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Coding the matrix : = linear algebra...

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Klein, Philip N.

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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Coding the matrix :/ Philip N. Klein, Brown University.
Reminder of title:	linear algebra through applications to computer science /
remainder title:	Linear algebra through applications to computer science.
Author:	Klein, Philip N.
Published:	[Newton, Mass.] :Newtonian Press, : 2013.,
Description:	xvi, 530 p. :ill. ;28 cm.
Notes:	Includes index.
Subject:	Algebras, Linear. -
ISBN:	9780615880990

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, Brown University. - Edition 1. - [Newton, Mass.] :Newtonian Press,2013. - xvi, 530 p. :ill. ;28 cm.

Includes index.

The function (and other mathematical and computational preliminaries) --

ISBN: 9780615880990US35.00Subjects--Topical Terms:

521915
Algebras, Linear.

LC Class. No.: QA184.2 / .K538 2013

Coding the matrix : = linear algebra through applications to computer science /
LDR:01003cam a2200181 a 4500 001 2108082
008 180501s2013 maua 001 0 eng
020 $a 9780615880990 $q (pbk.) : $c US35.00
020 $a 0615880991 $q (pbk.)
040 $a STF $b eng
050 # 4 $a QA184.2 $b .K538 2013
100 1 $a Klein, Philip N. $3 2195841
245 1 0 $a Coding the matrix : $b linear algebra through applications to computer science / $c Philip N. Klein, Brown University.
246 3 1 $a Linear algebra through applications to computer science.
246 3 1 $a Linear algebra through computer science applications
250 $a Edition 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 # $t The function (and other mathematical and computational preliminaries) -- $t The field -- $t The vector -- $t The vector space -- $t The matrix -- $t The basis -- $t Dimension -- $t Gaussian elimination -- $t The inner product -- $t Orthogonalization -- $t Special bases -- $t The singular value decomposition -- $t The eigenvector -- $t The linear program.
650 # 0 $a Algebras, Linear. $3 521915
650 # 0 $a Computer science $x Mathematics. $3 532725

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壽豐校區(SF Campus)
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last issue: 1 (2018/09/11)
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