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international law / Shaw Malcolm N.

Public ISBD Titre : international law Type de document : texte imprimé Auteurs : Shaw Malcolm N., Auteur Mention d'édition : 4e éd Editeur : Cambridge Année de publication : 1997 Importance : xivi-939 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-0-521-62671-2 Note générale : index Langues : Anglais (eng) Mots-clés : droit  loi  internationale  et  municipal  droits  de  l'homme  état Index. décimale : 341 Droit international Résumé : Cambridge university press is part of the university of cambridge.It is a charitable enterprise dedicated to printing and publishing for the advancement of knowledge throughout the world.In recognition of the fact that there are many parts of the world where people have difficulty in purchasing their own copies of the best international textbooks, cambridge university press is now publishing a series of low priced editions.These are reprints of internationally respected books from cambridge university press, specially printed and priced for the benefit of students and teachers in selected countries. Note de contenu : 1.The nature and development of international law 2.International law today 3.Sources 4.International law and municipal law 5.The subjects of international law 6.The international protection of human rights 7.The regional protection of human rights 8.Recognition ... international law [texte imprimé] / Shaw Malcolm N., Auteur  . -  4e éd . - [S.l.] : Cambridge, 1997 . - xivi-939 p. : ill. ; 24 cm. ISBN : 978-0-521-62671-2 index Langues : Anglais (eng) Mots-clés : droit  loi  internationale  et  municipal  droits  de  l'homme  état Index. décimale : 341 Droit international Résumé : Cambridge university press is part of the university of cambridge.It is a charitable enterprise dedicated to printing and publishing for the advancement of knowledge throughout the world.In recognition of the fact that there are many parts of the world where people have difficulty in purchasing their own copies of the best international textbooks, cambridge university press is now publishing a series of low priced editions.These are reprints of internationally respected books from cambridge university press, specially printed and priced for the benefit of students and teachers in selected countries. Note de contenu : 1.The nature and development of international law 2.International law today 3.Sources 4.International law and municipal law 5.The subjects of international law 6.The international protection of human rights 7.The regional protection of human rights 8.Recognition ...

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
043111	341 SHA	Papier	Bibliothèque Centrale	SC. sociales	Disponible

Statistics / Harry Frank

Public ISBD Titre : Statistics : concepts and applications Type de document : texte imprimé Auteurs : Harry Frank, Auteur ; Steven C Althoen, Auteur Editeur : Cambridge Année de publication : 1994 Importance : xxvi-853 p. Présentation : ill. Format : 25 cm ISBN/ISSN/EAN : 978-0-521-49852-4 Note générale : Index Mots-clés : statistiques Index. décimale : 519.22 Théorie statistique. Modèles statistiques. Statistiques mathématiques Résumé : This is a 'classical' general statistics text written in a modern voice.the authors bring mathematical,theoretical and conceptual integrity to a body of topics and techniques that is appropriate to a first course in statistics and do so in a way that is accessible to students whose mathematical preparation does not go beyond the standard curriculum for college algebra.The informal approach provides conceptual richness and develops a subtext of mathematical instruction that achieves a high level of rigour.The text presents a thorough,step-by-step development of fundamental principles. Note de contenu : Part 1.Organization and description of data Part 2.Probability Part 3.Introduction to statistical inference Part 4.Hypothesis testing:intermediate techniques Statistics : concepts and applications [texte imprimé] / Harry Frank, Auteur ; Steven C Althoen, Auteur . - [S.l.] : Cambridge, 1994 . - xxvi-853 p. : ill. ; 25 cm. ISBN : 978-0-521-49852-4 Index Mots-clés : statistiques Index. décimale : 519.22 Théorie statistique. Modèles statistiques. Statistiques mathématiques Résumé : This is a 'classical' general statistics text written in a modern voice.the authors bring mathematical,theoretical and conceptual integrity to a body of topics and techniques that is appropriate to a first course in statistics and do so in a way that is accessible to students whose mathematical preparation does not go beyond the standard curriculum for college algebra.The informal approach provides conceptual richness and develops a subtext of mathematical instruction that achieves a high level of rigour.The text presents a thorough,step-by-step development of fundamental principles. Note de contenu : Part 1.Organization and description of data Part 2.Probability Part 3.Introduction to statistical inference Part 4.Hypothesis testing:intermediate techniques

