Sentence examples for as follows input from inspiring English sources

In the procedure of amplifier design, the input operation range g1 ∈ [ g1, l,  g1, u ]  can be set by transforming the inducer concentration I1 into the input fluorescence according to (2) or (3) as follows Input operation range: (6) I 1 ∈ I 1, l, I 1, u ⇒ g 1 ∈ g 1, l, g 1, u a. u.

The algorithm to implement RCM is as follows: Input: data from sample multimedia file.

Structure of the NN is created as follows: Input vector of the NN is (M+n) dimensions.

The error detection problem is stated as follows: Input: A set (varSigma ) of (mathsf {GFDs}) and a graph G. Output: The set ({mathsf {Vio}} (varSigma, G)) of violations.

Detailed implementation of the process of FSAMP algorithm is as follows: Input: the sensing matrixA = ΦΨ (A ∈ RM × N), measurement signaly, and the parameter step-size sequence s.

The parameter setting of traditional K-means cluster algorithm is as follows: input 45 samples, threshold ε = 0.001, and cluster numbers z = 9.

In the process of resource allocation in a cloud computing environment, the application of ICSA to the general process is as follows: Inputs: Let R = (R1, R2, …, R j, …, R m ) be the set of m available resources which should process n independent tasks denoted by the set T = (T1, T2, …, T i, …, T n ), i = 1, 2, …, n, j = 1, 2, …, m.

The volume of magnetic beads and rRNA removal solution varied according to the RNA input as follows: 225 μl beads and 10 μl removal solution in a final volume of 40 μl for inputs >1 μg; 125 μl beads and 4 μl rRNA removal solution in a 20 μL final reaction volume for 100 ng to 1 μg inputs; 90 μl beads and 2 μl rRNA removal solution in a 20 μl reaction volume for <100 ng inputs.

Our service computes a logP value which is multiplied by the value of the scaling factor parameter specified in the input as follows.

Alternatively, one can prepare the input format as follows.

Unfortunately, no function is best in this sense, since for any given string σ with f-complexity |σ| − k, we can design a function g as follows: on input 1, output σ; on input nδ (for any n), output f. (Generalising, we can add arbitrarily long prefixes of length m onto the inputs to g and have better-than-f compression for 2m sequences).