ORCid.org is an interesting researcher, research publication database (here for me, Darrell Ulm) I've recently become aware of ORCID.org, which serves as an interesting database for researchers and their research publications. This tool seems to possess considerable potential, particularly in its ability to provide fine-grained control over how research outputs and other pertinent details are entered and managed. As a comprehensive research listing platform with numerous beneficial features, I find it surprising that I only encountered it recently..
This is the Scala version of the approximation algorithm for the knapsack problem using Apache Spark. I ran this on a local setup, so it may require modification if you are using something like a Databricks environment. Also you will likely need to setup your Scala environment. All the code for this is at GitHub First, let's import all the libraries we need. import org.apache.spark._ import org.apache.spark.rdd.RDD import org.apache.spark.SparkConf import org.apache.spark.SparkContext._ import org.apache.spark.sql.DataFrame import org.apache.spark.sql.SparkSession import org.apache.spark.sql.functions.sum We'll define this object knapsack, although it could be more specific for what this is doing, it's good enough for this simple test. object knapsack { Again, we'll define the knapsack approximation algorithm, expecting a dataframe with the profits and weights, as well as W, a total weight. def knapsackApprox(knapsackDF: DataFrame, W: Double): Da...