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e-book

Numerical methods for engineers

Steven C. Chapra - Nama Orang; Raymond P. Canale - Nama Orang;

It has been over twenty years since we published the first edition of this book. Over that period, our original contention that numerical methods and computers would figure more prominently in the engineering curriculum—particularly in the early parts—has been dramatically borne out. Many universities now offer freshman, sophomore, and junior courses in both introductory computing and numerical methods. In addition, many of our colleagues are integrating computer-oriented problems into other courses at all levels of the curriculum. Thus, this new edition is still founded on the basic premise that student engineers should be provided with a strong and early introduction to numerical methods. Consequently, although we have expanded our coverage in the new edition, we have tried to maintain many of the features that made the first edition accessible to both lower- and upper-level undergraduates.


Ketersediaan

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Informasi Detail
Judul Seri
-
No. Panggil
-
Penerbit
New York : The McGraw-Hill Companies, Inc.., 2010
Deskripsi Fisik
TA345.C47 - 518.02462—dc22
Bahasa
English
ISBN/ISSN
978–0–07–340106–5
Klasifikasi
-
Tipe Isi
-
Tipe Media
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Tipe Pembawa
-
Edisi
6th ed.
Subjek
MATEMATIKA
SAINS
Info Detail Spesifik
-
Pernyataan Tanggungjawab
agus
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • FRONT MATTER
  • CONTENTS
  • CHAPTER 1. Mathematical Modeling and Engineering Problem Solving
  • CHAPTER 2. Programming and Software
  • CHAPTER 3. Approximations and Round-Off Errors
  • CHAPTER 4. Truncation Errors and the Taylor Series
  • CHAPTER 5. Bracketing Methods
  • CHAPTER 6. Open Methods
  • CHAPTER 7. Roots of Polynomials
  • CHAPTER 8. Case Studies; Roots of Equations
  • CHAPTER 9. Gauss Elimination
  • CHAPTER 10. LU Decomposition and Matrix Inversion
  • CHAPTER 11. Special Matrices and Gauss-Seidel
  • CHAPTER 12. Case Studies; Linear Algebraic Equations
  • CHAPTER 13. One-Dimensional Unconstrained Optimization
  • CHAPTER 14. Multidimensional Unconstrained Optimization
  • CHAPTER 15. Constrained Optimization
  • CHAPTER 16. Case Studies; Optimization
  • CHAPTER 17. Least-Squares Regression
  • CHAPTER 18. Interpolation
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