In this work, a new smoothness indicator that measures the local smoothness of a function in a stencil is introduced. The new local smoothness indicator is defined based on the Lagrangian interpolation polynomial and has a more succinct form compared with the classical one proposed by Jiang and Shu [12]. Furthermore, several global smoothness indicators with truncation errors of up to 8th-order are devised. With the new local and global smoothness indicators, the corresponding weighted essentially non-oscillatory (WENO) scheme can present the fifth order convergence in smooth regions, especially at critical points where the first and second derivatives vanish (but the third derivatives are not zero). Also the use of higher order global smoo...
In this thesis, a local smoothing method, termed the not-so-smoother, designed to estimate disconti...
In ([10], JCP 227 No. 6, 2008, pp. 3101–3211), the authors have designed a new fifth order WENO fini...
This thesis presents an algorithm which is able to locate isolated bad points and correct them witho...
The local smoothness indicators play an important role in the performance of a weighted essentially ...
In [8], the authors have designed a new fifth-order WENO finite-difference scheme (named WENO-eta) b...
WENO schemes are a popular class of shock-capturing schemes which adopt an adaptive-stencil approach...
The calculation of the weight of each substencil is very important for a weighted essentially nonosc...
International audienceThis paper is devoted to the construction and analysis of a new prediction ope...
In this article, we present a general closed form formula for computing lower order local smoothness...
In this article, we analyze the fifth-order weighted essentially non-oscillatory (WENO-5) scheme and...
First this paper analyzes the reason for the accuracy losing of the third-order weighted essentially...
To improve the resolution and accuracy of the high-order weighted compact nonlinear scheme (WCNS), a...
The smoothness criterion is used in the design of symmetric moving average trend filters in time ser...
Abstract. It is natural to expect the following loosely stated approximation principle to hold: a nu...
SUMMARY. Local polynomial smoothers recently received much attention in the lit-erature, owing to th...
In this thesis, a local smoothing method, termed the not-so-smoother, designed to estimate disconti...
In ([10], JCP 227 No. 6, 2008, pp. 3101–3211), the authors have designed a new fifth order WENO fini...
This thesis presents an algorithm which is able to locate isolated bad points and correct them witho...
The local smoothness indicators play an important role in the performance of a weighted essentially ...
In [8], the authors have designed a new fifth-order WENO finite-difference scheme (named WENO-eta) b...
WENO schemes are a popular class of shock-capturing schemes which adopt an adaptive-stencil approach...
The calculation of the weight of each substencil is very important for a weighted essentially nonosc...
International audienceThis paper is devoted to the construction and analysis of a new prediction ope...
In this article, we present a general closed form formula for computing lower order local smoothness...
In this article, we analyze the fifth-order weighted essentially non-oscillatory (WENO-5) scheme and...
First this paper analyzes the reason for the accuracy losing of the third-order weighted essentially...
To improve the resolution and accuracy of the high-order weighted compact nonlinear scheme (WCNS), a...
The smoothness criterion is used in the design of symmetric moving average trend filters in time ser...
Abstract. It is natural to expect the following loosely stated approximation principle to hold: a nu...
SUMMARY. Local polynomial smoothers recently received much attention in the lit-erature, owing to th...
In this thesis, a local smoothing method, termed the not-so-smoother, designed to estimate disconti...
In ([10], JCP 227 No. 6, 2008, pp. 3101–3211), the authors have designed a new fifth order WENO fini...
This thesis presents an algorithm which is able to locate isolated bad points and correct them witho...