Octave’s built-in numeric objects include real, complex, and integer
scalars and matrices. All built-in floating point numeric data is
currently stored as double precision numbers. On systems that use the
IEEE floating point format, values in the range of approximately
2.2251e-308 to 1.7977e+308
can be stored, and the relative precision is approximately
2.2204e-16.
The exact values are given by the variables realmin,
realmax, and eps, respectively.
Matrix objects can be of any size, and can be dynamically reshaped and resized. It is easy to extract individual rows, columns, or submatrices using a variety of powerful indexing features. See Index Expressions.
See Numeric Data Types, for more information.