Sentence examples for a fixed function of from inspiring English sources

Rather than being a fixed function of the arithmetic logic unit (ALU), which is common, the '430 hardware multiplier is implemented as a memory-mapped peripheral device.

Each of the coefficients in the Clebsch Gordan expansion is proportional to the product of a spherical harmonic of the vector ˆn specifying the axis of rotation, Yλμ(ˆn), with a fixed function of the rotation angle Φ, a Gegenbauer polynomial Cλ+12J−λ(Cλ+12J−λ

where P j is a fixed function of an orthogonal polynomial system P, z 1, and z 2 being adjacent nodes of P j.

Such a game is governed by complex, tacit, mutually understood rules or norms, principles of generation,that render what's fictional in the game, what players of it are supposed to imagine in playing it, a fixed function of the actual states and behaviors of various things and people they perceive, manipulate, and otherwise interact with as they play it.

with initial condition Θ(0)=a, where P Θ n is the n-step transition function of the Markov chain J k with DFE Θ, and P Θ n H Θ ( j, y ′ ) is the expectation of the function H Θ (G) (defined in (3)) using the conditional measure P Θ n(.|j,y′)(Note G k is a fixed function of J k ).

In this model, the wall viscosity is assumed to be a fixed function of angle around the cell tip, independent of other parameters; it remains to be seen how sensitive the predictions are to this assumption.

Moreover, the variation in the trade-off across multiple wild populations indicates that the trade-off is not a fixed function and highlights the dynamic nature of life-history trade-off evolution in general.

The device costs about $1,500, which may seem expensive for a fixed-function type of computing device.

However, the analogue of the theorem fails if it is only assumed that a fixed fraction of regulatory functions shows a specified minimal amount of bias, even when the number of inputs (but not outputs) of each regulatory function is bounded.

While modularity, he argues, may be characteristic of the thalamus — an assemblage of nuclei with fixed functions, fixed inputs and outputs — a gradiential organization is more characteristic of the cerebral cortex, and becomes more and more prominent as one ascends from primary sensory cortex to association cortex and, finally, to the highest level of all: the frontal cortex.

We demonstrate that stochastic global optimization algorithms of the first order, i.e., with local minimization after each iteration (e.g., Monte Carlo-Minimization), have a greater chance of finding the global minimum after a fixed number of function evaluations.