We aim at developing methods to track minimal energy solutions of time-independent m-component coupled discrete nonlinear Schrödinger (DNLS) equations.
A ground state solution is a solution which possesses the minimal energy of all solutions.
The first algorithm is a periodic on-off scheme based on the idea of allowing an MS to sleep for a fixed interval and, subsequently, to listen for another fixed interval in a round-robin manner to determine feasible solutions for minimal energy consumption under the delay constraint.
After that, the individuals are sorted by the energy values from minimum to maximum and at the same time, the minimal solution and the minimal energy are saved as hmin and Emin respectively.
From Figs. 5 and 6 and Table 3, it can be seen that there is no solution simultaneously satisfying minimal investment, minimal energy dumped and minimal purchased energy cost.
Assuming that the minimal energy dissipation is crucial for the system, the solution leading to dissipation of 9719.45 μJ (in the next mode) should be chosen.
Chemical looping combustion offers a solution to achieve carbon capture with minimal energy penalty and significantly reduced NOx formation.
Due to its self-assembled nature and use of small masses of material, coatings can be produced using aqueous solutions under mild conditions of temperature, pH, and pressure, with minimal energy requirements and material waste.
Because solutions for stable (or metastable) spacetimes typically represent points of minimal energy, this scenario has become known as the landscape scenario, where universes find themselves in the "valleys" of this landscape (Fig. 2).
Although module extraction is exerted on an algorithm for searching the minimal energy state of a given function, it is possible to find several different solutions with each frequency, because a spin glass frequently includes several energy states near the smallest level.
