compact Sets in Topological Vector Spaces; 2.6 Approximation on Noncompact Sets in Hilbert Spaces |
2.7 Special Results for Maps into Banach Spaces2.8 Concluding Remarks; Chapter 3 Interpolation of Nonlinear Operators; 3.1 Introduction; 3.2 Lagrange Interpolation in Banach Spaces; 3.3 Weak Interpolation of Nonlinear Operators; 3.4 Strong interpolation; 3.5 Interpolation and approximation; 3.6 Some Related Results; 3.7 Concluding Remarks; Chapter 4 Realistic Operators and their Approximation; 4.1 Introduction; 4.2 Formalization of Concepts Related to Description of Real-World Objects; 4.3 Approximation of R-continuous Operators; 4.4 Concluding Remarks |
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Chapter 5 Methods of Best Approximation for Nonlinear Operators5.1 Introduction; 5.2 Best Approximation of Nonlinear Operators in Banach Spaces: "Deterministic" Case; 5.3 Estimation of Mean and Covariance Matrix for Random Vectors; 5.4 Best Hadamard-quadratic Approximation; 5.5 Best r-Degree Polynomial Approximation; 5.6 Best Causal Approximation; 5.7 Best Hybrid Approximations; 5.8 Concluding Remarks; Part II Optimal Estimation of Random Vectors; Chapter 6 Computational Methods for Optimal Filtering of Stochastic Signals; 6.1 Introduction |
6.2 Optimal Linear Filtering in Finite Dimensional Vector Spaces6.3 Optimal Linear Filtering in Hilbert Spaces; 6.4 Optimal Causal Linear Filtering with Piecewise Constant Memory; 6.5 Optimal Causal Polynomial Filtering with Arbitrarily Variable Memory; 6.6 Optimal Nonlinear Filtering with no Memory Constraint; 6.7 Concluding Remarks; Chapter 7 Computational Methods for Optimal Compression and Reconstruction of Random Data; 7.1 Introduction; 7.2 Standard Principal Component Analysis and Karhunen-Loève Transform (PCA-KLT); 7.3 Rank-constrained Matrix Approximations |
7.4 A Generic Principal Component Analysis and Karhunen-Loève Transform7.5 Optimal Hybrid Transform Based on Hadamard-quadratic Approximation; 7.6 Optimal Transform Formed by a Combination of Nonlinear Operators; 7.7 Optimal Generalized Hybrid Transform; 7.8 Concluding Remarks; Bibliography; Index; Series Page |
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Sommario/riassunto |
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In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank |
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