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Computational Science and Engineering
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eBay item number:126470611780
Item specifics
- Condition
- EAN
- 9780961408817
- MPN
- 9780961408817
- UPC
- Does not apply
- ISBN
- 0961408812
- Brand
- Not Available
- Book Title
- Computational Science and Engineering
- GTIN
- 09780961408817
- ISBN10
- 0961408812
- ISBN13
- 9780961408817
- Publication Year
- 2007
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Publication Name
- Computational Science and Engineering
- Item Height
- 1.5in
- Item Length
- 10.2in
- Publisher
- Wellesley-Cambridge Press
- Item Width
- 7.7in
- Item Weight
- 54.3 Oz
- Number of Pages
- 750 Pages
About this product
Product Information
Encompasses the full range of computational science and engineering from modeling to solution, whether analytic or numerical. Gilbert Strang has taught this material to thousands of engineers and scientists. Supporting resources, including video lectures, are provided by the author at www-math.mit.edu/cse.
Product Identifiers
Publisher
Wellesley-Cambridge Press
ISBN-10
0961408812
ISBN-13
9780961408817
eBay Product ID (ePID)
941203
Product Key Features
Publication Name
Computational Science and Engineering
Format
Hardcover
Language
English
Publication Year
2007
Type
Textbook
Number of Pages
750 Pages
Dimensions
Item Length
10.2in
Item Height
1.5in
Item Width
7.7in
Item Weight
54.3 Oz
Additional Product Features
Edition Description
Teacher's Edition
Reviews
'Gil Strang has given the discipline of computational science and engineering its first testament in this new and comprehensive book. It surely extends Gil's long tradition of practical, wide-ranging, and insightful books that are invaluable for students, teachers, and researchers alike. If you could have only one book on a desert island, this might be it.' William Briggs, Professor of Mathematics at University of Colorado at Denver, and SIAM Vice-President for Education
Table of Content
1. Applied Linear Algebra: 1.1 Four special matrices; 1.2 Differences, derivatives, and boundary conditions; 1.3 Elimination leads to K = LDL^T; 1.4 Inverses and delta functions; 1.5 Eigenvalues and eigenvectors; 1.6 Positive definite matrices; 1.7 Numerical linear algebra: LU, QR, SVD; 1.8 Best basis from the SVD; 2. A Framework for Applied Mathematics: 2.1 Equilibrium and the stiffness matrix; 2.2 Oscillation by Newton's law; 2.3 Least squares for rectangular matrices; 2.4 Graph models and Kirchhoff's laws; 2.5 Networks and transfer functions; 2.6 Nonlinear problems; 2.7 Structures in equilibrium; 2.8 Covariances and recursive least squares; 2.9 Graph cuts and gene clustering; 3. Boundary Value Problems: 3.1 Differential equations of equilibrium; 3.2 Cubic splines and fourth order equations; 3.3 Gradient and divergence; 3.4 Laplace's equation; 3.5 Finite differences and fast Poisson solvers; 3.6 The finite element method; 3.7 Elasticity and solid mechanics; 4. Fourier Series and Integrals: 4.1 Fourier series for periodic functions; 4.2 Chebyshev, Legendre, and Bessel; 4.3 The discrete Fourier transform and the FFT; 4.4 Convolution and signal processing; 4.5 Fourier integrals; 4.6 Deconvolution and integral equations; 4.7 Wavelets and signal processing; 5. Analytic Functions: 5.1 Taylor series and complex integration; 5.2 Famous functions and great theorems; 5.3 The Laplace transform and z-transform; 5.4 Spectral methods of exponential accuracy; 6. Initial Value Problems: 6.1 Introduction; 6.2 Finite difference methods for ODEs; 6.3 Accuracy and stability for u_t = c u_x; 6.4 The wave equation and staggered leapfrog; 6.5 Diffusion, convection, and finance; 6.6 Nonlinear flow and conservation laws; 6.7 Fluid mechanics and Navier-Stokes; 6.8 Level sets and fast marching; 7. Solving Large Systems: 7.1 Elimination with reordering; 7.2 Iterative methods; 7.3 Multigrid methods; 7.4 Conjugate gradients and Krylov subspaces; 8. Optimization and Minimum Principles: 8.1 Two fundamental examples; 8.2 Regularized least squares; 8.3 Calculus of variations; 8.4 Errors in projections and eigenvalues; 8.5 The Saddle Point Stokes problem; 8.6 Linear programming and duality; 8.7 Adjoint methods in design.
Target Audience
College Audience
Topic
Engineering (General), Numerical Analysis, General
Lccn
84-052450
Illustrated
Yes
Genre
Computers, Technology & Engineering, Science, Mathematics
Item description from the seller
Seller assumes all responsibility for this listing.
eBay item number:126470611780
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