Thermodynamic equations of state (EOS) are essential for many industries...
Recently, optimal time variable learning in deep neural networks (DNNs) ...
The operation of machine tools often demands a highly accurate knowledge...
We propose a novel discrete concept for the total generalized variation
...
The Cahn–Hilliard equations are a versatile model for describing the
evo...
We consider an optimal control problem for the steady-state Kirchhoff
eq...
In this paper we present a novel approach to solve surface mesh denoisin...
Shape spaces are fundamental in a variety of applications including imag...
This paper studies a new class of integration schemes for the numerical
...
We discuss the control of a human crowd whose dynamics is governed by a
...
Fiber optical strain sensors are used to measure the strain at a particu...
We consider a class of convex optimization problems over the simplex of
...
The preconditioned iterative solution of large-scale saddle-point system...
Second-order partial differential equations in non-divergence form are
c...
An analogue of the total variation prior for the normal vector field alo...
This paper introduces a new duality theory that generalizes the classica...