Sentence examples for many algorithms which from inspiring English sources
However, starting from a common basic set of rules many algorithms which differ slightly from each other have been implemented even in commercial software packages.
and many algorithms which are powerful in low dimensional spaces (D < 10) become difficult to use at higher dimensions (20D, 30D, etc).
While many algorithms which rely on both mobility and social information have been proposed, we propose a novel encounter and colocation predictive model which predicts user's encounter and colocation events and their features by exploiting the spatio-temporal regularity in the history of these events.
Further, the Gottesman-Knill theorem (Nielsen and Chuang, 2000) shows that many algorithms, which suggest parallelism when written in standard notation, can be re-expressed in an alternative notation so as to lend themselves straightforwardly to an efficient classical simulation.
We note that unlike many algorithms which require to fix either a maximum number of iterations to be performed or a threshold on the squared error variation (OMP and OLS for instance), the SBR algorithm does not need any stopping condition since it stops when the cost function J ( x, λ ) does not decrease anymore.
There are many algorithms which predict the functional effect of these variants (Table 3).
They can be used as a basis to improve the performance and accuracy of many existing algorithms which are based on exponentially windowed data, in many fields such as subspace tracking, DOA estimation and source enumeration.
All the work that has been done allowed to develop many interesting algorithms which come in useful when solving engineering problems such as data mining and analysis, anomaly detection and many others.
Then one can solve it by many mature algorithms, which can be documented in [1, 22].
For a suitable choice of the mappings, space, and nonnegative sequences,, Algorithm 4.1 can be degenerated to a number of algorithms involving many known algorithms which are due to classes of variational inequalities and variational inclusions [12 14].
The problem has been reduced to a finite-dimensional parametric optimization, and there exist many effective algorithms which can be applied to solve the NLP.
