How to resolve the algorithm Range consolidation step by step in the Mathematica/Wolfram Language programming language

Published on 4 July 2024 02:40 AM

How to resolve the algorithm Range consolidation step by step in the Mathematica/Wolfram Language programming language

Table of Contents

Problem Statement

Define a range of numbers   R,   with bounds   b0   and   b1   covering all numbers between and including both bounds.

That range can be shown as:

Given two ranges, the act of consolidation between them compares the two ranges:

Given   N   ranges where   N > 2   then the result is the same as repeatedly replacing all combinations of two ranges by their consolidation until no further consolidation between range pairs is possible. If   N < 2   then range consolidation has no strict meaning and the input can be returned.

Let a normalized range display show the smaller bound to the left;   and show the range with the smaller lower bound to the left of other ranges when showing multiple ranges. Output the normalized result of applying consolidation to these five sets of ranges: Show all output here.

Let's start with the solution:

Step by Step solution about How to resolve the algorithm Range consolidation step by step in the Mathematica/Wolfram Language programming language

The provided Wolfram programming language code performs the following tasks:

  1. Data Initialization:

    • It defines a list called data that contains nested lists of numbers. Each inner list represents a set of intervals. For example:
      • {{1.1,2.2}} represents the interval from 1.1 to 2.2 (inclusive).
      • {{6.1,7.2},{7.2,8.3}} represents two intervals, one from 6.1 to 7.2 and another from 7.2 to 8.3.
  2. Interval Conversion:

    • Map[Interval, data, {2}] converts each list of numbers in data into a list of Interval objects. The {2} argument specifies that it should operate on the second level of nesting, transforming each inner list.
  3. Interval Union:

    • IntervalUnion@@@ then applies the IntervalUnion function to each list of intervals created in the previous step. This function combines overlapping and adjacent intervals into a single interval.
  4. Column Display:

    • Finally, Column[IntervalUnion@@@Map[Interval,data,{2}]] displays the resulting unified intervals in a vertical column, with each interval on a separate line.

Here's a detailed breakdown of what happens in the code:

  • data is a list of lists of numbers, where each inner list represents a set of intervals.
  • Map[Interval, data, {2}] converts each inner list into a list of Interval objects using the Interval constructor.
  • IntervalUnion@@@ applies the IntervalUnion function to each list of intervals, unifying them.
  • Column[] displays the resulting intervals in a vertical column.

The output of the code is a column of intervals that have been unified from the original data.

Source code in the wolfram programming language

data={{{1.1,2.2}},
{{6.1,7.2},{7.2,8.3}},
{{4,3},{2,1}},
{{4,3},{2,1},{-1,-2},{3.9,10}},
{{1,3},{-6,-1},{-4,-5},{8,2},{-6,-6}}};
Column[IntervalUnion@@@Map[Interval,data,{2}]]


  

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