# Numerical Analysis Library

A Numerical Analysis Library is a numerical analysis software that is a domain-specific software library (that implements and provides an interface to numerical analysis algorithms).

**AKA:**Numerical Approximation Library.**Context:**- It can be used to solve a Numerical Analysis Task.
- It can be used to build a Numerical Analysis-based System.
- It can be a member of a Numerical Analysis Environment.

**Example(s):**- a Linear Algebra Library, if it includes Linear Algebra Algorithms.
- a Statistical Analysis Library, if includes Statistical Analysis Algorithms.
- a Numerical Optimization Library, if it includes Numerical Optimization Algorithms.
- a Python, Scala, R, Java, C++, Fortran, ...
- …

**Counter-Example(s):**- a Numerical Analysis Development Environment, such as MATLAB, Mathematica, Maple, GNU Octave, SAS, and R Development Environment.
- Numerical Analysis Programming Environment, like MATLAB.
- Numerical Software Package, Numerical Software Analysis, Numerical Analysis.
- a Statistics Library.
- a Machine Learning Library.

**See:**Numerical Linear Algebra, Numerical Analysis Programming Language, Systems of Linear Equations, Numerical Methods For Linear Least Squares, Eigendecomposition of a Matrix, Singular Value Decomposition, Matrix Factorization, LU Decomposition, QR Decomposition, Cholesky Decomposition, Schur Decomposition.

## References

### 2014

- http://en.wikipedia.org/wiki/List_of_numerical_libraries
- This is a list of notable
**numerical libraries**, which are libraries used in software development for performing numerical calculations. It is not a complete list of numerical libraries, but is instead a list of numerical libraries with articles on Wikipedia, with few exceptions.The Choice of a typical library depends on a diverse range of requirements such as: desired features (for e.g.: large dimensional linear algebra, parallel computation, partial differential equations), commercial/opensource nature, readability of API, portability or platform/compiler dependence (for e.g.: Linux, Windows, Visual C++, GCC), performance in speed, ease-of-use, continued support from developers, standard compliance, specialized optimization in code for specific application scenarios or even the size of the code-base to be installed.

As we find comprehensive surveys rarely available, there is almost always (at least initially) a difficult choice among a number of possible libraries. Often it tends to be at the discretion of the user based on his own taste and comforts, only due to the lack of proper information.

- This is a list of notable

### 2011

- http://en.wikipedia.org/wiki/List_of_numerical_libraries
**List of numerical libraries**used for performing numerical calculations: