rl_matrix 0.1.0

Provides an immutable implementation for matrices of real numbers in Dart, based on Java's JAMA package.

RL-matrix

Provides an immutable implementation for matrices of real numbers in Dart, based on Java's JAMA package.

Usage

Example:

var matrix = new Matrix([1, 2, 3,
                         4, 5, 6], 3);
var transpose = matrix.transpose;
var product = matrix * transpose;

For a complete overview of the operations available, have a look at the API documentation.

Dimension specific matrix classes

You may want to create a custom matrix class, either to be able to leverage Dart's type checker to enforce specific matrix dimensions, or to override certain algorithms with more effective dimension specific implementations. The abstract GenericMatrix class can be extended for this purpose. The GenericMatrix class takes 2 type parameters: the extending class' type (a self-bound) and the extending class' transpose type. Also, two abstract methods will need to be defined:

• withValues: needs to return a new matrix of the same type and with the same dimensions, with the given values.
• transposeWithValues: needs to return a new matrix of the matrix's transpose type, with transposed dimensions, with the given values.

The following example implements a column vector:

class ColumnVector extends GenericMatrix<ColumnVector, RowVector> {
  ColumnVector(List<num> values) : super.fromList(values, 1);

  ColumnVector withValues(List<num> newValues) =>
    new ColumnVector(newValues);

  RowVector transposeWithValues(List<num> newValues) =>
    new RowVector(newValues);
}