July 2017
Beginner to intermediate
715 pages
17h 3m
English
Content preview from Java: Data Science Made Easy
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Using Java 8 to perform matrix multiplication
Here, we will illustrate how streams can be used to perform matrix multiplication. The definitions of the A, B, and C matrices are the same as declared in the Implementing basic matrix operations section. They are duplicated here for your convenience:
double A[][] = { {0.1950, 0.0311}, {0.3588, 0.2203}, {0.1716, 0.5931}, {0.2105, 0.3242}}; double B[][] = { {0.0502, 0.9823, 0.9472}, {0.5732, 0.2694, 0.916}}; double C[][] = new double[n][p];
The following sequence is a stream implementation of matrix multiplication. A detailed explanation of the code follows:
C = Arrays.stream(A) .parallel() .map(AMatrixRow -> IntStream.range(0, B[0].length) .mapToDouble(i -> IntStream.range(0, B.length) ...
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