Sentence examples for crucial quantity from inspiring English sources

However, variance is also a crucial quantity in probability and statistics theory.

Prior to the fact we can only quantify the relative likelihoods of selection and drift they vary according to the crucial quantity 4Ns.

For a bandlimited graph signal, the graph cut-off frequency is a crucial quantity during the reconstruction and is known as a priori knowledge.

A general equation for a variance parameter, appearing as a crucial quantity in a simple algebraic expression for the mean chemical rate, is derived.

Since the main methodology of current reconstruction is iteratively projecting on the downsampling subspace and low-pass filtering subspace, the graph cut-off frequency is a crucial quantity.

In the context of CCSN simulations this means that the large scale kinetic energy, a crucial quantity for the dynamics of the explosion (Couch and Ott 2015), can be faithfully captured even with simulations achieving modest Reynolds numbers.

A 1D two-phase non-homogeneous Eulerian Eulerian model has been developed for checking the influence of some crucial quantities: interphase drag, particle wall friction and particle shape factor.

All along, Ryan continued to praise Milliner's future, and in South Florida Milliner became the full fedora, intercepting two passes while inflecting the afternoon with frequent waggles of his finger, abundant woofing, and other expressions of that crucial secondary quantity known as "swag".

The TMR is a crucial physical quantity measuring the change in system's transport properties when the angle φ between magnetic moments of the leads rotate from 0 (parallel alignment) to arbitrary value (or to φ in collinear magnetic moments case).

The results from this study identify crucial biomechanical quantities that athletes can easily modify to reduce ACL loading and therefore should be targeted in any physical activity training programs designed to reduce non-contact ACL injuries.

Much of the sector has yet to address the crucial issue of quantity versus quality when it comes to research.