Distance is a numerical or occasionally qualitative measurement of how far apart objects or points are. In physics or everyday usage, distance may refer to a physical length or an estimation based on other criteria (e.g. "two counties over"). Since spatial cognition is a rich source of conceptual metaphors in human thought, the term is also frequently used metaphorically to mean a measurement of the amount of difference between two similar objects (such as statistical distance between probability distributions or edit distance between strings of text) or a degree of separation (as exemplified by distance between people in a social network). Most such notions of distance, both physical and metaphorical, are formalized in mathematics using the notion of a metric space. In the social sciences, distance can refer to a qualitative measurement of separation, such as social distance or psychological distance. (Wikipedia).
This video show how to use the distance formula to determine the distance between two points. It also shows how it is derived from the Pythagorean theorem. http://mathispower4u.yolasite.com/
From playlist Using the Distance Formula / Midpoint Formula
Example: Determine the Distance Between Two Points
This video shows an example of determining the length of a segment on the coordinate plane by using the distance formula. Complete Video List: http://www.mathispower4u.yolasite.com or http://www.mathispower4u.wordpress.com
From playlist Using the Distance Formula / Midpoint Formula
Distance Formula given two points
In this video, we review how to calculate the distance if we are given the value of two points
From playlist Geometry
Determine the distance between two points using distance formula ex 1, A(3, 2) and B(6, 3)
👉 Learn how to find the distance between two points. The distance between two points is the length of the line joining the two points in the coordinate plane. To find the distance between two points in the coordinate plane, we make use of the formula d = sqrt((x2 - x1)^2 + (y2 - y1)^2). 👏
From playlist Find the Distance of the Line Segment
Determine the distance between two points on a coordinate axis
👉 Learn how to find the distance between two points. The distance between two points is the length of the line joining the two points in the coordinate plane. To find the distance between two points in the coordinate plane, we make use of the formula d = sqrt((x2 - x1)^2 + (y2 - y1)^2). 👏
From playlist Find the Distance of the Line Segment
Determine the distance of two points on a number line
👉 Learn how to find the distance between two points. The distance between two points is the length of the line joining the two points in the coordinate plane. To find the distance between two points in the coordinate plane, we make use of the formula d = sqrt((x2 - x1)^2 + (y2 - y1)^2). 👏
From playlist Find the Distance of the Line Segment
Applying the distance formula to find the distance between two points
👉 Learn how to find the distance between two points. The distance between two points is the length of the line joining the two points in the coordinate plane. To find the distance between two points in the coordinate plane, we make use of the formula d = sqrt((x2 - x1)^2 + (y2 - y1)^2). 👏
From playlist Find the Distance of the Line Segment
Find the distance between the two coordinate points ex 1
👉 Learn how to find the distance between two points. The distance between two points is the length of the line joining the two points in the coordinate plane. To find the distance between two points in the coordinate plane, we make use of the formula d = sqrt((x2 - x1)^2 + (y2 - y1)^2). 👏
From playlist Find the Distance of the Line Segment
Giacomo De Palma: "The quantum Wasserstein distance of order 1"
Entropy Inequalities, Quantum Information and Quantum Physics 2021 "The quantum Wasserstein distance of order 1" Giacomo De Palma - Massachusetts Institute of Technology, Research Laboratory of Electronics Abstract: We propose a generalization of the Wasserstein distance of order 1 to th
From playlist Entropy Inequalities, Quantum Information and Quantum Physics 2021
The applications of non-euclidean distance | Metric Spaces
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From playlist Applied Math
Every Distance in Data Science (Almost 100K Subs!)
0:00 Intro 2:19 Euclidean Distance 5:47 Manhattan Distance 9:14 Minkowski Distance 12:49 Chebyshev Distance 15:40 Cosine Distance 19:35 Hamming Distance 20:17 Haversine Distance Lasso Regression : https://www.youtube.com/watch?v=jbwSCwoT51M Curse of Dimensionality : https://www.youtube.c
From playlist Data Science Basics
Weird notions of "distance" || Intro to Metric Spaces
Visit https://brilliant.org/TreforBazett/ to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription. Check out my MATH MERCH line in collaboration with Beautiful Equations ►https://www.beautifulequation.com/pages/trefor Weird, fun
From playlist Cool Math Series
Michael Lesnick (5/3/21): l_p-Metrics on Multiparameter Persistence Modules
Motivated both by theoretical and practical considerations in topological data analysis, we generalize the p-Wasserstein distance on barcodes to multi-parameter persistence modules. For each p ? [1,?], we in fact introduce two such generalizations d_I^p and d_M^p, such that d_I^? equals th
From playlist TDA: Tutte Institute & Western University - 2021
Guy Rothblum - Group Fairness and Individual Fairness Pt. 2/2 - IPAM at UCLA
Recorded 11 July 2022. Guy Rothblum of Apple Inc. presents "Group Fairness and Individual Fairness" at IPAM's Graduate Summer School on Algorithmic Fairness. Abstract: The early literature on the theory of algorithmic fairness identified two categories of fairness notions: group fairness,
From playlist 2022 Graduate Summer School on Algorithmic Fairness
Euclidean and non-Euclidean metrics -- Proofs
This lecture is on Introduction to Higher Mathematics (Proofs). For more see http://calculus123.com.
From playlist Proofs
Metric Spaces - Lectures 1 & 2: Oxford Mathematics 2nd Year Student Lecture
For the first time we are making a full Oxford Mathematics Undergraduate lecture course available. Ben Green's 2nd Year Metric Spaces course is the first half of the Metric Spaces and Complex Analysis course. This is the 1st of 11 videos. The course is about the notion of distance. You ma
From playlist Oxford Mathematics Student Lectures - Metric Spaces
Learn to use the distance formula to find the distance between two points
👉 Learn how to find the distance between two points. The distance between two points is the length of the line joining the two points in the coordinate plane. To find the distance between two points in the coordinate plane, we make use of the formula d = sqrt((x2 - x1)^2 + (y2 - y1)^2). 👏
From playlist Find the Distance of the Line Segment