most citedOn the efficient computation of smoothness indicators for a class of WENO reconstructions

32 citations · 118 across the 8 of their papers we have counts for

collaborators

8 papers

math.NA2024

A non-separable progressive multivariate WENO- point value

Pep Mulet, Juan Ruiz-Alvarez, Chi-Wang Shu +1

The weighted essentially non-oscillatory {technique} using a stencil of points (WENO-) is an interpolatory method that consists in obtaining a higher approximation order f…

math.NA2024

Implicit-explicit schemes for compressible Cahn-Hilliard-Navier-Stokes equations

Pep Mulet

The isentropic compressible Cahn-Hilliard-Navier-Stokes equations is a system of fourth-order partial differential equations that model the evolution of some binary fluids under co…

math.NA202430 cited

An efficient third-order WENO scheme with unconditionally optimal accuracy

Antonio Baeza, Raimund Bürger, Pep Mulet +1

A novel scheme, based on third-order Weighted Essentially Non-Oscillatory (WENO) reconstructions, is presented. It attains unconditionally optimal accuracy when the data is smooth…

math.NA202423 cited

WENO reconstructions of unconditionally optimal high order

Antonio Baeza, Raimund Bürger, Pep Mulet +1

A modified Weighted Essentially Non-Oscillatory (WENO) reconstruction technique preventing accuracy loss near critical points (regardless of their order) of the underlying data is…

math.NA202432 cited

On the efficient computation of smoothness indicators for a class of WENO reconstructions

Antonio Baeza, Raimund Bürger, Pep Mulet +1

Common smoothness indicators used in Weighted Essentially Non\--Os\-cil\-la\-to\-ry (WENO) reconstructions [Jiang, G.S., Shu, C.W.: Efficient implementation of {Weighted} {ENO} sch…

math.NA202422 cited

Central WENO schemes through a global average weight

Antonio Baeza, Raimund Bürger, Pep Mulet +1

A novel central weighted essentially non-oscillatory (central WENO; CWENO)-type scheme for the construction of high-resolution approximations to discontinuous solutions to hyperbol…