Sentence examples for constrained distribution from inspiring English sources

Exact(5)

This paper formulates and discusses a methodology for the optimal siting of distributed generators and reclosers a security and reliability constrained distribution network can accept.

Then, policy makers understood that a vibrant and stable capitalist system required a growing middle class, a tightly regulated financial sector, and a constrained distribution of income.

aUsing the conditional constrained distribution.

One example of such evolutionary constraint is that the earliest embryo of various organisms shows a conserved morphological pattern called the phylotypic period, which is a constrained distribution of phenotype [ 3].

Due to habitat loss from sand mining and other activities, and these butterflies' low vagility and constrained distribution, the population is extremely geographically restricted, and was placed on the US Endangered Species List in 1976 under the Endangered Species Act (ESA) (Federal Register 41 22044, 1976).

Similar(55)

Other properly constrained distributions for R(T) can be handled.

Specifically, some units have tightly constrained distributions, suggesting little capacity for change in production rates relative to observed medians, while other units have wide variation in biomass production rates, indicating the potential for relatively large increases or decreases in production.

The theorem of concentration states that POME yields the best constrained probability distribution and is the preferred method for inferring this distribution, and this distribution best represents our state of knowledge about the behavior of the system.

All the β parameters were considered linear, and initially treated as random with normal distribution with the exception of cost, which was initially treated as random with a constrained triangular distribution.

Computational science and engineering application programs are typically large, complex, and dynamic, and are often constrained by distribution limitations.

In ML model, the random parameters are assumed to follow constrained triangular distribution, where mean equals its spread.

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