object Sine
Linear Supertypes
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- def error(curve: AngularCurve, data: List[Point]): Double
- def errorBars(data: List[Point], curve: AngularCurve, width: Int): Image
- def errorPlot(data: List[Point], periods: List[Int]): Image
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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- def gradientDescent(data: List[Point], periods: List[Int], start: Int, goal: Int, step: Int): Image
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def
hashCode(): Int
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- val images: List[Image]
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isInstanceOf[T0]: Boolean
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final
def
ne(arg0: AnyRef): Boolean
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- def noiseSamples(n: Int, f: (Angle) ⇒ Random[Point]): Random[List[Point]]
- def noisySine(curve: AngularCurve, stdDev: Double = 15.0): (Angle) ⇒ Random[Point]
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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- val randomAngle: Random[Angle]
- val samples: Random[List[Point]]
- def sine(width: Int, amplitude: Double, period: Int): AngularCurve
- val sines: Image
- val spacer: Image
- def styledSine(curve: AngularCurve): Image
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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- val underBlue: Color
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wait(): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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wait(arg0: Long): Unit
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