Building upon the previously established equivalence of the basic scheme of Moulinec Suquet's FFT-based computational homogenization method with a gradient descent method, this work concerns the impact of the fast gradient method of Nesterov in the context of computational homogenization. Nesterov's method leads to a significant speed up compared to the basic scheme for linear problems with moderate contrast, and compares favorably to the (Newton -)conjugate gradient (CG) method for problems in digital rock physics and (small strain) elastoplasticity. We present an efficient implementation requiring twice the storage of the basic scheme, but only half of the storage of the CG method
Abstract. The focus of this paper is on the analysis of the Conjugate Gradient method applied to a n...
International audienceBecause of their simplicity, efficiency and ability for parallelism, FFT-based...
International audienceBecause of their simplicity, efficiency and ability for parallelism, FFT-based...
In recent years the FFT-based homogenization method of Moulinec and Suquet has been established as a...
Building upon the equivalence of the basic scheme in the work of Moulinec and Suquet with gradient d...
This lecture covers different solution methods which build upon the basic scheme of Moulinec & Suque...
This lecture covers different solution methods which build upon the basic scheme of Moulinec & Suque...
This lecture covers different solution methods which build upon the basic scheme of Moulinec & Suque...
This lecture covers different solution methods which build upon the basic scheme of Moulinec & Suque...
The purpose of this presentation is two-fold. For a start, we will discuss treating inelastic proble...
The FFT-based homogenization method of Moulinec-Suquet has recently emerged as a powerful tool for c...
The purpose of this presentation is two-fold. For a start, we will discuss treating inelastic proble...
The purpose of this presentation is two-fold. For a start, we will discuss treating inelastic proble...
The purpose of this presentation is two-fold. For a start, we will discuss treating inelastic proble...
Because of their simplicity, efficiency and ability for parallelism, FFT-based methods are very attr...
Abstract. The focus of this paper is on the analysis of the Conjugate Gradient method applied to a n...
International audienceBecause of their simplicity, efficiency and ability for parallelism, FFT-based...
International audienceBecause of their simplicity, efficiency and ability for parallelism, FFT-based...
In recent years the FFT-based homogenization method of Moulinec and Suquet has been established as a...
Building upon the equivalence of the basic scheme in the work of Moulinec and Suquet with gradient d...
This lecture covers different solution methods which build upon the basic scheme of Moulinec & Suque...
This lecture covers different solution methods which build upon the basic scheme of Moulinec & Suque...
This lecture covers different solution methods which build upon the basic scheme of Moulinec & Suque...
This lecture covers different solution methods which build upon the basic scheme of Moulinec & Suque...
The purpose of this presentation is two-fold. For a start, we will discuss treating inelastic proble...
The FFT-based homogenization method of Moulinec-Suquet has recently emerged as a powerful tool for c...
The purpose of this presentation is two-fold. For a start, we will discuss treating inelastic proble...
The purpose of this presentation is two-fold. For a start, we will discuss treating inelastic proble...
The purpose of this presentation is two-fold. For a start, we will discuss treating inelastic proble...
Because of their simplicity, efficiency and ability for parallelism, FFT-based methods are very attr...
Abstract. The focus of this paper is on the analysis of the Conjugate Gradient method applied to a n...
International audienceBecause of their simplicity, efficiency and ability for parallelism, FFT-based...
International audienceBecause of their simplicity, efficiency and ability for parallelism, FFT-based...