An Introduction to Metric Spaces / Dhananjay Gopal (2021) / 978-0-367-49349-3

Public ISBD Titre : An Introduction to Metric Spaces Type de document : texte imprimé Auteurs : Dhananjay Gopal, Auteur ; Aniruddha Deshmukh, Auteur ; Ranadive, Abhay S., Auteur ; Shubham Yadav, Auteur Editeur : New York : CRC press Année de publication : 2021 Importance : 302 p. Présentation : couv:ill. Format : 25cm ISBN/ISSN/EAN : 978-0-367-49349-3 Langues : Anglais (eng) Catégories : 51 Mathématiques :517 Analyse mathématique :517.9 Equation différentielles. Equations intégrales fonctionnelles Mots-clés : Metric spaces Topological concepts Completeness Compactness Connectedness Continuous functions Fixed point theorems Mathematical analysis Geometric approach Topology Index. décimale : 517 Analyse Mathématiques Résumé : This book serves as a textbook for an introductory course in metric spaces for undergraduate or graduate students. The goal is to present the basics of metric spaces in a natural and intuitive way and encourage students to think geometrically while actively participating in the learning of this subject. In this book, the authors illustrated the strategy of the proofs of various theorems that motivate readers to complete them on their own. Bits of pertinent history are infused in the text, including brief biographies of some of the central players in the development of metric spaces. The textbook is divided into seven chapters that contain the main materials on metric spaces; namely, introductory concepts, completeness, compactness, connectedness, continuous functions and metric fixed point theorems with applications. Some of the noteworthy features of this book include - Diagrammatic illustrations that encourage readers to think geometrically - Focus on systematic strategy to generate ideas for the proofs of theorems - A wealth of remarks, observations along with a variety of exercises - Historical notes and brief biographies appearing throughout the text An Introduction to Metric Spaces [texte imprimé] / Dhananjay Gopal, Auteur ; Aniruddha Deshmukh, Auteur ; Ranadive, Abhay S., Auteur ; Shubham Yadav, Auteur . - New York : CRC press, 2021 . - 302 p. : couv:ill. ; 25cm. ISBN : 978-0-367-49349-3 Langues : Anglais (eng) Catégories : 51 Mathématiques :517 Analyse mathématique :517.9 Equation différentielles. Equations intégrales fonctionnelles Mots-clés : Metric spaces Topological concepts Completeness Compactness Connectedness Continuous functions Fixed point theorems Mathematical analysis Geometric approach Topology Index. décimale : 517 Analyse Mathématiques Résumé : This book serves as a textbook for an introductory course in metric spaces for undergraduate or graduate students. The goal is to present the basics of metric spaces in a natural and intuitive way and encourage students to think geometrically while actively participating in the learning of this subject. In this book, the authors illustrated the strategy of the proofs of various theorems that motivate readers to complete them on their own. Bits of pertinent history are infused in the text, including brief biographies of some of the central players in the development of metric spaces. The textbook is divided into seven chapters that contain the main materials on metric spaces; namely, introductory concepts, completeness, compactness, connectedness, continuous functions and metric fixed point theorems with applications. Some of the noteworthy features of this book include - Diagrammatic illustrations that encourage readers to think geometrically - Focus on systematic strategy to generate ideas for the proofs of theorems - A wealth of remarks, observations along with a variety of exercises - Historical notes and brief biographies appearing throughout the text

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Code-barres	Date d'acquisition	Origine	Cote	Support	Localisation	Section	Disponibilité
FSSA7398	517.98 GOP1	Livre	BIB-SE	BIB-SE	Disponible	31/12/2024

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN 2D/3D MEDICAL IMAGE PROCESSING / Rohit, Raja (2021) / 978-0-367-37435-8

