John, 2000 - Google Patents
A numerical study of a posteriori error estimators for convection–diffusion equationsJohn, 2000
View PDF- Document ID
- 17312224388362525122
- Author
- John V
- Publication year
- Publication venue
- Computer methods in applied mechanics and engineering
External Links
Snippet
This paper presents a numerical study of a posteriori error estimators for convection– diffusion equations. The study involves the gradient indicator, an a posteriori error estimator which is based on gradient recovery, three residual-based error estimators for different …
- 238000009792 diffusion process 0 title abstract description 29
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/70—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds
- G06F19/708—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds for data visualisation, e.g. molecular structure representations, graphics generation, display of maps or networks or other visual representations
Similar Documents
Publication | Publication Date | Title |
---|---|---|
John | A numerical study of a posteriori error estimators for convection–diffusion equations | |
John et al. | On spurious oscillations at layers diminishing (SOLD) methods for convection–diffusion equations: Part II–Analysis for P1 and Q1 finite elements | |
John et al. | Finite element methods for time-dependent convection–diffusion–reaction equations with small diffusion | |
Dolejšı et al. | A semi-implicit discontinuous Galerkin finite element method for the numerical solution of inviscid compressible flow | |
Chatzipantelidis | Finite volume methods for elliptic PDE's: a new approach | |
Dörfler et al. | An adaptive strategy for elliptic problems including a posteriori controlled boundary approximation | |
Lemaire | Bridging the hybrid high-order and virtual element methods | |
Vigo-Aguiar et al. | A family of A-stable Runge–Kutta collocation methods of higher order for initial-value problems | |
Hansbo et al. | A discontinuous Galerkin method¶ for the plate equation | |
Hu | An adaptive finite volume method for 2D steady Euler equations with WENO reconstruction | |
Ainsworth et al. | On the adaptive selection of the parameter in stabilized finite element approximations | |
Georgoulis et al. | Discontinuous Galerkin methods on hp-anisotropic meshes II: A posteriori error analysis and adaptivity | |
Cai et al. | Residual-based a posteriori error estimate for interface problems: nonconforming linear elements | |
Zhu et al. | Fluid approximation of closed queueing networks with discriminatory processor sharing | |
US7302653B2 (en) | Probability of fault function determination using critical defect size map | |
Boiger et al. | An online parameter identification method for time dependent partial differential equations | |
Rizzo et al. | Generalized likelihood ratio control charts for high‐purity (high‐quality) processes | |
Freue | The Pitman estimator of the Cauchy location parameter | |
US7310788B2 (en) | Sample probability of fault function determination using critical defect size map | |
Neelan et al. | An efficient three-level weighted essentially non-oscillatory scheme for hyperbolic equations | |
Junk et al. | Asymptotic analysis of finite difference methods | |
Liu et al. | Explicit estimation of error constants appearing in non-conforming linear triangular finite element method | |
Braack et al. | A posteriori control of modelling and discretization errors for quasi periodic solutions | |
Prendergast | Detecting influential observations in Sliced Inverse Regression analysis | |
Becker et al. | Connections between discontinuous Galerkin and nonconforming finite element methods for the Stokes equations |