Package gaiasky.util.math

Interface VectorDouble<T extends VectorDouble<T>>

All Known Implementing Classes:
Vector2d, Vector3d
public interface VectorDouble<T extends VectorDouble<T>>

  • Method Summary

    Modifier and Type
    Method
    Description
    T
    add(T v)
    Adds the given vector to this vector
    T
    clamp(double min, double max)
    Clamps this vector's length to given min and max values
    T
    cpy()
     
    double
    dot(T v)
     
    double
    dst(T v)
     
    double
    dst2(T v)
    This method is faster than dst(VectorDouble) because it avoids calculating a square root.
    boolean
    epsilonEquals(T other, double epsilon)
    Compares this vector with the other vector, using the supplied epsilon for fuzzy equality testing.
    boolean
    hasOppositeDirection(T other)
     
    boolean
    hasSameDirection(T other)
     
    T
    interpolate(T target, double alpha, InterpolationDouble interpolator)
    Interpolates between this vector and the given target vector by alpha (within range [0,1]) using the given Interpolation method.
    boolean
    isCollinear(T other)
     
    boolean
    isCollinear(T other, double epsilon)
     
    boolean
    isCollinearOpposite(T other)
     
    boolean
    isCollinearOpposite(T other, double epsilon)
     
    boolean
    isOnLine(T other)
     
    boolean
    isOnLine(T other, double epsilon)
     
    boolean
    isPerpendicular(T other)
     
    boolean
    isPerpendicular(T other, double epsilon)
     
    boolean
    isUnit()
     
    boolean
    isUnit(double margin)
     
    boolean
    isZero()
     
    boolean
    isZero(double margin)
     
    double
    len()
     
    double
    len2()
    This method is faster than len() because it avoids calculating a square root.
    T
    lerp(T target, double alpha)
    Linearly interpolates between this vector and the target vector by alpha which is in the range [0,1].
    T
    limit(double limit)
    Limits the length of this vector, based on the desired maximum length.
    T
    limit2(double limit2)
    Limits the length of this vector, based on the desired maximum length squared.
    T
    mulAdd(T v, double scalar)
    First scale a supplied vector, then add it to this vector.
    T
    mulAdd(T v, T mulVec)
    First scale a supplied vector, then add it to this vector.
    T
    nor()
    Normalizes this vector.
    T
    scl(double scalar)
    Scales this vector by a scalar
    T
    scl(T v)
    Scales this vector by another vector
    T
    set(T v)
    Sets this vector from the given vector
    T
    setLength(double len)
    Sets the length of this vector.
    T
    setLength2(double len2)
    Sets the length of this vector, based on the square of the desired length.
    T
    setToRandomDirection()
    Sets this vector to the unit vector with a random direction
    T
    setZero()
    Sets the components of this vector to 0
    T
    sub(T v)
    Subtracts the given vector from this vector.

  • Method Details

    • cpy

      T cpy()
      Returns:
      a copy of this vector

    • len

      double len()
      Returns:
      The euclidean length

    • len2

      double len2()
      This method is faster than len() because it avoids calculating a square root. It is useful for comparisons, but not for getting exact lengths, as the return value is the square of the actual length.
      Returns:
      The squared euclidean length

    • limit

      T limit(double limit)
      Limits the length of this vector, based on the desired maximum length.
      Parameters:
      limit - desired maximum length for this vector
      Returns:
      this vector for chaining

    • limit2

      T limit2(double limit2)
      Limits the length of this vector, based on the desired maximum length squared.

      This method is slightly faster than limit().

      Parameters:
      limit2 - squared desired maximum length for this vector
      Returns:
      this vector for chaining
      See Also:

    • setLength

      T setLength(double len)
      Sets the length of this vector. Does nothing is this vector is zero.
      Parameters:
      len - desired length for this vector
      Returns:
      this vector for chaining

    • setLength2

      T setLength2(double len2)
      Sets the length of this vector, based on the square of the desired length. Does nothing is this vector is zero.

      This method is slightly faster than setLength().

      Parameters:
      len2 - desired square of the length for this vector
      Returns:
      this vector for chaining
      See Also:

    • clamp

      T clamp(double min, double max)
      Clamps this vector's length to given min and max values
      Parameters:
      min - Min length
      max - Max length
      Returns:
      This vector for chaining

    • set

      T set(T v)
      Sets this vector from the given vector
      Parameters:
      v - The vector
      Returns:
      This vector for chaining

    • sub

      T sub(T v)
      Subtracts the given vector from this vector.
      Parameters:
      v - The vector
      Returns:
      This vector for chaining

    • nor

      T nor()
      Normalizes this vector. Does nothing if it is zero.
      Returns:
      This vector for chaining