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
043131	519.22 FRA	Papier	Bibliothèque Centrale	Mathématiques	Disponible

The Student's introduction to mathematica / Torrence, Bruce F

Public ISBD Titre : The Student's introduction to mathematica : a handbook for precalculus, calculus, and linear algebra Type de document : texte imprimé Auteurs : Torrence, Bruce F, Auteur ; Torrence, Eve A., Auteur Mention d'édition : 2 éd. Editeur : Cambridge Année de publication : 1999 Importance : 484 p Présentation : ill. Format : 25 cm. ISBN/ISSN/EAN : 978-0-521-71789-2 Note générale : Includes index Langues : Anglais (eng) Mots-clés : Mathematica  (Computer  file) Mathematics  --  Data  processing Mathematica  (logiciel) Index. décimale : 519.1 Analyse combinatoire. Théorie des graphies Résumé : Increasingly, educators are turning to Mathematica for instructing students in science and mathematics. The growing popularity of this exciting software package creates a need for undergraduate students to be familiar with its many functions and uses. The Student's Introduction to Mathematica® neatly follows a standard mathematics curriculum, allowing students to practice what they learn. The text lucidly presents those aspects of the software that are the most useful to students. Mathematica commands are introduced as a means of solving problems and illuminating the underlying mathematical principles. Following a brief introduction to the program, Bruce and Eve Torrence discuss functions and graphs, algebra, calculus, and multivariate calculus, and finish with a chapter on linear algebra. No prerequisites other than high school level mathematics are assumed. This work can be used in a variety of courses, from precalculus, through single and multi-variable calculus, to linear algebra. In addition to its course use, this book is an excellent tutorial for those wishing to learn Mathematica and brush up on their mathematics at the same time. The volume is compatible with Mathematica version 3 and higher Note de contenu : Preface; 1. Getting started; 2. Working with Mathematica; 3. Functions and their graphs; 4. Algebra; 5. Calculus; 6. Multivariable calculus; 7. Linear algebra. ISBN 13 : 978-0521717892 The Student's introduction to mathematica : a handbook for precalculus, calculus, and linear algebra [texte imprimé] / Torrence, Bruce F, Auteur ; Torrence, Eve A., Auteur  . -  2 éd. . - [S.l.] : Cambridge, 1999 . - 484 p : ill. ; 25 cm. ISBN : 978-0-521-71789-2 Includes index Langues : Anglais (eng) Mots-clés : Mathematica  (Computer  file) Mathematics  --  Data  processing Mathematica  (logiciel) Index. décimale : 519.1 Analyse combinatoire. Théorie des graphies Résumé : Increasingly, educators are turning to Mathematica for instructing students in science and mathematics. The growing popularity of this exciting software package creates a need for undergraduate students to be familiar with its many functions and uses. The Student's Introduction to Mathematica® neatly follows a standard mathematics curriculum, allowing students to practice what they learn. The text lucidly presents those aspects of the software that are the most useful to students. Mathematica commands are introduced as a means of solving problems and illuminating the underlying mathematical principles. Following a brief introduction to the program, Bruce and Eve Torrence discuss functions and graphs, algebra, calculus, and multivariate calculus, and finish with a chapter on linear algebra. No prerequisites other than high school level mathematics are assumed. This work can be used in a variety of courses, from precalculus, through single and multi-variable calculus, to linear algebra. In addition to its course use, this book is an excellent tutorial for those wishing to learn Mathematica and brush up on their mathematics at the same time. The volume is compatible with Mathematica version 3 and higher Note de contenu : Preface; 1. Getting started; 2. Working with Mathematica; 3. Functions and their graphs; 4. Algebra; 5. Calculus; 6. Multivariable calculus; 7. Linear algebra. ISBN 13 : 978-0521717892

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
052181	519.1 TOR	Papier	Bibliothèque Centrale	Mathématiques	Disponible

Principles of embedded networked systems design / Pottie, Gregory J.

