Procedural

The procedural interface in EJML provides access to all of its capabilities and provides much more control over which algorithms are used and when memory is created. The downside to this increased control is the added difficulty in programming, kinda resembles writing in assembly. Code can be made very efficient, but managing all the temporary data structures can be tedious.

The procedural API processes DenseMatrix matrix types. A complete list of these data types is listed below. These classes themselves only provide very basic operators for accessing elements within a matrix and well as its size and shape. The complete set of functions for manipulating DenseMatrix are available in various Ops classes, described below.

Internally all dense matrix classes store the matrix in a single array using a row-major format. Fixed sized matrices and vectors unroll the matrix, where each element is a matrix parameter. This can allow for much faster access and array overhead. However if fixed sized matrices get too large then performance starts to drop due to what I suppose is CPU caching issues.

While it has a sharper learning curve and takes more time to learn it is the most powerful API.

• List of code examples

DenseMatrix Types

Name	Description
DMatrixRMaj	Dense Double Real Matrix
FMatrixRMaj	Dense Float Real Matrix
ZDMatrixRMaj	Dense Double Complex Matrix
CDMatrixRMaj	Dense Float Complex Matrix
FixedMatrixNxN_F64F	Fixed Size Dense Real Matrix
FixedMatrixN_F64F	Fixed Size Dense Real Vector

Accessors

• get( row , col )
• set( row , col , value )
  • Returns or sets the value of an element at the specified row and column.
• unsafe_get( row , col )
• unsafe_set( row , col , value )
  • Faster version of get() or set() that does not perform bounds checking.
• get( index )
• set( index )
  • Returns or sets the value of an element at the specified index. Useful for vectors and element-wise operations.
• iterator( boolean rowMajor, int minRow, int minCol, int maxRow, int maxCol )
  • An iterator that iterates through the sub-matrix by row or by column.

Operations

Several "Ops" classes provide functions for manipulating *MatrixRMaj and most are contained inside of the org.ejml.dense.row package. The list below is provided for real matrices. Other matrix can be found by changing the suffix.

Suffix	Matrix Type
DDRM	Dense Double Real
FDRM	Dense Float Real
ZDRM	Dense Double Complex
CDRM	Dense Float Complex

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Provides the most common matrix operations.

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Provides operations related to eigenvalues and eigenvectors.

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Used to compute various features related to a matrix.

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Operations for computing different matrix norms.

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Operations related to singular value decompositions.

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Grab bag for operations which do not fit in anywhere else.

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Used to create different types of random matrices.

For fixed sized matrices FixedOpsN is provided, where N = 2 to 6. FixedOpsN is similar in functionality to CommonOps.