Class MaxPairWiseProduct6

java.lang.Object
topics.foundation.maxpairwise.MaxPairWiseProduct6
public class MaxPairWiseProduct6 extends Object

Maximum Pairwise Product (Optimal Linear Scan)

Evaluates the maximum pairwise product from a dataset of integers loaded from an external text file. This implementation represents the mathematically optimal approach, locating the two maximum values in a single pass without the overhead of sorting the entire collection.

Complexity

  • Time Complexity: O(N) - Requires only a single linear traversal of the dataset to identify the two largest elements. This provides a massive performance leap over O(N log N) sorting for exceptionally large datasets.
  • Space Complexity: O(N) - Requires linear memory to store the dataset in the collection. (Note: This could be optimized to O(1) if the file was streamed and evaluated on-the-fly rather than stored).
Author:
vicegd

  • Constructor Summary

    Constructors
    Constructor
    Description
    MaxPairWiseProduct6()
    Initializes the computational context by reading a single-line dataset of space-separated integers from the filesystem into memory.

  • Method Summary

    Modifier and Type
    Method
    Description
    long
    compute()
    Computes the maximum mathematical product natively by tracking the top two largest integers during a single iteration sequence.

    Methods inherited from class Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Constructor Details

    • MaxPairWiseProduct6

      public MaxPairWiseProduct6()
      Initializes the computational context by reading a single-line dataset of space-separated integers from the filesystem into memory.

  • Method Details

    • compute

      public long compute()
      Computes the maximum mathematical product natively by tracking the top two largest integers during a single iteration sequence.
      Returns:
      The highest mathematical pairwise product found in the dataset.
      Throws:
      IllegalStateException - if the dataset contains fewer than two elements.