Linear Algebra Thoroughly Explained - Japan Search model RDF

(There is only one resource "Linear Algebra Thoroughly Explained (図書)" with description graph. Other 6 resources are in nested tables, or just refer to the source resource and have no own description)

Linear Algebra Thoroughly Explained

description of https://ld.webcatplus.jp/data/22780005
rdf:type<https://jpsearch.go.jp/term/type/図書>
rdfs:label"Linear Algebra Thoroughly Explained"
schema:name"Linear Algebra Thoroughly Explained" @en
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ns0:agential 3_:vb66466004 (an orphan bnode)
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schema:creator 2<https://jpsearch.go.jp/entity/ncname/Sanderson,_Jeffrey> ( "Sanderson, Jeffrey")
schema:creator<https://jpsearch.go.jp/entity/ncname/Vujicic,_Milan> ( "Vujicic, Milan")
schema:datePublished"2010"
schema:description 4"責任表示: By (author) Vujicic, Milan; Edited by Sanderson, Jeffrey"
schema:description"資料種別: Paperback / softback"
schema:description"備考: The author of this book was Professor of Theoretical Physics at the University of Belgrade. The book is based on lectures he gave there to both undergraduate and postgraduate students over a period of several decades. It sets out to explain Linear Algebra from its fundamentals to the most advanced level. A special feature of this book is its didactical approach, with a myriad of thoroughly worked examples and excellent illustrations, which allows the reader to approach the subject from any level and to proceed to that of the most advanced applications. Throughout, the subject is explained with painstaking care. (Nielsen Book)...(more)"
schema:description"分類: BIC:PBF"
schema:edition"1st ed. Softcover of orig. ed. 2008"
schema:encodingFormat<https://ld.webcatplus.jp/ext/code/onix#BC>
schema:inLanguage<http://id.loc.gov/vocabulary/iso639-2/eng> ( "英語")
schema:isbn"9783642094101"
schema:numberOfPages"302p"
schema:publisher<https://ld.webcatplus.jp/entity/P1533456>
schema:size"H234 x W156"
schema:spatial<https://jpsearch.go.jp/entity/place/ドイツ>
schema:temporal<https://jpsearch.go.jp/entity/time/2010> ( "2010年")
schema:tocEntry"Vector Spaces.- Linear Mappings and Linear Systems.- Inner-Product Vector Spaces (Euclidean and Unitary Spaces).- Dual Spaces and the Change of Basis.- The Eigen Problem or Diagonal Form of Representing Matrices.- Tensor Product of Unitary Spaces.- The Dirac Notation in Quantum Mechanics: Dualism between Unitary Spaces (Sect. 4.1) and Isodualism between Their Superspaces (Sect. 4.7)....(more)"
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33 triples