class Box extends Topology with XBlocks with YBlocks
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- Box.scala
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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def
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def
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def
diffuse(amount: Double, vn: Int): Unit
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- @throws( classOf[AgentException] ) @throws( classOf[PatchException] )
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def
diffuse4(amount: Double, vn: Int): Unit
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def
diffuseCenter(amount: Double, vn: Int, fourWay: Boolean, scratch: Array[Array[Double]]): Unit
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- def diffuseCorners(amount: Double, vn: Int, fourWay: Boolean, scratch: Array[Array[Double]]): Unit
- def diffuseXBorder(amount: Double, vn: Int, fourWay: Boolean, scratch: Array[Array[Double]]): Unit
- def diffuseYBorder(amount: Double, vn: Int, fourWay: Boolean, scratch: Array[Array[Double]]): Unit
- def distanceWrap(dx: Double, dy: Double, x1: Double, y1: Double, x2: Double, y2: Double): Double
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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- def followOffsetX: Double
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final
def
getClass(): Class[_]
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def
getNeighbors(source: Patch): IndexedAgentSet
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def
getNeighbors4(source: Patch): IndexedAgentSet
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- def getPE(source: Patch): Patch
- def getPN(source: Patch): Patch
- def getPNE(source: Patch): Patch
- def getPNW(source: Patch): Patch
- def getPS(source: Patch): Patch
- def getPSE(source: Patch): Patch
- def getPSW(source: Patch): Patch
- def getPW(source: Patch): Patch
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def
getPatchScratch(vn: Int): Array[Array[Double]]
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def
getRegion(initialX: Int, initialY: Int, initialR: Int): ArrayList[(Int, Int)]
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def
hashCode(): Int
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def
notify(): Unit
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final
def
notifyAll(): Unit
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- def shortestPathX(x1: Double, x2: Double): Double
- def shortestPathY(y1: Double, y2: Double): Double
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final
def
sum4(a: Double, b: Double, c: Double, d: Double): Double
This method returns a consistent sum of the four numbers regardless of their order.
This method returns a consistent sum of the four numbers regardless of their order.
Floating point addition is commutative but NOT associative. Hence, the sum of a set of numbers will change depending on their order. This procedure fixes that by summing the numbers as: (2 lowest) + (2 highest). The naive fix to this problem is to sort the numbers before summing. However, this is slow and unnecessary. Instead, we split the numbers into two groups, such that each group contains either the two highest or the two lowest numbers (though we don't necessarily know which group is which). We then sum each group separately, and then sum their sums. This works because we can rely on the commutativity of floats. -- BCH 10/15/2017
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def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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- def towardsWrap(headingX: Double, headingY: Double): Double
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final
def
updatePatch(amount: Double, vn: Int, directions: Int, x: Int, y: Int, oldVal: Double, sum: Double): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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final
def
wait(): Unit
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val
world: World
- Definition Classes
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- def wrapX(x: Double): Double
- def wrapY(y: Double): Double
- val xWraps: Boolean
- val yWraps: Boolean