In this article, we present a general closed form formula for computing lower order local smoothness indicators used in forming nonlinear WENO weights of arbitrary orders 2r − 1. The closed form formula of the smoothness indicators is given in a convenient matrix form. The smoothness indicators can be derived for any order of the WENO scheme through a recursive formula. A Maple code used in deriving the necessary coefficients of the lower order polynomials are also presented so that users can regenerate the necessary coefficients on their own
To improve the resolution and accuracy of the high-order weighted compact nonlinear scheme (WCNS), a...
Embedded WENO methods utilise all adjacent smooth substencils to construct a desirable interpolation...
First this paper analyzes the reason for the accuracy losing of the third-order weighted essentially...
The local smoothness indicators play an important role in the performance of a weighted essentially ...
The calculation of the weight of each substencil is very important for a weighted essentially nonosc...
WENO schemes are a popular class of shock-capturing schemes which adopt an adaptive-stencil approach...
International audienceThis paper is devoted to the construction and analysis of a new prediction ope...
In this work, a new smoothness indicator that measures the local smoothness of a function in a stenc...
In ([10], JCP 227 No. 6, 2008, pp. 3101–3211), the authors have designed a new fifth order WENO fini...
In this article, we analyze the ¯fth-order weighted essentially non-oscillatory(WENO-5) scheme and s...
Classical fifth-order weighted essentially non-oscillatory (WENO) schemes are based on reconstructio...
Embedded WENO schemes are a new family of weighted essentially nonoscillatory schemes that always ut...
AbstractA new method for constructing weighted essentially non-oscillatory (WENO) scheme is proposed...
Central WENO reconstruction procedures have shown very good performance in finite volume and finite ...
Embedded WENO methods utilise all adjacent smooth substencils to construct a desirable interpolation...
To improve the resolution and accuracy of the high-order weighted compact nonlinear scheme (WCNS), a...
Embedded WENO methods utilise all adjacent smooth substencils to construct a desirable interpolation...
First this paper analyzes the reason for the accuracy losing of the third-order weighted essentially...
The local smoothness indicators play an important role in the performance of a weighted essentially ...
The calculation of the weight of each substencil is very important for a weighted essentially nonosc...
WENO schemes are a popular class of shock-capturing schemes which adopt an adaptive-stencil approach...
International audienceThis paper is devoted to the construction and analysis of a new prediction ope...
In this work, a new smoothness indicator that measures the local smoothness of a function in a stenc...
In ([10], JCP 227 No. 6, 2008, pp. 3101–3211), the authors have designed a new fifth order WENO fini...
In this article, we analyze the ¯fth-order weighted essentially non-oscillatory(WENO-5) scheme and s...
Classical fifth-order weighted essentially non-oscillatory (WENO) schemes are based on reconstructio...
Embedded WENO schemes are a new family of weighted essentially nonoscillatory schemes that always ut...
AbstractA new method for constructing weighted essentially non-oscillatory (WENO) scheme is proposed...
Central WENO reconstruction procedures have shown very good performance in finite volume and finite ...
Embedded WENO methods utilise all adjacent smooth substencils to construct a desirable interpolation...
To improve the resolution and accuracy of the high-order weighted compact nonlinear scheme (WCNS), a...
Embedded WENO methods utilise all adjacent smooth substencils to construct a desirable interpolation...
First this paper analyzes the reason for the accuracy losing of the third-order weighted essentially...