店鋪： 中華商務進口圖書旗艦店
齣版社： DoverPublications
ISBN：9780486623184
商品編碼：25757615524
包裝：平裝
開本：大25開
用紙：輕型紙
頁數：288
正文語種：英語
具體描述
綫性代數和矩陣理論基礎 Linear Algebra and Matrix Theory
Series: Dover Books on MathematicsPaperback: 288 pagesPublisher: Dover Publications (October 17, 2012)Language: EnglishISBN-10: 0486623181ISBN-13: 978-0486623184Product Dimensions: 134.62 x 200.66 x 15.24mm | 317.51g
內容簡介
Advanced undergraduate and first-year graduate students have long regarded this text as one of the best available works on matrix theory in the context of modern algebra. Teachers and students will find it particularly suited to bridging the gap between ordinary undergraduate mathematics and completely abstract mathematics.The first five chapters treat topics important to economics, psychology, statistics, physics, and mathematics. Subjects include equivalence relations for matrixes, postulational approaches to determinants, and bilinear, quadratic, and Hermitian forms in their natural settings. The final chapters apply chiefly to students of engineering, physics, and advanced mathematics. They explore groups and rings, canonical forms for matrixes with respect to similarity via representations of linear transformations, and unitary and Euclidean vector spaces. Numerous examples appear throughout the text.
Series: Dover Books on MathematicsPaperback: 288 pagesPublisher: Dover Publications (October 17, 2012)Language: EnglishISBN-10: 0486623181ISBN-13: 978-0486623184Product Dimensions: 134.62 x 200.66 x 15.24mm | 317.51g
內容簡介
Advanced undergraduate and first-year graduate students have long regarded this text as one of the best available works on matrix theory in the context of modern algebra. Teachers and students will find it particularly suited to bridging the gap between ordinary undergraduate mathematics and completely abstract mathematics.The first five chapters treat topics important to economics, psychology, statistics, physics, and mathematics. Subjects include equivalence relations for matrixes, postulational approaches to determinants, and bilinear, quadratic, and Hermitian forms in their natural settings. The final chapters apply chiefly to students of engineering, physics, and advanced mathematics. They explore groups and rings, canonical forms for matrixes with respect to similarity via representations of linear transformations, and unitary and Euclidean vector spaces. Numerous examples appear throughout the text.
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