Charles F. Van Loan – författare
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2 produkter
2 produkter
Häftad, Engelska, 2010
882 kr
Skickas inom 5-8 vardagar
This introduction to computer-based problem-solving using the MATLAB® environment is highly recommended for students wishing to learn the concepts and develop the programming skills that are fundamental to computational science and engineering (CSE). Through a “teaching by examples” approach, the authors pose strategically chosen problems to help first-time programmers learn these necessary concepts and skills.Each section formulates a problem and then introduces those new MATLAB® language features that are necessary to solve it. This approach puts problem-solving and algorithmic thinking first and syntactical details second. Each solution is followed by a “talking point” that concerns some related, larger issue associated with CSE. Collectively, the worked examples, talking points, and 300+ homework problems build intuition for the process of discretization and an appreciation for dimension, inexactitude, visualization, randomness, and complexity. This sets the stage for further coursework in CSE areas. The interplay between programming and mathematics throughout the text reinforces the student’s ability to reason numerically and geometrically.
Del 3 - Johns Hopkins Studies in the Mathematical Sciences
Matrix Computations
Inbunden, Engelska, 2013
849 kr
Skickas
The fourth edition of Gene H. Golub and Charles F. Van Loan's classic is an essential reference for computational scientists and engineers in addition to researchers in the numerical linear algebra community. Anyone whose work requires the solution to a matrix problem and an appreciation of its mathematical properties will find this book to be an indispensible tool. This revision is a cover-to-cover expansion and renovation of the third edition. It now includes an introduction to tensor computations and brand new sections on: fast transforms; parallel LU; discrete Poisson solvers; pseudospectra; structured linear equation problems; structured eigenvalue problems; large-scale SVD methods; and, polynomial eigenvalue problems. Matrix Computations is packed with challenging problems, insightful derivations, and pointers to the literature-everything needed to become a matrix-savvy developer of numerical methods and software.