    • add

      T add(T v)
      Adds the given vector to this vector
      Parameters:
      v - The vector
      Returns:
      This vector for chaining

    • dot

      double dot(T v)
      Parameters:
      v - The other vector
      Returns:
      The dot product between this and the other vector

    • scl

      T scl(double scalar)
      Scales this vector by a scalar
      Parameters:
      scalar - The scalar
      Returns:
      This vector for chaining

    • scl

      T scl(T v)
      Scales this vector by another vector
      Returns:
      This vector for chaining

    • dst

      double dst(T v)
      Parameters:
      v - The other vector
      Returns:
      the distance between this and the other vector

    • dst2

      double dst2(T v)
      This method is faster than dst(VectorDouble) because it avoids calculating a square root. It is useful for comparisons, but not for getting accurate distances, as the return value is the square of the actual distance.
      Parameters:
      v - The other vector
      Returns:
      the squared distance between this and the other vector

    • lerp

      T lerp(T target, double alpha)
      Linearly interpolates between this vector and the target vector by alpha which is in the range [0,1]. The result is stored in this vector.
      Parameters:
      target - The target vector
      alpha - The interpolation coefficient
      Returns:
      This vector for chaining.

    • interpolate

      T interpolate(T target, double alpha, InterpolationDouble interpolator)
      Interpolates between this vector and the given target vector by alpha (within range [0,1]) using the given Interpolation method. the result is stored in this vector.
      Parameters:
      target - The target vector
      alpha - The interpolation coefficient
      interpolator - An Interpolation object describing the used interpolation method
      Returns:
      This vector for chaining.

    • setToRandomDirection

      T setToRandomDirection()
      Sets this vector to the unit vector with a random direction
      Returns:
      This vector for chaining

    • isUnit

      boolean isUnit()
      Returns:
      Whether this vector is a unit length vector

    • isUnit

      boolean isUnit(double margin)
      Returns:
      Whether this vector is a unit length vector within the given margin.

    • isZero

      boolean isZero()
      Returns:
      Whether this vector is a zero vector

    • isZero

      boolean isZero(double margin)
      Returns:
      Whether the length of this vector is smaller than the given margin

    • isOnLine

      boolean isOnLine(T other, double epsilon)
      Returns:
      true if this vector is in line with the other vector (either in the same or the opposite direction)

    • isOnLine

      boolean isOnLine(T other)
      Returns:
      true if this vector is in line with the other vector (either in the same or the opposite direction)

    • isCollinear

      boolean isCollinear(T other, double epsilon)
      Returns:
      true if this vector is collinear with the other vector (isOnLine(VectorDouble, double) && hasSameDirection(VectorDouble)).

    • isCollinear

      boolean isCollinear(T other)
      Returns:
      true if this vector is collinear with the other vector (isOnLine(VectorDouble) && hasSameDirection(VectorDouble)).

    • isCollinearOpposite

      boolean isCollinearOpposite(T other, double epsilon)
      Returns:
      true if this vector is opposite collinear with the other vector (isOnLine(VectorDouble, double) && hasOppositeDirection(VectorDouble)).

    • isCollinearOpposite

      boolean isCollinearOpposite(T other)
      Returns:
      true if this vector is opposite collinear with the other vector (isOnLine(VectorDouble) && hasOppositeDirection(VectorDouble)).

    • isPerpendicular

      boolean isPerpendicular(T other)
      Returns:
      Whether this vector is perpendicular with the other vector. True if the dot product is 0.

    • isPerpendicular

      boolean isPerpendicular(T other, double epsilon)
      Parameters:
      epsilon - a positive small number close to zero
      Returns:
      Whether this vector is perpendicular with the other vector. True if the dot product is 0.

    • hasSameDirection

      boolean hasSameDirection(T other)
      Returns:
      Whether this vector has similar direction compared to the other vector. True if the normalized dot product is > 0.

    • hasOppositeDirection

      boolean hasOppositeDirection(T other)
      Returns:
      Whether this vector has opposite direction compared to the other vector. True if the normalized dot product is < 0.

    • epsilonEquals

      boolean epsilonEquals(T other, double epsilon)
      Compares this vector with the other vector, using the supplied epsilon for fuzzy equality testing.
      Parameters:
      other -
      epsilon -
      Returns:
      whether the vectors have fuzzy equality.

    • mulAdd

      T mulAdd(T v, double scalar)
      First scale a supplied vector, then add it to this vector.
      Parameters:
      v - addition vector
      scalar - for scaling the addition vector

    • mulAdd

      T mulAdd(T v, T mulVec)
      First scale a supplied vector, then add it to this vector.
      Parameters:
      v - addition vector
      mulVec - vector by whose values the addition vector will be scaled

    • setZero

      T setZero()
      Sets the components of this vector to 0
      Returns:
      This vector for chaining