We solve a common geometric problem: determining the intersection points of two circles.
This has applications in fields like $computer$ $graphics$, $robotics$, and $navigation$.
Problem Statement
Two circles are defined by:
- Circle 1: Center $(x_1, y_1)$, radius $r_1$.
- Circle 2: Center $(x_2, y_2)$, radius $r_2$.
The task is to find the intersection points of these circles.
If they intersect, there can be two points, one point (tangent), or no intersection.
Python Implementation
1 | import numpy as np |
Explanation of Code
Distance Check:
- The distance $( d )$ between the circle centers determines whether they intersect:
- $( d > r_1 + r_2 )$: No intersection (too far apart).
- $( d < |r_1 - r_2| )$: No intersection (one circle is contained within the other).
- $( d = 0 )$ and $( r_1 = r_2 )$: Infinite intersections (identical circles).
- The distance $( d )$ between the circle centers determines whether they intersect:
Intersection Calculation:
- The formula for $( a )$ calculates the distance from the first circle’s center to the midpoint between intersection points.
- $( h )$ is the perpendicular distance from the midpoint to the intersection points.
Visualization:
- The circles are drawn with
plt.Circle
. - Intersection points are plotted in green, and the centers are marked in black.
- The circles are drawn with
Key Outputs
Intersection Points:
- The two green points indicate where the circles intersect.
- If no points exist, the code returns
None
.
Graph:
- The visualization shows the circles, their centers, and their intersection points clearly.
This example can be extended to solve 3D sphere intersection problems or optimized for large datasets of circles.