Since their inception, computational homogenization methods based on the fast Fourier
transform (FFT) have grown in popularity, establishing themselves as a powerful tool …

Federated learning (FL) is a promising technique for resolving the rising privacy and security
concerns. Its main ingredient is to cooperatively learn the model among the distributed …

The iterative closest point (ICP) algorithm and its variants are a fundamental technique for
rigid registration between two point sets, with wide applications in different areas from …

CP2K is an open source electronic structure and molecular dynamics software package to
perform atomistic simulations of solid-state, liquid, molecular, and biological systems. It is …

This monograph covers some recent advances in a range of acceleration techniques
frequently used in convex optimization. We first use quadratic optimization problems to …

Compact and efficient Matlab implementations of compliance topology optimization (TO) for
2D and 3D continua are given, consisting of 99 and 125 lines respectively. On …

In the emerging field of multi-physics simulations, we often face the challenge to establish
new connections between physical fields, to add additional aspects to existing models, or to …

This paper concerns an acceleration method for fixed-point iterations that originated in work
of DG Anderson [J. Assoc. Comput. Mach., 12 (1965), pp. 547–560], which we accordingly …

Fine-grained capture of 3D Human-Object Interactions (HOIs) boosts human activity
understanding and facilitates various downstream visual tasks. Prior models mostly assume …

We consider the application of the type-I Anderson acceleration to solving general
nonsmooth fixed-point problems. By interleaving with safeguarding steps and employing a …