{"id":41447,"date":"2018-02-02T06:14:00","date_gmt":"2018-02-01T22:14:00","guid":{"rendered":"http:\/\/itteacheritfreelance.hk\/test\/wordpress\/?guid=b177edee10ffadafab4aeba231d78a17"},"modified":"2018-02-02T06:14:00","modified_gmt":"2018-02-01T22:14:00","slug":"java-101-datastructures-and-algorithms-in-java-part-3","status":"publish","type":"post","link":"https:\/\/itteacheritfreelance.hk\/test\/wordpress\/2018\/02\/02\/java-101-datastructures-and-algorithms-in-java-part-3\/","title":{"rendered":"Java 101: Datastructures and algorithms in Java, Part 3"},"content":{"rendered":"
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In Datastructures and algorithms in Java, Part 2<\/a> I introduced a variety of techniques for searching and sorting one-dimensional arrays, which are the simplest arrays. In this article we’ll explore multidimensional arrays. I’ll introduce the three techniques for creating multidimensional arrays, then show you how to use the Matrix Multiplication algorithm to multiply elements in a two-dimensional array. I’ll also introduce ragged arrays and show you why they are popular for big data applications. Finally, I will answer the question of whether an array is or is not a Java object.\u00a0<\/p>\n

To read this article in full, please click here<\/a><\/p>\n<\/section>\n<\/article>\n","protected":false},"excerpt":{"rendered":"

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In Datastructures and algorithms in Java, Part 2<\/a> I introduced a variety of techniques for searching and sorting one-dimensional arrays, which are the simplest arrays. In this article we’ll explore multidimensional arrays. I’ll introduce the three techniques for creating multidimensional arrays, then show you how to use the Matrix Multiplication algorithm to multiply elements in a two-dimensional array. I’ll also introduce ragged arrays and show you why they are popular for big data applications. Finally, I will answer the question of whether an array is or is not a Java object. <\/p>\n

To read this article in full, please click here<\/a><\/p>\n<\/section>\n<\/article>\n

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