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Elementary linear algebra : a matrix approach / Lawrence E. Spence, Illinois State University, Arnold J. Insel, Illinois State University, Stephen H. Friedberg, Illinois State University.

Por: Colaborador(es): Tipo de material: TextoTextoIdioma: Inglés Series Pearson modern classicEditor: New York, NY : Pearson, [2018]Edición: Second editionDescripción: xviii, 626 páginas : ilustraciones ; 26 cmTipo de contenido:
  • texto
Tipo de medio:
  • sin mediación
Tipo de soporte:
  • volumen
ISBN:
  • 9780134689470
  • 013468947X
Tema(s): Género/Forma: Clasificación CDD:
  • 512.5   S744e 2018
Resumen: Embracing the recommendations of the Linear Algebra Curriculum Study Group, the authors have written a text that students will find both accessible and enlightening. Written for a matrix-oriented course, students from a variety of disciplines can expect a greater understanding of the concepts of linear algebra. Starting with matrices, vectors, and systems of linear equations, the authors move towards more advanced material, including linear independence, subspaces, and bases. The authors also encourage the use of technology, either computer software (MATLAB) or super-calculators, freeing students from tedious computations so they are better able to focus on the conceptual understanding of linear algebra. Lastly, students will find a variety of applications to engage their interest, demonstrated via economics, traffic flow, anthropology, Google searches, computer graphics, or music to name a few. By leveraging technology and incorporating engaging examples and numerous practice problems and exercises, this text best serves the needs of students attempting to master linear algebra.
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Embracing the recommendations of the Linear Algebra Curriculum Study Group, the authors have written a text that students will find both accessible and enlightening. Written for a matrix-oriented course, students from a variety of disciplines can expect a greater understanding of the concepts of linear algebra. Starting with matrices, vectors, and systems of linear equations, the authors move towards more advanced material, including linear independence, subspaces, and bases. The authors also encourage the use of technology, either computer software (MATLAB) or super-calculators, freeing students from tedious computations so they are better able to focus on the conceptual understanding of linear algebra. Lastly, students will find a variety of applications to engage their interest, demonstrated via economics, traffic flow, anthropology, Google searches, computer graphics, or music to name a few. By leveraging technology and incorporating engaging examples and numerous practice problems and exercises, this text best serves the needs of students attempting to master linear algebra.

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