Michael a heroux (15 résultats)

Paperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Etat : good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Soft cover. Etat : Very Good +. No Jacket. Very Good + copy. (see picture) 397 pages including index.Very minor marks on the front,bottom.Pages all clean,tight and bright.

Etat : good. This book is in Good condition. There may be some notes and highligting but otherwise the book is in overall good condition.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

Paperback. Etat : Brand New. new title edition. 397 pages. 9.75x6.75x0.75 inches. In Stock.

Etat : New.

Etat : New. 2007. paperback. . . . . .

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : New. New copy - Usually dispatched within 4 working days.

Etat : New. 2007. paperback. . . . . . Books ship from the US and Ireland.

Kartoniert / Broschiert. Etat : New. &Uumlber den AutorMichael A. Heroux is the Solvers Project Leader at Sandia National Laboratory his work focuses on new algorithm development and robust parallel implementation of solver components. He leads development of the Trilinos.

Taschenbuch. Etat : Neu. Neuware - Scientific computing has often been called the third approach to scientific discovery, emerging as a peer to experimentation and theory. Historically, the synergy between experimentation and theory has been well understood: experiments give insight into possible theories, theories inspire experiments, experiments reinforce or invalidate theories, and so on. As scientific computing has evolved to produce results that meet or exceed the quality of experimental and theoretical results, it has become indispensable.Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering.…