The Mathematics of Nonlinear Programming (Undergraduate Texts in Mathematics). Este artículo no está disponible.
Peressini, Anthony L.; Sullivan, Francis E.; Uhl, J.J. Jr.
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Idioma: inglés
Editorial: Springer, 2012
- Tapa blanda
- Nuevo
Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Vendedor de IberLibro desde 25 de marzo de 2015
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Condición: Nuevo
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Descripción del artículo del vendedor
In English.
N° de ref. del artículo ria9781461269892_new
- Título
- The Mathematics of Nonlinear Programming (Undergraduate Texts in Mathematics)
- Autor
- Peressini, Anthony L.; Sullivan, Francis E.; Uhl, J.J. Jr.
- Editorial
- Springer
- Año de publicación
- 2012
- Estado
- New
- Encuadernación
- Encuadernación de tapa blanda
- Idioma
- inglés
- ISBN 10
- 146126989X
- ISBN 13
- 9781461269892
- Peso del artículo
- 534 gramos
- Serie
- Libro 68 de 170: Undergraduate Texts in Mathematics
Nonlinear programming provides an excellent opportunity to explore an interesting variety of pure and solidly applicable mathematics, numerical analysis, and computing. This text develops some of the ideas and techniques involved in the optimization methods using calculus, leading to the study of convexity. This is followed by material on basic numerical methods, least squares, the Karush-Kuhn-Tucker theorem, penalty functions, and Lagrange multipliers. The authors have aimed their presentation at the student who has a working knowledge of matrix algebra and advanced calculus, but has had no previous exposure to optimization.
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De la contraportada
Nonlinear programming provides an excellent opportunity to explore an interesting variety of pure and solidly applicable mathematics, numerical analysis, and computing. This text develops some of the ideas and techniques involved in the optimization methods using calculus, leading to the study of convexity. This is followed by material on basic numerical methods, least squares, the Karush-Kuhn-Tucker theorem, penalty functions, and Lagrange multipliers. The authors have aimed their presentation at the student who has a working knowledge of matrix algebra and advanced calculus, but has had no previous exposure to optimization.
“Acerca de” puede pertenecer a otra edición de este título.
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