LEADER 04401nam 22005895 450 001 9910480324103321 005 20210915190255.0 010 $a1-4612-0901-3 024 7 $a10.1007/978-1-4612-0901-0 035 $a(CKB)3400000000089313 035 $a(SSID)ssj0001297406 035 $a(PQKBManifestationID)11739645 035 $a(PQKBTitleCode)TC0001297406 035 $a(PQKBWorkID)11362436 035 $a(PQKB)11175862 035 $a(DE-He213)978-1-4612-0901-0 035 $a(MiAaPQ)EBC3074003 035 $a(PPN)238032906 035 $a(EXLCZ)993400000000089313 100 $a20121227d1993 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aLinear Algebra$b[electronic resource] $eAn Introduction to Abstract Mathematics /$fby Robert J. Valenza 205 $a1st ed. 1993. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d1993. 215 $a1 online resource (XVIII, 237 p.) 225 1 $aUndergraduate Texts in Mathematics,$x0172-6056 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-387-94099-5 311 $a1-4612-6940-7 320 $aIncludes bibliographical references and index. 327 $a1 Sets and Functions -- 1.1 Notation and Terminology -- 1.2 Composition of Functions -- 1.3 Inverse Functions -- 1.4 Digression on Cardinality -- 1.5 Permutations -- Exercises -- 2 Groups and Group Homomorphisms -- 2.1 Groups and Subgroups -- 2.2 Group Homomorphisms -- 2.3 Rings and Fields -- Exercises -- 3 Vector Spaces and Linear Transformations -- 3.1 Vector Spaces and Subspaces -- 3.2 Linear Transformations -- 3.3 Direct Products and Internal Direct Sums -- Exercises -- 4 Dimension -- 4.1 Bases and Dimension -- 4.2 Vector Spaces Are Free -- 4.3 Rank and Nullity -- Exercises -- 5 Matrices -- 5.1 Notation and Terminology -- 5.2 Introduction to Linear Systems -- 5.3 Solution Techniques -- 5.4 Multiple Systems and Matrix Inversion -- Exercises -- 6 Representation of Linear Transformations -- 6.1 The Space of Linear Transformations -- 6.2 The Representation of Hom(kn,km) -- 6.3 The Representation of Hom(V,V?) -- 6.4 The Dual Space -- 6.5 Change of Basis -- Exercises -- 7 Inner Product Spaces -- 7.1 Real Inner Product Spaces -- 7.2 Orthogonal Bases and Orthogonal Projection -- 7.3 Complex Inner Product Spaces -- Exercises -- 8 Determinants -- 8.1 Existence and Basic Properties -- 8.2 A Nonrecursive Formula; Uniqueness -- 8.3 The Determinant of a Product; Invertibility -- Exercises -- 9 Eigenvalues and Eigenvectors -- 9.1 Definitions and Elementary Properties -- 9.2 Hermitian and Unitary Transformations -- 9.3 Spectral Decomposition -- Exercises -- 10 Triangulation and Decomposition of Endomorphisms -- 10.1 The Cayley-Hamilton Theorem -- 10.2 Triangulation of Endomorphisms -- 10.3 Decomposition by Characteristic Subspaces -- 10.4 Nilpotent Mappings and the Jordan Normal Form -- Exercises -- Supplementary Topics -- 1 Differentiation -- 2 The Determinant Revisited -- 3 Quadratic Forms -- 4 An Introduction to Categories and Functors. 330 $aBased on lectures given at Claremont McKenna College, this text constitutes a substantial, abstract introduction to linear algebra. The presentation emphasizes the structural elements over the computational - for example by connecting matrices to linear transformations from the outset - and prepares the student for further study of abstract mathematics. Uniquely among algebra texts at this level, it introduces group theory early in the discussion, as an example of the rigorous development of informal axiomatic systems. 410 0$aUndergraduate Texts in Mathematics,$x0172-6056 606 $aAlgebra 606 $aMatrix theory 606 $aAlgebra$3https://scigraph.springernature.com/ontologies/product-market-codes/M11000 606 $aLinear and Multilinear Algebras, Matrix Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M11094 615 0$aAlgebra. 615 0$aMatrix theory. 615 14$aAlgebra. 615 24$aLinear and Multilinear Algebras, Matrix Theory. 676 $a512 686 $a15-01$2msc 700 $aValenza$b Robert J$4aut$4http://id.loc.gov/vocabulary/relators/aut$054714 906 $aBOOK 912 $a9910480324103321 996 $aLinear algebra$983097 997 $aUNINA LEADER 04135nam 22006495 450 001 9910881100903321 005 20240916211806.0 010 $a9783031600272$b(electronic bk.) 010 $z9783031600265 024 7 $a10.1007/978-3-031-60027-2 035 $a(MiAaPQ)EBC31608985 035 $a(Au-PeEL)EBL31608985 035 $a(CKB)34118620400041 035 $a(DE-He213)978-3-031-60027-2 035 $a(EXLCZ)9934118620400041 100 $a20240820d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aActivity Recognition and Prediction for Smart IoT Environments /$fedited by Michele Ianni, Antonella Guzzo, Raffaele Gravina, Hassan Ghasemzadeh, Zhelong Wang 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (188 pages) 225 1 $aInternet of Things, Technology, Communications and Computing,$x2199-1081 311 08$aPrint version: Ianni, Michele Activity Recognition and Prediction for Smart IoT Environments Cham : Springer,c2024 9783031600265 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Methodology for human activity recognition based on wearable sensor networks -- Efficient Sensing and Classification for Extended Battery Life -- Multi-user activity monitoring based on contactless sensing -- An efficient approach exploiting Ensemble Learning for Human Activity Recognition -- Activity Recognition Using 2-D LiDAR based on Improved MobileNet -- Habit mining through process-mining techniques. Survey and research challenges -- The role of ML in Activity Recognition in the Industry 4.0 -- IoT Based HAR patterns using Sensors based Approach in smart environment and enabled assistive technologies -- Trace2AR: a novel embedding for the detection of complex activity recognition -- Situation Aware Wearable Systems for Human Activity Recognition -- Conclusion. 330 $aThis book provides the latest developments in activity recognition and prediction, with particular focus on the Internet of Things. The book covers advanced research and state of the art of activity prediction and its practical application in different IoT related contexts, ranging from industrial to scientific, from business to daily living, from education to government and so on. New algorithms, architectures, and methodologies are proposed, as well as solutions to existing challenges with a focus on security, privacy, and safety. The book is relevant to researchers, academics, professionals and students. Provides a comprehensive review of the field of activity recognition; Covers an array of topics and applications illustrating the use of activity recognition in IoT related scenarios; Explains how to extract value from application logs and use the data to classify activities and predict actions. . 410 0$aInternet of Things, Technology, Communications and Computing,$x2199-1081 606 $aCooperating objects (Computer systems) 606 $aTelecommunication 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aBiometric identification 606 $aCyber-Physical Systems 606 $aCommunications Engineering, Networks 606 $aUser Interfaces and Human Computer Interaction 606 $aBiometrics 615 0$aCooperating objects (Computer systems). 615 0$aTelecommunication. 615 0$aUser interfaces (Computer systems). 615 0$aHuman-computer interaction. 615 0$aBiometric identification. 615 14$aCyber-Physical Systems. 615 24$aCommunications Engineering, Networks. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aBiometrics. 676 $a613.04244 702 $aIanni$b Michele 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910881100903321 996 $aActivity Recognition and Prediction for Smart IoT Environments$94207506 997 $aUNINA