Public ISBD Titre : Principles of embedded networked systems design Type de document : texte imprimé Auteurs : Pottie, Gregory J., Auteur ; Kaiser, William Joseph, Auteur Editeur : Cambridge Année de publication : 2005 Importance : 1 vol. (XIX-526 p.) Présentation : ill., couv. ill. en coul. Format : 26 cm. ISBN/ISSN/EAN : 978-0-521-09523-5 Note générale : Notes bibliogr. Index Langues : Anglais (eng) Mots-clés : Systèmes  enfouis  (informatique)  Architecture  des  réseaux  d'ordinateurs  Embedded  computer  systems  --  Design  and  construction  Computer  networks  System  design Index. décimale : 681.3.02 Conception,construction et structures des systèmes machines et éléments de traitement de données.(Conception des systèmes) Résumé : Embedded network systems (ENS) provide a set of technologies that can link the physical world to large-scale networks in applications such as monitoring of borders, infrastructure, health, the environment, automated production, supply chains, homes and places of business. This book details the fundamentals for this interdisciplinary and fast-moving field. The book begins with mathematical foundations and the relevant background topics in signal propagation, sensors, detection and estimation theory, and communications. Key component technologies in ENS are discussed: synchronization and position localization, energy and data management, actuation, and node architecture. Ethical, legal and social implications are addressed. The final chapter summarizes some of the lessons learned in producing multiple ENS generations. A focus on fundamental principles together with extensive examples and problem sets make this text ideal for use on graduate courses in electrical engineering and computer science. It will also appeal to engineers involved in the design of ENS. Note de contenu : Introduction to embedded network systems. Representation of signals. Signal propagation. Sensor principles. Source detection and identification. Digital communications. Multiple source estimation and multiple access communications. Networking. Network position and synchronization services. Energy management. Data management. Articulation, mobility, and infrastructure. Node architecture. Network data integrity. Experimental systems design. Ethical, legal and social implications of ENS. Design principles for ENS.Appendix A. Gaussian Q-function. Appendix B. Optimization. Index. Principles of embedded networked systems design [texte imprimé] / Pottie, Gregory J., Auteur ; Kaiser, William Joseph, Auteur . - [S.l.] : Cambridge, 2005 . - 1 vol. (XIX-526 p.) : ill., couv. ill. en coul. ; 26 cm. ISBN : 978-0-521-09523-5 Notes bibliogr. Index Langues : Anglais (eng) Mots-clés : Systèmes  enfouis  (informatique)  Architecture  des  réseaux  d'ordinateurs  Embedded  computer  systems  --  Design  and  construction  Computer  networks  System  design Index. décimale : 681.3.02 Conception,construction et structures des systèmes machines et éléments de traitement de données.(Conception des systèmes) Résumé : Embedded network systems (ENS) provide a set of technologies that can link the physical world to large-scale networks in applications such as monitoring of borders, infrastructure, health, the environment, automated production, supply chains, homes and places of business. This book details the fundamentals for this interdisciplinary and fast-moving field. The book begins with mathematical foundations and the relevant background topics in signal propagation, sensors, detection and estimation theory, and communications. Key component technologies in ENS are discussed: synchronization and position localization, energy and data management, actuation, and node architecture. Ethical, legal and social implications are addressed. The final chapter summarizes some of the lessons learned in producing multiple ENS generations. A focus on fundamental principles together with extensive examples and problem sets make this text ideal for use on graduate courses in electrical engineering and computer science. It will also appeal to engineers involved in the design of ENS. Note de contenu : Introduction to embedded network systems. Representation of signals. Signal propagation. Sensor principles. Source detection and identification. Digital communications. Multiple source estimation and multiple access communications. Networking. Network position and synchronization services. Energy management. Data management. Articulation, mobility, and infrastructure. Node architecture. Network data integrity. Experimental systems design. Ethical, legal and social implications of ENS. Design principles for ENS.Appendix A. Gaussian Q-function. Appendix B. Optimization. Index.

