Optimum positive linear schemes for advection in two and three dimensions
SIAM Journal on Numerical Analysis
Computing singular solutions to polynomial systems
Advances in Applied Mathematics
Weighted essentially non-oscillatory schemes
Journal of Computational Physics
Efficient implementation of weighted ENO schemes
Journal of Computational Physics
Algorithm 777: HOMPACK90: a suite of Fortran 90 codes for globally convergent homotopy algorithms
ACM Transactions on Mathematical Software (TOMS)
Weighted essentially non-oscillatory schemes on triangular meshes
Journal of Computational Physics
Algorithm 795: PHCpack: a general-purpose solver for polynomial systems by homotopy continuation
ACM Transactions on Mathematical Software (TOMS)
High Order Fluctuation Schemes on Triangular Meshes
Journal of Scientific Computing
Journal of Computational Physics
Journal of Computational Physics
High Order Fast Sweeping Methods for Static Hamilton---Jacobi Equations
Journal of Scientific Computing
Journal of Scientific Computing
Adaptive Multiprecision Path Tracking
SIAM Journal on Numerical Analysis
Multiple steady states for characteristic initial value problems
Applied Numerical Mathematics
Journal of Computational Physics
Journal of Scientific Computing
Continuation Along Bifurcation Branches for a Tumor Model with a Necrotic Core
Journal of Scientific Computing
Lax-Friedrichs fast sweeping methods for steady state problems for hyperbolic conservation laws
Journal of Computational Physics
A bootstrapping approach for computing multiple solutions of differential equations
Journal of Computational and Applied Mathematics
Hi-index | 31.45 |
Homotopy continuation is an efficient tool for solving polynomial systems. Its efficiency relies on utilizing adaptive stepsize and adaptive precision path tracking, and endgames. In this article, we apply homotopy continuation to solve steady state problems of hyperbolic conservation laws. A third-order accurate finite difference weighted essentially non-oscillatory (WENO) scheme with Lax-Friedrichs flux splitting is utilized to derive the difference equation. This new approach is free of the CFL condition constraint. Extensive numerical examples in both scalar and system test problems in one and two dimensions demonstrate the efficiency and robustness of the new method.