Package

scalismo

numerics

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package numerics

Visibility
  1. Public
  2. All

Type Members

  1. trait CostFunction extends (ParameterVector) ⇒ (Float, DenseVector[Float])

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  2. case class FixedPointsMeshSampler3D(mesh: TriangleMesh, numberOfPoints: Int, seed: Int) extends Sampler[_3D] with Product with Serializable

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  3. case class FixedPointsUniformMeshSampler3D(mesh: TriangleMesh, numberOfPoints: Int, seed: Int) extends Sampler[_3D] with Product with Serializable

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  4. case class GradientDescentOptimizer(numIterations: Int, stepLength: Double, withLineSearch: Boolean = false, robinsMonroe: Boolean = false, stepDecreaseCoeff: Double = 0.0) extends Optimizer with Product with Serializable

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  5. case class GridSampler[D <: Dim](domain: DiscreteImageDomain[D])(implicit evidence$1: NDSpace[D]) extends Sampler[D] with Product with Serializable

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  6. case class Integrator[D <: Dim](sampler: Sampler[D])(implicit evidence$1: NDSpace[D]) extends Product with Serializable

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  7. case class LBFGSOptimizer(numIterations: Int, m: Int = 10, tolerance: Double = 1e-5) extends Optimizer with Product with Serializable

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  8. trait Optimizer extends AnyRef

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  9. case class PointsWithLikelyCorrespondenceSampler(gp: GaussianProcess[_3D, _3D], refmesh: TriangleMesh, targetMesh: TriangleMesh, maxMd: Double) extends Sampler[_3D] with Product with Serializable

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  10. case class RandomMeshSampler3D(mesh: TriangleMesh, numberOfPoints: Int, seed: Int) extends Sampler[_3D] with Product with Serializable

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  11. trait Sampler[D <: Dim] extends AnyRef

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    sample generator typeclass

  12. case class UniformMeshSampler3D(mesh: TriangleMesh, numberOfPoints: Int, seed: Int) extends Sampler[_3D] with Product with Serializable

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  13. case class UniformSampler[D <: Dim](domain: BoxDomain[D], numberOfPoints: Int)(implicit evidence$2: NDSpace[D]) extends Sampler[D] with Product with Serializable

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Value Members

  1. object BSpline

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  2. object Optimizer

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  3. object RandomSVD

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    Implementation of a Randomized approach for SVD, as proposed in Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions N Halko, PG Martinsson, JA Tropp - SIAM review, 2011 - SIAM

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