Packages

  • package root
    Definition Classes
    root
  • package de
    Definition Classes
    root
  • package h2b
    Definition Classes
    de
  • package scala
    Definition Classes
    h2b
  • package lib
    Definition Classes
    scala
  • package math
    Definition Classes
    lib
  • package linalg

    LinAlg provides data types and operations for algebraic vectors and matrices.

    LinAlg provides data types and operations for algebraic vectors and matrices.

    Vector and Matrix elements can be of arbitrary type, provided that a factory for that element type is available. Currently, factories exist for Double, Float, Long, Int, Short, Byte and Char.

    Vector and matrix (row and column) indices can be any integer (to state more precisely, an index must be in the interval [Mindex, Maxdex], as defined in the Index object). But only elements corresponding to a subset of that whole integer range actually are stored (the concrete elements), while all other elements by definition are zero (virtual elements).

    This concept (which I got to value a long time ago with the ALGOL68 library prelude TORRIX [1]) does not only provide a natural approach to operations with vectors and matrixes of different index ranges, but also prevents from index-out-of-bounds exceptions.

    Concrete index ranges (those indices that correspond to concrete elements) implicitly or explicitly are assigned when a vector or matrix is created. By default, it starts at 1 and extends to the number of elements specified, but this is customizable.

    Vectors and Matrixes both are immutable by design, so there exist no update methods or the like (you cannot do v(i) = something). There are, however, builder classes that allow you to build Vectors and Matrixes element by element.

    Currently, operations on vectors and matrices require identical element types. For instance, you can add a Vector[Int] to another Vector[Int], but you cannot add a Vector[Int] to another Vector[Double].

    Definition Classes
    math
    See also

    [1] S. G. van der Meulen, P. Kühling, "Programmieren in ALGOL68", Bd. II (Berlin, New York: de Gruyter), 149-188 (1977)

  • package storage

    Storage engines for vectors and matrices.

    Storage engines for vectors and matrices.

    Definition Classes
    linalg
    Since

    3.0.0

  • MatrixStore
  • RowMatrixStore
  • SimpleVectorStore
  • SparseRowMatrixStore
  • SparseVectorStore
  • VectorStore

trait MatrixStore[E] extends AnyRef

Definition trait for storage of matrix elements.

Implementations of this trait need to provide concrete methods with signatures

def index: Index2
def row (i: Int): Vector[E]
def col (j: Int): Vector[E]
def apply (i: Int, j: Int): E
protected def dataHashCode: Int

The dataHashCode method must be consistent over all implementations to ensure equality between different implementations of the same data.

Since

2.0.0

Linear Supertypes
AnyRef, Any
Known Subclasses
Matrix, SparseMatrix, RowMatrix, SparseRowMatrix, RowMatrixStore, SparseRowMatrixStore
Ordering
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Inherited
  1. MatrixStore
  2. AnyRef
  3. Any
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Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract def apply(i: Int, j: Int): E

    i

    the row index

    j

    the column index

    returns

    the element with index i,j

  2. abstract def col(j: Int): Vector[E]

    j

    the column index

    returns

    the column vector with index j

  3. abstract def dataHashCode: Int
    Attributes
    protected
  4. implicit abstract val elemTag: ClassTag[E]
    Attributes
    protected
  5. abstract def index: Index2
  6. abstract def row(i: Int): Vector[E]

    i

    the row index

    returns

    the row vector with index i

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def apply(i: Int): Vector[E]

    i

    the row index

    returns

    the row vector with index i

  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  7. final val dataHashStart: Int(1)
    Attributes
    protected
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  10. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. def hashCode(): Int
    Definition Classes
    MatrixStore → AnyRef → Any
  13. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  14. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  16. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  17. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  18. def toString(): String
    Definition Classes
    AnyRef → Any
  19. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  20. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  21. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )

Inherited from AnyRef

Inherited from Any

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