The data type vector (matrix) represents a vector (matrix) of double values.

Example of double valued vectors and matrices

Strengths

• many useful functions for linear algebra predefined, so direct computation with vectors and matrices is possible
• very convenient

Disadvantages

• operations on vectors and matrices incur rounding errors
• slower than one-dimensional (two-dimensional) C++-arrays

Tips

See also:

Vectors and Matrices with Integer Entries

Rational Vectors

Integers of Arbitrary Length

Algebraic Real Numbers

Rational Numbers

Big Floatingpoint Numbers

Floating Point Filter

Interval Arithmetic

Functions of numerical analysis

Manual Entries:

Double Valued Vectors

Double Valued Matrices