Exact(2)
We compare two approaches to predicting TCP throughput and show that formula-based prediction suffers inaccuracy under certain scenarios due to the simple assumptions made about inter-loss time, as most fluid models do, but otherwise achieves a good approximation faster than direct measurement prediction.
If two or three throw food together, you will get a better approximation faster because you will be able to get more throws in a shorter amount of time.
Similar(58)
It exhibits advantage of stronger approximation property, faster convergence rate, greater storage capacity and higher fault tolerance than low-order neural networks.
The rate of convergence of our approximation is faster than the corresponding one in [13].
High-order neural networks have been the object of intensive analysis by numerous authors since high-order neural networks have stronger approximation property, faster convergence rate, greater storage capacity, and higher fault tolerance than lower-order neural networks [4 8].
To a first approximation, the faster a TTR molecule exchanges subunits with FT2·TTR, the less stable it is.
A linear approximation based fast prediction algorithm for the Earth Moon transfer trajectory is proposed.
It's not surprising that mere approximations are faster to solve, however it's not exactly a fair test since the solution isn't complete.
Application is illustrated for system reliability analysis; disaggregations of failure according to human error, random error or "act of God"; estimation of errors in the normal tail approximation; and fast probability integration of piecewise normal distributions.
Our idea is to make use of the block ϵ-circulant approximation via fast Fourier transforms, so that the resulting task is to solve a block diagonal system, where each diagonal block matrix is the sum of a complex scalar times the identity matrix and a Laplacian matrix.
This approximation is fast in comparison with the recently discovered asymptotic series.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com