Sentence examples for conditions of optimization from inspiring English sources

This understanding can help to predict the conditions of optimization of poly(butyl-2-cyanoacrylate) nanoparticles formation and to improve paeonol bioavailability and pharmacological properties.

It maintains a much more constant and consistent selective pressure in different conditions of optimization problem and GA algorithm design, and may help GA designers in balancing exploration and exploitation during evolution procedures.

And in [7], Bhrawy et al. used the Rayleigh-Ritz method for the necessary conditions of optimization and the operational matrix of fractional derivatives together with the help of the properties of the shifted Legendre orthonormal polynomials to reduce the fractional optimal control problem to solving a system of algebraic equations that greatly simplifies the problem.

As optimization relies on the sequential investigation of each reaction variable, the process can take a long time, thus the conditions of optimization are rarely identified empirically and individual components are rarely all tested simultaneously.

In some particular cases, when the space X, the distance d, and the functional F have some extra structures, it is possible to pass to the limit the optimality conditions of each optimization problem in the discretized scheme, and characterize the limit curves (or the limit curve) x t).

Also, model would be used in evaluation of various operation conditions for optimization of technical indicators of carbon dioxide absorption process (e.g. minimizing the heating and cooling requirements for carbon dioxide capture, design the control system of the process).

Figure 6 shows the case of the generalized Gaussian mixed density function optimization based on the following three objectives with a balanced comprehensive optimization that indicates algorithm using the optimal weights μ can keep the characteristic distribution density function under conditions of integrated optimization.

The adaptive ADCs employ simple internal digital processing units (DPUs) to compute the output codes, which creates the conditions for optimization of the conversion algorithm and improvement of their effective number of bits (ENOB) beyond ENOB of their conventional counterparts.

The expressions for the Kuhn-Tucker conditions of the optimization problem can be reduced to two subproblems.

In addition, any neural state of the proposed neural network is convergent to its equilibrium point set which satisfies the Karush Kuhn Tucker conditions of the optimization problem.

In this latter case, it can be shown that a suitable set of Lagrangian multipliers can be found so that the converged point satisfies the KKT conditions of the optimization problem.