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Supremum Distance Calculator Online

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The Supremum Distance Calculator is a valuable tool that aids in determining the maximum difference between the x and y coordinates of two distinct points, typically visualized in a Cartesian coordinate system. This distance is known as the supremum distance and is a fundamental concept in mathematics, particularly in the study of distances and disparities between points in a 2D space.

Formula of Supremum Distance Calculator

The formula for calculating the supremum distance is straightforward and is as follows:

supremum_distance = max(abs(A_x - B_x), abs(A_y - B_y))

In this formula:

  • A_x and A_y denote the coordinates of a point in set A.
  • B_x and B_y denote the coordinates of a point in set B.
  • abs() signifies the absolute value function.
  • max() returns the maximum value among the absolute differences in x and y coordinates between corresponding points in sets A and B.
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General Terms Table

TermDescription
Supremum DistanceThe maximum difference between x and y coordinates of points
Cartesian CoordinatesRepresentation of points in a 2D space using x and y axes
Absolute ValueMagnitude of a real number without considering its sign
Maximum ValueThe greatest value among a set of numbers or expressions

Example of Supremum Distance Calculator

Let’s consider two points: A(3, 5) and B(7, 9).

Calculating the supremum distance using the formula:

supremum_distance = max(abs(3 - 7), abs(5 - 9)) supremum_distance = max(abs(-4), abs(-4)) supremum_distance = max(4, 4) supremum_distance = 4

Thus, the supremum distance between points A and B is 4 units.

Most Common FAQs

What is the significance of calculating the supremum distance?
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The supremum distance provides a clear understanding of the maximum difference in coordinates between two points, assisting in various fields such as geometry, computer science, and optimization problems.

How is the supremum distance useful in real-life scenarios?

Understanding the maximum separation between two points is crucial in fields like geographical mapping, data clustering, and nearest neighbor algorithms.

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