This paper introduces a novel paradigm for constructing linearly implici...
The energy dissipation law and maximum bound principle are significant
c...
In this work, two novel classes of structure-preserving spectral Galerki...
In this paper, we develop a novel class of linear energy-preserving
inte...
In this paper, we present a novel strategy to systematically construct
l...
An explicit numerical strategy that practically preserves invariants is
...
In this paper, a family of arbitrarily high-order structure-preserving
e...
We develop two novel classes of energy-preserving algorithms for the
sin...
In this paper, we design a novel class of arbitrarily high-order
structu...
A novel class of explicit high-order energy-preserving methods are propo...
The focus of this paper is to recommend a novel symplectic scheme for
ca...
This paper aims to construct structure-preserving numerical schemes for
...
The main objective of this paper is to present an efficient
structure-pr...
This paper aims to develop a linearly implicit structure-preserving nume...
In this paper, we consider the error analysis of a conservative Fourier
...
In this paper, we generalize the exponential energy-preserving integrato...
In this paper, we present a linearly implicit energy-preserving scheme f...
In this paper, we develop a novel class of arbitrarily high-order
energy...
The convolutional neural network (CNN) has become a state-of-the-art met...