8 Ergebnisse.

Keine Beschreibung.

In the context of partial differential equations, this volume reviews algorithm development specifically aimed at computers that exhibit parallelism.

Addresses some of the basic questions in numerical analysis: convergence theorems for iterative methods for both linear and nonlinear equations, discretization error, especially for ordinary differential equations, rounding error analysis, sensitivity of eigenvalues, and solutions of linear equations with respect to changes in the data.

Keine Beschreibung.

vorwiegend zum Nachschlagen verwendet werden, wenn die entsprechenden Sachverhalte spater im Buch verwendet werden.

Although the origins of parallel computing go back to the last century, it was only in the 1970s that parallel and vector computers became available to the scientific community. The first of these machines-the 64 processor llliac IV and the vector computers built by Texas Instruments, Control Data Corporation, and then CRA Y Research Corporation-had a somewhat limited impact. They were few in number and available mostly to workers in a few gov...

Linear algebra and matrix theory are essentially synonymous terms for an area of mathematics that has become one of the most useful and pervasive tools in a wide range of disciplines. It is also a subject of great mathematical beauty. In consequence of both of these facts, linear algebra has increasingly been brought into lower levels of the curriculum, either in conjunction with the calculus or separate from it but at the same level. A large ...

Although the origins of parallel computing go back to the last century, it was only in the 1970s that parallel and vector computers became available to the scientific community. The first of these machines-the 64 processor llliac IV and the vector computers built by Texas Instruments, Control Data Corporation, and then CRA Y Research Corporation-had a somewhat limited impact. They were few in number and available mostly to workers in a few gov...