Linear algebra : theory and applications / Ward Cheney, David Kincaid.

Por:

Cheney, E. W. (Elliott Ward), 1929- [autor]

Colaborador(es):

Kincaid, David (David Ronald)

Tipo de material: Texto

TextoEditor: Sudbury, MA : Jones & Bartlett Learning, c2012Edición: 2nd editionDescripción: xxiii, 624 páginas ; 24 cmTipo de contenido:

texto

Tipo de medio:

no mediado

Tipo de portador:

volumen

ISBN:

9781449613525

Tema(s):

Álgebra lineal

Clasificación LoC:

QA184.2 .C54 2012

Revisión: Ward Cheney and David Kincaid have developed Linear Algebra: Theory and Applications, Second Edition, a multi-faceted introductory textbook, which was motivated by their desire for a single text that meets the various requirements for differing courses within linear algebra. For theoretically-oriented students, the text guides them as they devise proofs and deal with abstractions by focusing on a comprehensive blend between theory and applications. For application-oriented science and engineering students, it contains numerous exercises that help them focus on understanding and learning not only vector spaces, matrices, and linear transformations, but uses of software tools available for use in applied linear algebra. Using a flexible design, it is an ideal textbook for instructors who wish to make their own choice regarding what material to emphasis, and to accentuate those choices with homework assignments from a large variety of exercises, both in the text and online.

Existencias ( 1 )
Notas de título ( 2 )

Existencias
Tipo de ítem	Biblioteca actual	Signatura	Copia número	Estado	Fecha de vencimiento	Código de barras
Libro	BURRF: FG (PP)	QA184.2 .C54 2012	1			1080228547

Incluye referencias bibliográficas (páginas 607-610) e índice.

Ward Cheney and David Kincaid have developed Linear Algebra: Theory and Applications, Second Edition, a multi-faceted introductory textbook, which was motivated by their desire for a single text that meets the various requirements for differing courses within linear algebra. For theoretically-oriented students, the text guides them as they devise proofs and deal with abstractions by focusing on a comprehensive blend between theory and applications. For application-oriented science and engineering students, it contains numerous exercises that help them focus on understanding and learning not only vector spaces, matrices, and linear transformations, but uses of software tools available for use in applied linear algebra. Using a flexible design, it is an ideal textbook for instructors who wish to make their own choice regarding what material to emphasis, and to accentuate those choices with homework assignments from a large variety of exercises, both in the text and online.