We review applications of Yangain symmetry to high-energy QCD phenomenology. Some basic facts about are recalled, in particular the spinor-helicity form scattering amplitudes, scale evolution equations deep-inelastic structure functions and asymptotics scattering. As working tool Yangian symmetric correlators introduced constructed framework algebra $g\ell(n)$ type. present application tree amp...

Model predicitve control problems for constrained hybrid systems are usually cast as mixed-integer optimization problems (MIP). However, commercial MIP solvers are designed to run on desktop computing platforms and are not suited for embedded applications which are typically restricted by limited computational power and memory. To alleviate these restrictions, we develop a novel low-complexity,...


 We compare four numerical methods for the time discretization of linear coupled elliptic-parabolic systems.
 The monolithic method arising from an implicit Euler is primary solving system.
 Accelerated solution via non-iterative decoupling possible by semi-explicit discretization, using a novel methodology related delay differential equations. For poroelasticity, fixed-stress s...

We propose a modiied approach to the abstract convergence theory of the additive and multiplicative Schwarz iterative methods associated with a subspace splitting for solving symmetric positive deenit linear problems. In particular, we obtain a satisfactory bound for the convergence rate of the appropriately scaled multiplicative Schwarz method directly in terms of the condition number of the c...

We address numerical solvers for a poromechanics model particularly adapted soft materials, as it generally respects thermodynamics principles and energy balance. Considering the multi-physics nature of problem, which involves solid fluid species, interacting on basis mass balance momentum conservation, we decide to adopt solution strategy discrete problem based iterative splitting schemes. As ...

Model predictive control problems for constrained hybrid systems are usually cast as mixed-integer optimization problems (MIP). However, commercial MIP solvers are designed to run on desktop computing platforms and are not suited for embedded applications which are typically restricted by limited computational power and memory. To alleviate these restrictions, we develop a novel low-complexity,...