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Square Line Picking -- from Wolfram MathWorld
Square line picking is the selection of pairs of points (corresponding to endpoints of a line segment) randomly placed inside a square. n random line segments can be picked in a unit square in the Wolfram Language using the function RandomPoint[Rectangle[], {n, 2}]. Picking two points at random from the interior of a unit square, the average distance between them is the n=2 case of hypercube line picking, i.e., Delta(2) = 1/(15)[sqrt(2)+2+5ln(1+sqrt(2))] (1) = 1/(15)(2+sqrt(2)+5sinh^(-1)1)...
Bing
Square Line Picking -- from Wolfram MathWorld
Square line picking is the selection of pairs of points (corresponding to endpoints of a line segment) randomly placed inside a square. n random line segments can be picked in a unit square in the Wolfram Language using the function RandomPoint[Rectangle[], {n, 2}]. Picking two points at random from the interior of a unit square, the average distance between them is the n=2 case of hypercube line picking, i.e., Delta(2) = 1/(15)[sqrt(2)+2+5ln(1+sqrt(2))] (1) = 1/(15)(2+sqrt(2)+5sinh^(-1)1)...
DuckDuckGo
Square Line Picking -- from Wolfram MathWorld
Square line picking is the selection of pairs of points (corresponding to endpoints of a line segment) randomly placed inside a square. n random line segments can be picked in a unit square in the Wolfram Language using the function RandomPoint[Rectangle[], {n, 2}]. Picking two points at random from the interior of a unit square, the average distance between them is the n=2 case of hypercube line picking, i.e., Delta(2) = 1/(15)[sqrt(2)+2+5ln(1+sqrt(2))] (1) = 1/(15)(2+sqrt(2)+5sinh^(-1)1)...
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25- titleSquare Line Picking -- from Wolfram MathWorld
- DC.TitleSquare Line Picking
- DC.CreatorWeisstein, Eric W.
- DC.DescriptionSquare line picking is the selection of pairs of points (corresponding to endpoints of a line segment) randomly placed inside a square. n random line segments can be picked in a unit square in the Wolfram Language using the function RandomPoint[Rectangle[], {n, 2}]. Picking two points at random from the interior of a unit square, the average distance between them is the n=2 case of hypercube line picking, i.e., Delta(2) = 1/(15)[sqrt(2)+2+5ln(1+sqrt(2))] (1) = 1/(15)(2+sqrt(2)+5sinh^(-1)1)...
- descriptionSquare line picking is the selection of pairs of points (corresponding to endpoints of a line segment) randomly placed inside a square. n random line segments can be picked in a unit square in the Wolfram Language using the function RandomPoint[Rectangle[], {n, 2}]. Picking two points at random from the interior of a unit square, the average distance between them is the n=2 case of hypercube line picking, i.e., Delta(2) = 1/(15)[sqrt(2)+2+5ln(1+sqrt(2))] (1) = 1/(15)(2+sqrt(2)+5sinh^(-1)1)...
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- og:titleSquare Line Picking -- from Wolfram MathWorld
- og:descriptionSquare line picking is the selection of pairs of points (corresponding to endpoints of a line segment) randomly placed inside a square. n random line segments can be picked in a unit square in the Wolfram Language using the function RandomPoint[Rectangle[], {n, 2}]. Picking two points at random from the interior of a unit square, the average distance between them is the n=2 case of hypercube line picking, i.e., Delta(2) = 1/(15)[sqrt(2)+2+5ln(1+sqrt(2))] (1) = 1/(15)(2+sqrt(2)+5sinh^(-1)1)...
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- twitter:titleSquare Line Picking -- from Wolfram MathWorld
- twitter:descriptionSquare line picking is the selection of pairs of points (corresponding to endpoints of a line segment) randomly placed inside a square. n random line segments can be picked in a unit square in the Wolfram Language using the function RandomPoint[Rectangle[], {n, 2}]. Picking two points at random from the interior of a unit square, the average distance between them is the n=2 case of hypercube line picking, i.e., Delta(2) = 1/(15)[sqrt(2)+2+5ln(1+sqrt(2))] (1) = 1/(15)(2+sqrt(2)+5sinh^(-1)1)...
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60- http://oeis.org/A091505
- http://oeis.org/A091506
- http://oeis.org/A103304
- http://oeis.org/A103305
- http://reference.wolfram.com/language/ref/RandomPoint.html