Public ISBD Titre : ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN 2D/3D MEDICAL IMAGE PROCESSING Type de document : texte imprimé Auteurs : Rohit, Raja, Auteur ; Sandeep Kumar, Auteur ; Shilpa Rani, Auteur Editeur : New York : CRC press Année de publication : 2021 Importance : 196p. Présentation : couv:ill. Format : 30cm ISBN/ISSN/EAN : 978-0-367-37435-8 Langues : Anglais (eng) Catégories : 004 - Informatique. Science et technologie de l'informatique.:004.8 Intelligence artificielle Mots-clés : Artificial intelligence Machine learning Deep learning Medical image processing 2D medical imaging 3D medical imaging Image segmentation Computer-aided diagnosis Pattern recognition Digital radiology Convolutional neural networks Medical decision support Index. décimale : 004 Informatique Résumé : This book by Rihit Raja explores the critical intersection of artificial intelligence, machine learning, and two-dimensional and three-dimensional medical image processing. The work presents an in-depth analysis of advanced AI techniques applied to solving complex challenges in medical imaging, such as organ segmentation, lesion detection, and tissue characterization. The author methodically examines various deep neural network architectures tailored for medical image processing, with emphasis on convolutional neural networks and their specialized variants for volumetric 3D data. Clinical case studies illustrate the practical application of these technologies across diverse imaging modalities, including MRI, CT scanning, ultrasound, and radiography. Particular attention is given to technical aspects such as data preprocessing, augmentation of limited datasets, and strategies to overcome challenges specific to medical data, including heterogeneity and ethical considerations related to their use. The book also addresses recent advances in model interpretability and explainable AI, which are essential for the clinical adoption of these technologies. Intended for researchers, biomedical engineers, and healthcare professionals working at the interface between technology and medicine, this volume serves as a comprehensive resource on the state-of-the-art applications of artificial intelligence in contemporary medical image analysis and interpretation. ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN 2D/3D MEDICAL IMAGE PROCESSING [texte imprimé] / Rohit, Raja, Auteur ; Sandeep Kumar, Auteur ; Shilpa Rani, Auteur . - New York : CRC press, 2021 . - 196p. : couv:ill. ; 30cm. ISBN : 978-0-367-37435-8 Langues : Anglais (eng) Catégories : 004 - Informatique. Science et technologie de l'informatique.:004.8 Intelligence artificielle Mots-clés : Artificial intelligence Machine learning Deep learning Medical image processing 2D medical imaging 3D medical imaging Image segmentation Computer-aided diagnosis Pattern recognition Digital radiology Convolutional neural networks Medical decision support Index. décimale : 004 Informatique Résumé : This book by Rihit Raja explores the critical intersection of artificial intelligence, machine learning, and two-dimensional and three-dimensional medical image processing. The work presents an in-depth analysis of advanced AI techniques applied to solving complex challenges in medical imaging, such as organ segmentation, lesion detection, and tissue characterization. The author methodically examines various deep neural network architectures tailored for medical image processing, with emphasis on convolutional neural networks and their specialized variants for volumetric 3D data. Clinical case studies illustrate the practical application of these technologies across diverse imaging modalities, including MRI, CT scanning, ultrasound, and radiography. Particular attention is given to technical aspects such as data preprocessing, augmentation of limited datasets, and strategies to overcome challenges specific to medical data, including heterogeneity and ethical considerations related to their use. The book also addresses recent advances in model interpretability and explainable AI, which are essential for the clinical adoption of these technologies. Intended for researchers, biomedical engineers, and healthcare professionals working at the interface between technology and medicine, this volume serves as a comprehensive resource on the state-of-the-art applications of artificial intelligence in contemporary medical image analysis and interpretation.

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Code-barres	Date d'acquisition	Origine	Cote	Support	Localisation	Section	Disponibilité
FSSA7556	004.86 RAJ1	Livre	BIB-SE	BIB-SE	Disponible	31/12/2024

Cooperative Control of Complex Network Systems with Dynamic Topologies. / Guanghui Wen (2021) / 978-1-03-201917-8

