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008 150903s2012 xxu| o |||| 0|eng d
020 _a9780817682590
_99780817682590
024 7 _a10.1007/9780817682590
_2doi
035 _avtls000333718
039 9 _a201509030218
_bVLOAD
_c201404130520
_dVLOAD
_c201404092309
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040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA71-90
100 1 _aGautschi, Walter.
_eautor
_9307525
245 1 0 _aNumerical Analysis /
_cby Walter Gautschi.
250 _aSecond Edition.
264 1 _aBoston :
_bBirkhäuser Boston,
_c2012.
300 _axxvI, 588 páginas 59 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aPreface to the Second Edition -- Preface -- Prologue -- Chapter 1. Machine Arithmetic and Related Matters -- Chapter 2. Approximation and Interpolation -- Chapter 3. Numerical Differentiation and Integration -- Chapter 4. Nonlinear Equations -- Chapter 5. Initial Value Problems for ODEs --- One-Step Methods -- Chapter 6. Initial Value Problems for ODEs --- Multi-Step Methods -- Chapter 7. Two-Point Boundary Value Problems for ODEs -- References -- Subject Index.
520 _aThe book reads like an unfolding story... Topics are motivated with great care and ingenuity that might be given to establishing the drive behind characters in a good novel... Clarity is never sacrificed for elegance. Above all, the pace is always lively and brisk, the writing concise, and the author never lets the exposition bog down... [The book] successfully conveys the author's interest and experience in the subject to the reader. —SIAM Review (on the First Edition) Revised and updated, this second edition of Walter Gautschi's successful Numerical Analysis textbook explores computational methods for problems arising in areas such as classical analysis, approximation theory, nonlinear equations, and ordinary differential equations. Topics included in the book are presented with a view toward stressing basic principles and maintaining simplicity and teachability as far as possible, while subjects requiring a higher level of technicality are referenced in detailed bibliographic notes at the end of each chapter. Readers are thus given the guidance and opportunity to pursue advanced modern topics in more depth. Along with updated references, new biographical notes, and enhanced notational clarity, this second edition includes the expansion of an already large collection of exercises and assignments, both the kind that deal with theoretical and practical aspects of the subject and those requiring machine computation and the use of mathematical software. Perhaps most notably, the author has carefully developed and polished a complete solutions manual for this edition, which is available through the publisher and will serve as an exceptionally valuable resource for instructors. The text is geared to a one- or two-semester graduate course in numerical analysis for students who have a good background in calculus and advanced calculus and some knowledge of linear algebra, complex analysis, and differential equations. Previous exposure to numerical methods in an undergraduate class is desirable but not absolutely necessary.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780817682583
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-8176-8259-0
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c281654
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