Sentence examples for reformulation solution from inspiring English sources
We will of course do everything we can in the next six months to work towards a practicable reformulation solution while continuing to urge the government to adopt a 'whole diet' approach".
After presenting an initial mixed integer linear programming formulation of the model, more scalable reformulation and solution techniques are investigated for solving large, realistic-sized instances.
As most sodium comes from processed foods, focus has turned to food reformulation as a solution to reduce population salt intake [ 27].
An additional reformulation of equilibrium solutions and enthalpy calculations allows overcoming the discontinuity problems.
Indeed the image (f([0,T]) subset L^p({{mathbb R}^{N}})) is weakly compact, hence bounded and so, the claimed Lipschitz continuity results from the detailed reformulation (6) of weak solutions.
The results of these experiments direct us toward a solution or a reformulation of the problem.
In this paper Gradient Flow methods are used to solve systems of differential-algebraic equations via a novel reformulation strategy, focusing on the solution of index-1 differential-algebraic equation systems.
However, to improve the efficacy of PTX in anti-cancer therapy, a potential solution must involve reformulation of the drug into better-tolerated and selectively delivered vehicles.
In order to state the defining relation for the time-discrete solution and its reformulation as time-discrete variational inequality, we find it useful to focus on the model problem and to utilise an approach via abstract evolutionary differential inclusions, as this resembles the approach for evolution equations exploited in [ 15].
The main advantage of a reformulation approach is that optimal solutions can be obtained to seemingly difficult problems, and usually with much less computational complexity, once the special structure has been found and exploited in achieving the reformulation.
With such a reformulation, we are able to apply solution algorithms for purely continuous nonlinear optimization problems to efficiently calculate local minima of GDP or MINLP problems.