Public ISBD Titre : Cooperative Control of Complex Network Systems with Dynamic Topologies. Type de document : texte imprimé Auteurs : Guanghui Wen, Auteur ; Wenwu Yu, Auteur ; Peijun Wang ; Yuezu Lv, Auteur Editeur : New York : CRC press Année de publication : 2021 Importance : ‎ 304 p Présentation : couv:ill. Format : 1.76 x 17.8 x 25.4 cm ISBN/ISSN/EAN : 978-1-03-201917-8 Langues : Anglais (eng) Catégories : 51 Mathématiques :519.8 Recherche opérationnelle Mots-clés : Complex networks Cooperative control Dynamic topologies Multi-agent systems Distributed control Network synchronization Consensus algorithms Graph theory Networked systems Adaptive control Switched systems Nonlinear dynamics Index. décimale : 519.8 Recherche opérationnelle Résumé : This comprehensive volume by Guanghui Wen, Wenwu Yu, Peijun Wang, and Yuezu Lv addresses the cutting-edge field of cooperative control for complex network systems characterized by dynamic topologies. The book systematically explores theoretical frameworks and practical approaches for controlling networks where the connection patterns between nodes evolve over time. The authors present rigorous mathematical foundations for analyzing network stability, controllability, and performance in dynamic environments. Beginning with fundamentals of graph theory and network modeling, the text progresses to advanced topics including consensus algorithms, formation control, and synchronization protocols specifically designed for networks with time-varying structures. A significant portion of the work is dedicated to addressing practical challenges such as communication constraints, time delays, and uncertainty in dynamic network environments. The book incorporates both continuous-time and discrete-time system frameworks, providing comprehensive coverage of different modeling approaches relevant to various application domains. The theoretical developments are complemented by illustrative case studies from diverse fields including robotic swarms, power grids, transportation networks, and social systems. These examples demonstrate how the presented methodologies can be implemented to solve real-world coordination and control problems. This text serves as an invaluable resource for researchers, graduate students, and practitioners in control engineering, applied mathematics, and complex systems science seeking to understand and implement cooperative control strategies in networks with evolving interaction patterns.RéessayerClaude peut faire des erreurs. Assurez-vous de vérifier ses réponses. Cooperative Control of Complex Network Systems with Dynamic Topologies. [texte imprimé] / Guanghui Wen, Auteur ; Wenwu Yu, Auteur ; Peijun Wang ; Yuezu Lv, Auteur . - New York : CRC press, 2021 . - ‎ 304 p : couv:ill. ; 1.76 x 17.8 x 25.4 cm. ISBN : 978-1-03-201917-8 Langues : Anglais (eng) Catégories : 51 Mathématiques :519.8 Recherche opérationnelle Mots-clés : Complex networks Cooperative control Dynamic topologies Multi-agent systems Distributed control Network synchronization Consensus algorithms Graph theory Networked systems Adaptive control Switched systems Nonlinear dynamics Index. décimale : 519.8 Recherche opérationnelle Résumé : This comprehensive volume by Guanghui Wen, Wenwu Yu, Peijun Wang, and Yuezu Lv addresses the cutting-edge field of cooperative control for complex network systems characterized by dynamic topologies. The book systematically explores theoretical frameworks and practical approaches for controlling networks where the connection patterns between nodes evolve over time. The authors present rigorous mathematical foundations for analyzing network stability, controllability, and performance in dynamic environments. Beginning with fundamentals of graph theory and network modeling, the text progresses to advanced topics including consensus algorithms, formation control, and synchronization protocols specifically designed for networks with time-varying structures. A significant portion of the work is dedicated to addressing practical challenges such as communication constraints, time delays, and uncertainty in dynamic network environments. The book incorporates both continuous-time and discrete-time system frameworks, providing comprehensive coverage of different modeling approaches relevant to various application domains. The theoretical developments are complemented by illustrative case studies from diverse fields including robotic swarms, power grids, transportation networks, and social systems. These examples demonstrate how the presented methodologies can be implemented to solve real-world coordination and control problems. This text serves as an invaluable resource for researchers, graduate students, and practitioners in control engineering, applied mathematics, and complex systems science seeking to understand and implement cooperative control strategies in networks with evolving interaction patterns.RéessayerClaude peut faire des erreurs. Assurez-vous de vérifier ses réponses.

