Sentence examples for constraints in the framework of from inspiring English sources

Constraints in the framework of reinforcement learning are dealt with by state-action veto policies.

We defend this knowledge as the key to check inter-model constraints in the framework of MBSE methodologies.

This paper presents a semi-analytical procedure for solving linear vibration problems of composite laminated and sandwich hollow bodies of revolution with arbitrary combinations of boundary constraints in the framework of the three-dimensional theory of elasticity.

The important features of the approach include: (1) a new strategy for efficient handling of non-linear constraints in the framework of GAs (2) scanning of the optimization search space by a combination of full Navier Stokes computations with the ROM method (3) multilevel parallelization of the whole computational framework.

This topology optimization technique can handle multiple constraints easily in the framework of level set method and at the same time preserve the signed distance property of the level set functions.

In the case of indicative conditionals the selection function is subject to a pragmatic constraint, set in the framework of the dynamics of conversation.

In this paper, inspired by [10, 21 23], we extend the concept of tight properness from normed linear spaces to locally convex topological vector spaces, and study tightly proper efficiency for vector optimization problem involving nearly cone-subconvexlike set-valued maps and with nonempty interior of constraint cone in the framework of locally convex topological vector spaces.

This paper explores the representation of pragmatic constraints on speech production in the framework of Usage-based Phonology.

We show that the (nonlinear) equality constraint can be handled in the framework of Riemannian manifolds and we develop a feasible (all iterates satisfy the constraints) subgradient descent algorithm to provide fast convergence to local minima.

The " Appendix" documents the mathematical implementation of these constraints within the framework of the energy minimization approach.

The new mission will prompt innovative ways of representing the Earth's magnetic field, either mathematically, or physically by incorporating dynamical constraints in the general framework of data assimilation (e.g. Fournier et al., 2007), but the improved sampling in space and time of SWARM measurements will also greatly enhance the robustness of simpler approaches such as the one presented here.