Examples of usage Sample Clauses

Examples of usage. 4.1 Sample code There are several examples of the usage of LibLip provided in the distri- bution. The best way to use LibLip is to declare an instance of the class SLipInt, SLipIntLp or STCInterpolant and call its members directly. These classes are declared in LibLipc.h.
Sample 1
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Examples of usage. ‌ “Multi-omics Research Environment” is in active development and test stage. We will run the further set of tests as soon as EMIF AD vertical -omics data becomes available. At the moment we are testing the environment by using publicly available data from EMBL-EBI archives (ENA, ArrayExpress). Below are the examples of “Multi-omics Research Environment” usage. Let’s imagine the following simple scenario: user would like to upload raw data files to iRODS, then he or she would like to run one of the dockerized pipelines to analyse data and finally, to download the analysis results.
Sample 1
Examples of usage. Table 3.2 shows eight examples of different operations in MATLAB and in Paral- lel Colt. Since Java is a statically typed language, all variable names (along with their types) must be explicitly declared. MATLAB, on the other hand, is a dy- namically typed language so there is no need to declare anything. An assignment statement binds a name to an object of any type and later the same name may be assigned to an object of a different type. This feature makes MATLAB expres- sions generally much more concise than the corresponding expressions in Java. Another essential difference between MATLAB and Parallel Colt arises from the inability to do operator overloading in Java (compare the matrix times vector ex- pressions). Aside from these two differences, the expressions in Table 3.2 show that the same level of abstraction is used in MATLAB and Parallel Colt. Description MATLAB Parallel Colt Copy of A B = A; DoubleMatrix2D B = A.copy(); Transpose of A B = A’; DoubleMatrix2D B = A.viewDice(); Matrix times vector B = A*x; DoubleMatrix2D B = A.zMult(x); 2D FFT of A B = fft2(A); DComplexMatrix2D B = A.getFft2(); FFT along columns of A B = fft(A,2); DComplexMatrix2D B = A.getFftColumns(); Cosine of A (in-place) A = cos(A); A.assign(DoubleFunctions.cos); Sum all entries of A s = sum(A(:)); double s = A.zSum(); Location of max of A [i, j] = find(A == max(A(:))); double[] max = A.getMaxLocation(); Table 3.2: Comparison of MATLAB and Parallel Colt expressions for a sample set of matrix operations.
Sample 1

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