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Coding the matrix :linear algebra th...

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Klein, Philip N.,

Coding the matrix :linear algebra through applications to computer science /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Coding the matrix :Philip N. Klein.
其他題名:	linear algebra through applications to computer science /
其他題名:	Linear algebra through applications to computer science
作者:	Klein, Philip N.,
出版者:	[Newton, Mass.] :Newtonian Press,2013.
面頁冊數:	xvi, 530 p. :ill. ;28 cm.
附註:	Includes index.
標題:	Algebras, Linear.
ISBN:	0615880991 (pbk.)

Coding the matrix :linear algebra through applications to computer science /
Klein, Philip N.,

Coding the matrix :linear algebra through applications to computer science /Linear algebra through applications to computer science Philip N. Klein. - ed 1 - [Newton, Mass.] :Newtonian Press,2013. - xvi, 530 p. :ill. ;28 cm.

Includes index.

The Function (and other mathematical and computational preliminaries) -- The Field -- The Vector -- The Vector Space -- The Matrix -- The Basis -- Dimension -- Gaussian elimination -- The Inner Product -- Orthogonalization -- Special bases -- The Singular Value Decomposition -- The Eigenvector -- The Linear Program.

ISBN: 0615880991 (pbk.)Subjects--Topical Terms:

183087
Algebras, Linear.

LC Class. No.: QA184.2 / K538

Coding the matrix :linear algebra through applications to computer science /
LDR:01041cam a2200229 a 450 001 480702
003 OCoLC
005 20140505013743.0
008 160930s2013 maua 001 0 eng c
020 $a 0615880991 (pbk.)
020 $a 9780615880990 (pbk.) : $c NT$1203
035 $a (OCoLC)861234337
035 $a .b52193913
040 $a STF $b eng $c STF $d YDXCP $d SZR $d CUY
042 $a nbic
050 4 $a QA184.2 $b K538 $y 2013
100 1 $a Klein, Philip N., $e author. $3 736483
245 1 0 $a Coding the matrix : $b linear algebra through applications to computer science / $c Philip N. Klein.
246 3 0 $a Linear algebra through applications to computer science
250 $a ed 1
260 $a [Newton, Mass.] : $b Newtonian Press, $c 2013.
300 $a xvi, 530 p. : $b ill. ; $c 28 cm.
500 $a Includes index.
505 0 $a The Function (and other mathematical and computational preliminaries) -- The Field -- The Vector -- The Vector Space -- The Matrix -- The Basis -- Dimension -- Gaussian elimination -- The Inner Product -- Orthogonalization -- Special bases -- The Singular Value Decomposition -- The Eigenvector -- The Linear Program.
650 0 $a Algebras, Linear. $3 183087
650 0 $a Computer science $x Mathematics. $3 181991

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