M. Chandru
Numerical Analysis · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Numerical Analysis — 12 citations into it; #3,273 of 3,586 by trust here, #2,107 by citations
- Computational Theory and Mathematics — 8 citations into it; #11,002 of 12,182 by trust here, #8,294 by citations
- Computational Mechanics — 6 citations into it; #9,181 of 10,001 by trust here, #8,566 by citations
Whom M. Chandru trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts M. Chandru overall
Papers from M. Chandru's perspective
Ordered by how strongly the researchers M. Chandru trusts endorse each paper. Same corpus, a different order for every researcher.
- Numerical solution of singularly perturbed convection-diffusion-reaction problems with two small parameters (BIT Numerical Mathematics)
- A numerical method for a system of singularly perturbed reaction-diffusion equations
- A uniformly convergent scheme on a nonuniform mesh for convection-diffusion parabolic problems
- A uniformly convergent numerical method for a coupled system of two singularly perturbed linear reaction–diffusion problems
- Singular perturbations and time scales in control theory and applications: An overview
- Stability and error of the variable two-step BDF for semilinear parabolic problems
- Singularly Perturbed Problems Modeling Reaction-convection-diffusion Processes
- Singular Perturbations and Time Scales in Guidance and Control of Aerospace Systems: A Survey
- An efficient numerical method for singular perturbation problems
- Beyond Perturbation: Introduction to the Homotopy Analysis Method
Their papers
- A Numerical Method for Solving Boundary and Interior Layers Dominated Parabolic Problems with Discontinuous Convection Coefficient and Source Terms (2019) — 99 citations
- Numerical treatment of two‐parameter singularly perturbed parabolic convection diffusion problems with non‐smooth data (2018) — 124 citations