TRA CỨU
thông tin biểu ghi
ISBN 9789814508377
DDC 512.5
Tác giả CN Goodaire, Edgar G.
Nhan đề Linear algebra : pure & applied / Edgar G. Goodaire
Thông tin xuất bản [Hoboken], New Jersey, : World Scientific, 2014
Mô tả vật lý xvi, 716 pages. : illustrations ; 24 cm.
Tùng thư Textbooks
Tóm tắt This is a matrix-oriented approach to linear algebra that covers the traditional material of the courses generally known as “Linear Algebra I” and “Linear Algebra II” throughout North America, but it also includes more advanced topics such as the pseudoinverse and the singular value decomposition that make it appropriate for a more advanced course as well. As is becoming increasingly the norm, the book begins with the geometry of Euclidean 3-space so that important concepts like linear combination, linear independence and span can be introduced early and in a “real” context. The book reflects the author's background as a pure mathematician — all the major definitions and theorems of basic linear algebra are covered rigorously — but the restriction of vector spaces to Euclidean n-space and linear transformations to matrices, for the most part, and the continual emphasis on the system Ax=b, make the book less abstract and more attractive to the students of today than some others. As the subtitle suggests, however, applications play an important role too. Coding theory and least squares are recurring themes. Other applications include electric circuits, Markov chains, quadratic forms and conic sections, facial recognition and computer graphics.
Từ khóa tự do Vector spaces
Từ khóa tự do Determinants
Từ khóa tự do Linear transformations
Từ khóa tự do Linear algebra
Từ khóa tự do Matrices
Từ khóa tự do Pure mathematics
Từ khóa tự do Applications of linear algebra
Từ khóa tự do Eigenvalues & eigenvectors
Từ khóa tự do Applied mathematics
Địa chỉ 300Q12_Kho Mượn_02(3): 100668-70
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100 |aGoodaire, Edgar G.
245 |aLinear algebra : |bpure & applied / |cEdgar G. Goodaire
260 |a[Hoboken], New Jersey, : |bWorld Scientific, |c2014
300 |axvi, 716 pages. : |billustrations ; |c24 cm.
490 |aTextbooks
520 |aThis is a matrix-oriented approach to linear algebra that covers the traditional material of the courses generally known as “Linear Algebra I” and “Linear Algebra II” throughout North America, but it also includes more advanced topics such as the pseudoinverse and the singular value decomposition that make it appropriate for a more advanced course as well. As is becoming increasingly the norm, the book begins with the geometry of Euclidean 3-space so that important concepts like linear combination, linear independence and span can be introduced early and in a “real” context. The book reflects the author's background as a pure mathematician — all the major definitions and theorems of basic linear algebra are covered rigorously — but the restriction of vector spaces to Euclidean n-space and linear transformations to matrices, for the most part, and the continual emphasis on the system Ax=b, make the book less abstract and more attractive to the students of today than some others. As the subtitle suggests, however, applications play an important role too. Coding theory and least squares are recurring themes. Other applications include electric circuits, Markov chains, quadratic forms and conic sections, facial recognition and computer graphics.
541 |aTặng
653 |aVector spaces
653 |aDeterminants
653 |aLinear transformations
653 |aLinear algebra
653 |aMatrices
653|aPure mathematics
653|aApplications of linear algebra
653|aEigenvalues & eigenvectors
653|aApplied mathematics
852|a300|bQ12_Kho Mượn_02|j(3): 100668-70
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