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..
The code shown below computes an approximation algorithm, greedy heuristic, for the 0-1 knapsack problem in Apache Spark. Having worked with parallel dynamic programming algorithms a good amount, wanted to see what this would look like in Spark. The Github code repo. for the Knapsack approximation algorithms is here , and it includes a Scala solution. The work on a Java version is in progress at time of this writing. Below we have the code that computes the solution that fits within the knapsack W for a set of items each with it's own weight and profit value. We look to maximize the final sum of selected items profits while not exceeding the total possible weight, W. First we import some spark libraries into Python. # Knapsack 0-1 function weights, values and size-capacity. from pyspark.sql import SparkSession from pyspark.sql.functions import lit from pyspark.sql.functions import col from pyspark.sql.functions import sum Now define the function, which will take a Spark ...