David J. Gardner

Numerical Analysis · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Numerical Analysis — 7 citations into it
• Computational Theory and Mathematics — 6 citations into it

Whom David J. Gardner trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Christopher A. Kennedy
2. John E. Dennis Jr.
3. Mark H. Carpenter
4. Homer F. Walker
5. Yang Cao
6. Bobby Schnabel
7. Peng Ni
8. Werner C. Rheinboldt
9. Shengtai Li

Who trusts David J. Gardner overall

1. Christopher Rackauckas

Papers from David J. Gardner's perspective

Ordered by how strongly the researchers David J. Gardner trusts endorse each paper. Same corpus, a different order for every researcher.

1. Numerical methods for unconstrained optimization and nonlinear equations
2. INEXACT NEWTON METHODS
3. Numerical solution of initial value problems in differential - algebraic equations
4. SUNDIALS: Suite of nonlinear and differential/algebraic equation solvers
5. Additive Runge-Kutta Schemes for Convection-Diffusion-Reaction Equations
6. Towards dense linear algebra for hybrid GPU accelerated manycore systems (Parallel Computing)
7. DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia (Journal of Open Research Software)
8. Adjoint Sensitivity Analysis for Differential-Algebraic Equations: The Adjoint DAE System and Its Numerical Solution (SIAM Journal on Scientific Computing)
9. Higher-order additive Runge–Kutta schemes for ordinary differential equations (Applied Numerical Mathematics)
10. Iterative Solution of Nonlinear Equations in Several Variables

Their papers

• Enabling New Flexibility in the SUNDIALS Suite of Nonlinear and Differential/Algebraic Equation Solvers (2020) — 1,211 citations