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Code-barres	Date d'acquisition	Origine	Cote	Support	Localisation	Section	Disponibilité
FSSA7383	519.86 WEN1	Livre	BIB-SE	BIB-SE	Disponible	31/12/2024

Discrete Mathematics and Applications / Kevin Ferland (2022) / 978-1-03-247689-6

Public ISBD Titre : Discrete Mathematics and Applications Type de document : texte imprimé Auteurs : Kevin Ferland, Auteur Mention d'édition : second edition Editeur : New York : CRC press Année de publication : 2022 Collection : Textbooks in Mathematics Importance : 916p. Présentation : couv:ill. Format : 35cm ISBN/ISSN/EAN : 978-1-03-247689-6 Langues : Anglais (eng) Résumé : Discrete Mathematics and Applications, Second Edition is intended for a one-semester course in discrete mathematics. Such a course is typically taken by mathematics, mathematics education, and computer science majors, usually in their sophomore year. Calculus is not a prerequisite to use this book. Part one focuses on how to write proofs, then moves on to topics in number theory, employing set theory in the process. Part two focuses on computations, combinatorics, graph theory, trees, and algorithms. Emphasizes proofs, which will appeal to a subset of this course market Links examples to exercise sets Offers edition that has been heavily reviewed and developed Focuses on graph theory Covers trees and algorithms Discrete Mathematics and Applications [texte imprimé] / Kevin Ferland, Auteur  . -  second edition . - New York : CRC press, 2022 . - 916p. : couv:ill. ; 35cm. - (Textbooks in Mathematics) . ISBN : 978-1-03-247689-6 Langues : Anglais (eng) Résumé : Discrete Mathematics and Applications, Second Edition is intended for a one-semester course in discrete mathematics. Such a course is typically taken by mathematics, mathematics education, and computer science majors, usually in their sophomore year. Calculus is not a prerequisite to use this book. Part one focuses on how to write proofs, then moves on to topics in number theory, employing set theory in the process. Part two focuses on computations, combinatorics, graph theory, trees, and algorithms. Emphasizes proofs, which will appeal to a subset of this course market Links examples to exercise sets Offers edition that has been heavily reviewed and developed Focuses on graph theory Covers trees and algorithms

Exemplaires(1)

Code-barres	Date d'acquisition	Origine	Cote	Support	Localisation	Section	Disponibilité
FSSA7425	519.1 FER1	Livre	BIB-SE	BIB-SE	Disponible	31/12/2024

INTRODUCTION TO ANALYSIS / Corey M. Dunn (2017) / 978-1-03-247677-3

Public ISBD Titre : INTRODUCTION TO ANALYSIS Type de document : texte imprimé Auteurs : Corey M. Dunn, Auteur Editeur : New York : CRC press Année de publication : 2017 Importance : 398p. Présentation : couv. ill. en coul. Format : 35cm ISBN/ISSN/EAN : 978-1-03-247677-3 Langues : Anglais (eng) Mots-clés : Sets, Function , proofs, The real numbers , ..... Index. décimale : 532 Résumé : This book is an ideal text for a one-semestre course on analysis, including an intoduction to proof.The author has endeavored to write this book entirely from the student's perspective: there is enough rigor to challenge even the best student in the class, but also enough explanation and detail to meet the needs of a strggling student. INTRODUCTION TO ANALYSIS [texte imprimé] / Corey M. Dunn, Auteur . - New York : CRC press, 2017 . - 398p. : couv. ill. en coul. ; 35cm. ISBN : 978-1-03-247677-3 Langues : Anglais (eng) Mots-clés : Sets, Function , proofs, The real numbers , ..... Index. décimale : 532 Résumé : This book is an ideal text for a one-semestre course on analysis, including an intoduction to proof.The author has endeavored to write this book entirely from the student's perspective: there is enough rigor to challenge even the best student in the class, but also enough explanation and detail to meet the needs of a strggling student.

Exemplaires(1)

Code-barres	Date d'acquisition	Origine	Cote	Support	Localisation	Section	Disponibilité
FSSA7411	517 DUN1	Livre	BIB-SE	BIB-SE	Disponible	31/12/2024

Representation Theory of Symmetric Groups / Pierre-Loic Meliot (2022) / 978-1-03-247692-6

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Understanding Real Analysis / Paul Zorn (2022) / 978-1-03-247645-2

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