Let two points A and B and their coordinates be: A(x 1, y 1) and B(x2, y2), then the distance between two points A and B is:
The distance formula between two points is often used to find the distance between two points and the coordinates of points in a function diagram, and it is one of the distance formulas. The distance formula between two points describes the relationship between points and the distance between points.
Extended data:
Distance from point to straight line:
Line Ax+By+C=0 coordinates (Xo, Yo) So the distance from this point to this line is:
Formula description:
The linear equation in the formula is Ax+By+C=0, and the coordinate of point P is (x0, y0).
Of all the line segments connecting a point outside the straight line with a point on the straight line, the vertical line segment is the shortest, and the length of this vertical line segment is called the distance from the point to the straight line.
Common distances in mathematics:
1, Euclidean distance, also known as Euclidean metric and Euclidean metric, is a common definition of distance and the real distance between two points in M-dimensional space. Euclidean distance in two-dimensional and three-dimensional space is the distance between two points.
2. Manhattan distance, taxi geometry or Manhattan distance is a term coined by hermann minkowski in19th century. It is a geometric term used in geometric metric space, which represents the sum of absolute wheelbase of two points in standard coordinate system.
3. Mathematically, Chebyshev distance or L∞ metric is a metric in vector space, and the distance between two points is defined as the maximum value of the absolute difference of each coordinate. From the mathematical point of view, Chebyshev distance is a measure derived from uniform norm (or supremum norm) and also a super-convex measure.