In the past, slow evaluation of mathematical functions and large memory footprint were the most significant drawbacks of Java compared to C++/C for numeric computations and scientific data analysis. However, recent enhancements in the Java Virtual Machine (JVM) enabled faster and better numerical computing due to several enhancements in evaluating trigonometric functions. In this article we will use the DataMelt (https://datamelt.org) for our benchmarks. Let us consider the following algorithm implemented in the Groovy dynamically-typed language shown below. It uses […]