Numerical Analysis: Mathematics of Scientific Computing

Copertina anteriore
American Mathematical Soc., 2002 - 788 pagine
4 Recensioni
This book introduces students with diverse backgrounds to various types of mathematical analysis that are commonly needed in scientific computing. The subject of numerical analysis is treated from a mathematical point of view, offering a complete analysis of methods for scientific computing with appropriate motivations and careful proofs. In an engaging and informal style, the authors demonstrate that many computational procedures and intriguing questions of computer science arise from theorems and proofs. Algorithms are presented in pseudocode, so that students can immediately write computer programs in standard languages or use interactive mathematical software packages. This book occasionally touches upon more advanced topics that are not usually contained in standard textbooks at this level.
  

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Review: Numerical Analysis: Mathematics of Scientific Computing

Recensione dell'utente  - Admirable - Goodreads

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Review: Numerical Analysis: Mathematics of Scientific Computing

Recensione dell'utente  - Tom Schulte - Goodreads

This was the textbook for my first two semesters of graduate school, ably taught by Prof,. Kruk. Leggi recensione completa

Indice

II
3
III
15
IV
28
V
37
VI
55
VII
64
VIII
73
IX
74
XLVII
502
XLVIII
507
XLIX
513
L
519
LI
524
LII
530
LIII
539
LIV
549

X
81
XI
93
XII
100
XIII
109
XIV
130
XV
139
XVI
140
XVII
149
XVIII
163
XIX
186
XX
197
XXI
207
XXII
232
XXIII
245
XXIV
254
XXV
257
XXVI
265
XXVII
273
XXVIII
287
XXIX
298
XXX
308
XXXI
327
XXXII
338
XXXIII
349
XXXIV
366
XXXV
377
XXXVI
388
XXXVII
392
XXXVIII
405
XXXIX
420
XL
438
XLI
445
XLII
451
XLIII
460
XLIV
465
XLV
478
XLVI
492
LV
557
LVI
565
LVII
572
LVIII
581
LIX
589
LX
593
LXI
597
LXII
608
LXIII
615
LXIV
623
LXV
629
LXVI
634
LXVII
642
LXVIII
650
LXIX
660
LXX
667
LXXI
676
LXXII
681
LXXIII
689
LXXIV
695
LXXV
700
LXXVI
711
LXXVII
712
LXXVIII
716
LXXIX
719
LXXX
721
LXXXI
722
LXXXII
723
LXXXIII
724
LXXXIV
725
LXXXV
726
LXXXVI
727
LXXXVII
731
LXXXVIII
745
LXXXIX
771
Copyright

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Informazioni sull'autore (2002)

Kincaid is the recently retired Director of the Bartlett School of Graduate Studies at University College London. Prior to his academic career he was variously London Regional Property Manager for IBM, a member of the Visitors Board of the Building Research Establishment, and Associate Director of Symonds Facilities Management, and Chief Engineer for Drake and Scull Engineering in London.

Informazioni bibliografiche