Strong stability preserving (SSP) high order time discretizations were developed to ensure
nonlinear stability properties necessary in the numerical solution of hyperbolic partial …

Strong Stability Preserving Explicit Runge—Kutta Methods | Strong Stability Preserving
Runge-Kutta and Multistep Time Discretizations World Scientific Search This Book Anywhere …

Strong stability-preserving (SSP) Runge–Kutta methods were developed for time integration
of semidiscretizations of partial differential equations. SSP methods preserve stability …

A novel, highly accurate numerical scheme based on shock-fitting coupled with fifth order
spatial and temporal discretizations is applied to a classical unsteady detonation problem to …

The objective of the present work is to develop efficient, higher-order space-and time-
accurate, methods for structural dynamics. To this end, we present a family of explicit …

Strong stability preserving (SSP) time discretizations were developed for use with spatial
discretizations of partial differential equations that are strongly stable under forward Euler …

We construct a family of embedded pairs for optimal explicit strong stability preserving
Runge–Kutta methods of order 2≤ p≤ 4 to be used to obtain numerical solution of spatially …

We develop the NILSAS algorithm, which performs adjoint sensitivity analysis of chaotic
systems via computing the adjoint shadowing direction. NILSAS constrains its minimization …

A highly accurate numerical shock and material interface fitting scheme composed of fifth-
order spatial and third-or fifth-order temporal discretizations is applied to the two …

High-fidelity simulations, eg, large eddy simulation (LES), are often needed for accurately
predicting pressure losses due to wake mixing and boundary layer development in …