Sentence examples for constraining function from inspiring English sources

With the constraining function of the collimator, the dose profile at the isocenter would maintain a round shape despite of an initial asymmetric phase space in extraction of synchrotron.

An increased gap height would be the logical consequence of a collateral ligament release, since the loosening of this structure would reduce the constraining function of the collateral ligament.

Brightman (2007) discussed the importance of this principle in the Cree stories of Wiisahkiicaah who taught the people about the 'wages of gluttony.' In Mi'kmaq culture, the principle of netukulimk serves the same kind of constraining function when harvesters find themselves in a rich environment that could provide more than their needs (Barsh and Youngblood Henderson 2003).

Based on Theorem 7 in[17], the power constrained function f l 0 S max is also standard.

In this paper, a new algorithm-approximate penalty function method is designed, which can be used to solve a bilevel optimization problem with linear constrained function.

Thus, any analysis aiming to understand the organization of protein functions in sequence space must not tie itself too closely to protein structure, while respecting that structure constrains function.

Therefore, while the basic function (defined by the catalytic step) of every enzyme in a multigene family is constrained, function of the enzyme complex (defined by enzyme conformation and interaction with other enzymes during catalysis) may evolve after a duplication event.

He dealt mainly with some properties of an E-convex set and an E-convex function, a programming problem without E in both objective functions or constrained functions, and the relation between solutions of objective and constrained functions with and without E.

Two mathematical constrained functions taken from the literature are studied to verify the performance of the algorithm.

using the form (4). Instead of having the constraint inside a maximization operator, we have only a linear combination of the utility analog and the constrained functions.

The decoupled optimization problem is solved by defining a series of approximate explicit sub-problems in terms of the second order response statistics of the constrained functions.