Computer simulation of fluid flows requires numerical solution of
Partial Differential Equations (PDEs) which involves discretization
methods such as Finite Volume Method (FVM). These methods produce a
large system of linear equations which are difficult to solve.
Iterative (Krylov Subspace) solvers are one of the best ways to
deal with such large systems. These systems need huge amount of
memory as well as they are computationally expensive. Modern
supercomputers facilitate to run the simulations on multiprocessors
by writing efficient parallel algorithms for iterative solvers.
This book provides good background of Krylov Subspace solvers and
computational methods for multiphase fluid flows. Furthermore,
detailed discussions on developing parallel algorithms for these
solvers have been provided using the special data structures
facilitating inter-processor communications. It is a very useful
book for advanced undergraduate and graduate students, who want to
gain knowledge about parallel numerical algorithms applicable to
Computation Fluid Dynamics (CFD) problems.
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