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
052174	681.3.02 POT	Papier	Bibliothèque Centrale	Informatique	Disponible

Neural network learning / Anthony, Martin

Public ISBD Titre : Neural network learning : theoretical foundations Type de document : texte imprimé Auteurs : Anthony, Martin, Auteur ; Bartlett, Peter L., Auteur Editeur : Cambridge Année de publication : 1999 Importance : 1 vol. (XIV-389 p.) Présentation : ill., couv. ill. Format : 23 cm ISBN/ISSN/EAN : 978-0-521-11862-0 Langues : Anglais (eng) Mots-clés : Ordinateurs  neuronaux Algorithmes Réseaux  neuronaux  (informatique) Neural  networks  (Computer  science) Index. décimale : 681.3.022 Périphérique.Connecté(on-line).Terminaux. Résumé : First published in 1999, this book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. Research on pattern classification with binary-output networks is surveyed, including a discussion of the relevance of the Vapnik-Chervonenkis dimension, and calculating estimates of the dimension for several neural network models. A model of classification by real-output networks is developed, and the usefulness of classification with a ‘large margin' is demonstrated. The authors explain the role of scale-sensitive versions of the Vapnik-Chervonenkis dimension in large margin classification, and in real prediction. They also discuss the computational complexity of neural network learning, describing a variety of hardness results, and outlining two efficient constructive learning algorithms. The book is self-contained and is intended to be accessible to researchers and graduate students in computer science, engineering, and mathematics. Note de contenu : Introduction, Part I. Pattern Recognition with Binary-output Neural Networks. The pattern recognition problem. The growth function and VC-dimension. General upper bounds on sample complexity. General lower bounds. The VC-dimension of linear threshold networks. Bounding the VC-dimension using geometric techniques. VC-dimension bounds for neural networks. Part II. Pattern Recognition with Real-output Neural Networks. Classification with real values. Covering numbers and uniform convergence. The pseudo-dimension and fat-shattering dimension. Bounding covering numbers with dimensions. The sample complexity of classification learning. The dimensions of neural networks. Model selection. Part III. Learning Real-Valued Functions. Learning classes of real functions. Uniform convergence results for real function classes. Bounding covering numbers. The sample complexity of learning function classes. Convex classes. Other learning problems. Part IV. Algorithmics. Efficient learning. Learning as optimisation. The Boolean perceptron. Hardness results for feed-forward networks. Constructive learning algorithms for two-layered networks Neural network learning : theoretical foundations [texte imprimé] / Anthony, Martin, Auteur ; Bartlett, Peter L., Auteur . - [S.l.] : Cambridge, 1999 . - 1 vol. (XIV-389 p.) : ill., couv. ill. ; 23 cm. ISBN : 978-0-521-11862-0 Langues : Anglais (eng) Mots-clés : Ordinateurs  neuronaux Algorithmes Réseaux  neuronaux  (informatique) Neural  networks  (Computer  science) Index. décimale : 681.3.022 Périphérique.Connecté(on-line).Terminaux. Résumé : First published in 1999, this book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. Research on pattern classification with binary-output networks is surveyed, including a discussion of the relevance of the Vapnik-Chervonenkis dimension, and calculating estimates of the dimension for several neural network models. A model of classification by real-output networks is developed, and the usefulness of classification with a ‘large margin' is demonstrated. The authors explain the role of scale-sensitive versions of the Vapnik-Chervonenkis dimension in large margin classification, and in real prediction. They also discuss the computational complexity of neural network learning, describing a variety of hardness results, and outlining two efficient constructive learning algorithms. The book is self-contained and is intended to be accessible to researchers and graduate students in computer science, engineering, and mathematics. Note de contenu : Introduction, Part I. Pattern Recognition with Binary-output Neural Networks. The pattern recognition problem. The growth function and VC-dimension. General upper bounds on sample complexity. General lower bounds. The VC-dimension of linear threshold networks. Bounding the VC-dimension using geometric techniques. VC-dimension bounds for neural networks. Part II. Pattern Recognition with Real-output Neural Networks. Classification with real values. Covering numbers and uniform convergence. The pseudo-dimension and fat-shattering dimension. Bounding covering numbers with dimensions. The sample complexity of classification learning. The dimensions of neural networks. Model selection. Part III. Learning Real-Valued Functions. Learning classes of real functions. Uniform convergence results for real function classes. Bounding covering numbers. The sample complexity of learning function classes. Convex classes. Other learning problems. Part IV. Algorithmics. Efficient learning. Learning as optimisation. The Boolean perceptron. Hardness results for feed-forward networks. Constructive learning algorithms for two-layered networks

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
052166	681.3.022 ANT	Papier	Bibliothèque Centrale	Informatique	Disponible