Sentence examples for iterations left from inspiring English sources

Figure 8 Results of segmentation experiments using different values of inter-node spacing, number of necessary iterations (left) and execution times in seconds (right).

Figure 23 Computational complexity of Algorithm 2. The average number of iterations (left), the average sum power (middle) in the function of Δ, and the average number of iterations in the function of SINRmin right) are shown in Algorithm 2 when the minimum SINR (SINRmin) is set to 1 dB and Csum=19.18b/s/Hz in Scenario 3 (7-cell system) using cellular mode.

K-means for cluster sizes from 2 8 was run for 10,000 iterations, leaving out 15% of the data with each iteration (i.e. three randomly chosen samples left out).

K-means clustering of quantified protein levels for 20 GBM samples was performed in R, and stability of cluster assignment assessed over 10,000 iterations leaving out 15% of tumors with each iteration (kmeans, stats package, www.cran.org).org

Fig. 3 Contrast vs background variability with increasing number of iterations (2 8, left to right) and with different reconstruction settings for the Biograph mCT and mMR system; 10-mm hot sphere, 1 8 ratio (a), 37-mm cold sphere, 1 8 ratio (b), 10-mm hot sphere, 1 4 ratio (c) and 37-mm cold sphere, 1 4 ratio (d).

Tan and Xu [6], in 1994, studied the modified Ishikawa iteration process which is a generalization of the Ishikawa iteration process, left { begin{array}l} x_{1}in K, x_{n+1}= 1-alpha_{n})x_{n+1}= 1-alpha_{n}y_{n}, y_{n}=(1-beta_{n})x_{n}+alpha_{n}^{n}x_{n},quad ngeq1, end{array} righT^{n}y

Schu [5], in 1991, considered the modified Mann iteration process which is a generalization of the Mann iteration process, left { begin{array}l} x_{1}in K, x_{n+1}= 1-alpha_{n})x_{n+1}= 1-alpha_{n}x_{n}+alpha_{n}1, end{array} righT^{n}x

Also, Chidume et al. [3] introduced the following iteration scheme: left { textstylebegin{array}l} x_{1}in C mbox{ arbitrarily}, x_{n+1}=P 1-alpha_{n}})x_{n+1}=P 1-alpha_{n}n-1}x_{n}+alpha_{n}y}displaysT PT right.

Kazmi and Rizvi presented the following iteration scheme: left { textstylebegin{array}l} u_{n}=J_{lambda}^{B_{1}}[x_{n}+gamma A^(J_{lambda }^{B_{2}}-I Ax_{n}]; x_{n+1}=alpha_{n}f(x_{n})+(1-alpha_{n})Tu_{n}, end{array}displaystyle right.

Then the sequence ((x_{n})) generated from an arbitrary (x_{1}in K) by the Ishikawa iteration method left { textstylebegin{array}{l} y_{n}= (1-beta_{n} )x_{n}+beta_{n}Tx_{n}, x_{n+1}= (1-alpha_{n} )x_{n}+alpha_{n}Tx_{n}, quad ngeq1, end{array}displaystyle right.

They proposed the following iteration algorithm: left { textstylebegin{array}l} y_{n}=J_{lambda}^{B_{1}}[x_{n}+gamma A^(J_{lambda }^{B_{2}}-I Ax_{n}]; x_{n+1}=alpha_{n}xi f(x_{n})+(I-alpha_{n}D)S_{n}y_{n}, end{array}displaystyle right.