Convergence analysis and error estimates for a parallel algorithm for solving the Navier-Stokes equations.
Isidoro AlbarrealM. Carmen CalzadaJosé Luis CruzEnrique Fernández-CaraJosé R. GaloMercedes MarínPublished in: Numerische Mathematik (2002)
Keyphrases
- parallel algorithm
- convergence analysis
- error estimates
- navier stokes equations
- parallel computation
- global convergence
- optimality conditions
- error estimation
- cross validation
- cluster of workstations
- nonlinear programming
- boundary conditions
- data sets
- provably correct
- convergence rate
- high level
- evolutionary algorithm
- parallel version
- active learning
- error analysis
- combinatorial optimization
- multi objective