Interval Matrix Vector Calculator - The iMVC 1.0
ADVIS '02 Proceedings of the Second International Conference on Advances in Information Systems
More Models of Infection: It's Epidemic
Computing in Science and Engineering
Performance analysis and optimization of multi-hop communication systems
Wireless communications systems and networks
Multidimensional Integration: Partition and Conquer
Computing in Science and Engineering
Blind Deconvolution: Errors, Errors Everywhere
Computing in Science and Engineering
3D Recovery with Free Hand Camera Motion
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
Updating and Downdating Matrix Factorizations: A Change in Plans
Computing in Science and Engineering
Nonorthogonal decomposition of binary matrices for bounded-error data compression and analysis
ACM Transactions on Mathematical Software (TOMS)
High order quadratures for the evaluation of interfacial velocities in axi-symmetric Stokes flows
Journal of Computational Physics
Interfaces
Bayesian assimilation of multi-fidelity finite element models
Computers and Structures
International Journal of Reliable and Quality E-Healthcare
Hi-index | 0.01 |
From the Publisher:FEATURES/BENEFITS NEWUpgraded to a MATLAB 5 level. NEWApproximately 60 new problems., NEWNew sections on structure arrays, cell arrays, and how to produce more informative plots (Ch. 1). NEWA brief treatment of trigonometric interpolation (Ch. 2)A follow-up FFT solution to the problem is provided in Ch. 5). NEWA brief discussion of sparse arrays (Ch. 5). Permits a limited study of sparse methods for linear equations and least squares in Chs. 6 and 7. NEWBlock matrix materialNow enriched with the use of cell arrays (Chs. 6-7). NEWOrbit problem solutionsNow make use of simple structures (Ch. 8). Simplifies the presentation. NEWMore detailed coverage of "ode23" (Ch. 9). NEWWebsiteProvides solutions to half the problems. Additional coverage of graphics. Numerical linear algebraPermeates the entire presentation, beginning in Ch. 1. (This is a get-started-with-MATLAB tutorial, but is driven by examples that set the stage for the numerical algorithms that follow.) One important theorem covered per chapter. Motivational examples and related homework problems using MATLAB. Allows users to get a personal feel for algorithm strengths and weaknesses without the distraction of debugging the syntax of a compiled higher level language. An abundance of examples, packaged in 200+ M-filesThe book revolves aroundexamples that are packaged in 200+ M-files, which, collectively, communicate all the key mathematical ideas and an appreciation for the subtleties of numerical computing. Snapshots of advanced computingIn sections that deal with parallel adaptive quadrature and parallel matrix computations. Treatment of recursion includes divided differences, adaptive approximation, quadrature, the fast Fourier transform, Strassen matrix multiplication, and the Cholesky factorization.