# Difference between revisions of "Applications and libraries/Mathematics"

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:Frederik Eaton's library for statically checked matrix manipulation in Haskell | :Frederik Eaton's library for statically checked matrix manipulation in Haskell | ||

− | ;Indexless linear algebra algorithms by Jan Skibinski, see below | + | ;Indexless linear algebra |

+ | :algorithms by Jan Skibinski, see below | ||

+ | See also: [[Linear algebra|Design discussions]] | ||

=== Number representations === | === Number representations === |

## Revision as of 07:50, 22 October 2006

*The copyright status of this work is not known. Please help resolve this on the talk page.*

*This page contains a list of libraries and tools in a certain category. For a comprehensive list of such pages, see Applications and libraries.*

## Contents

## Libraries for numerical algorithms and mathematics

- Haskell for Maths
- David Amos' collection of math libraries in Haskell - including number theory, commutative algebra, combinatorics, permutation groups and more.

### Linear algebra

- GSLHaskell
- High level functional interface to standard linear algebra computations and other numerical algorithms based on the GNU Scientific Library. Alternative download site.

- Digital Signal Processing
- Modules for matrix manipulation, digital signal processing, spectral estimation, and frequency estimation.

- Index-aware linear algebra
- Frederik Eaton's library for statically checked matrix manipulation in Haskell

- Indexless linear algebra
- algorithms by Jan Skibinski, see below

See also: Design discussions

### Number representations

- Decimal arithmetic library
- An implementation of real decimal arithmetic, for cases where the binary floating point is not acceptable (for example, money).

- Exact real arithmetic
- is an interesting area: it is a deep connection between numeric methods and deep theoretic fondations of algorithms (and mathematics). Its topic:
*computable real number*s raise a lot of interesting questions rooted in mathematical analysis, arithmetic, but also computability theory (see numbers-as-programs approaches). Computable reals can be achieved by many approaches -- it is not one single theory.

### other

- Geometric Algorithms
- A small Haskell library, containing algorithms for two-dimensional convex hulls, triangulations of polygons, Voronoi-diagrams and Delaunay-triangulations, the QEDS data structure, kd-trees and range-trees.

- Papers by Jerzy Karczmarczuk
- Some interesting uses of Haskell in mathematics, including functional differentiation, power series, continued fractions.

- DoCon - Algebraic Domain Constructor
- A Computer Algebra System

- HaskellMath
- The HaskellMath library is a sandbox for experimenting with mathematics algorithms. So far I've implemented a few quantitative finance models (Black Scholes, Binomial Trees, etc) and basic linear algebra functions. Next I might work on either computer algebra or linear programming. All comments welcome!

- Various math stuff by Henning Thielemann
- This is some unsorted mathematical stuff including: GNUPlot wrapper, portable grey map (PGM) image reader and writer, simplest numerical integration, differentiation, zero finding, interpolation, solution of differential equations, combinatorics, some solutions of math riddles, computation of fractal dimensions of iterated function systems (IFS)

- Numeric Prelude
- Experimental revised framework for numeric type classes. Needs hiding of Prelude, overriding hidden functions like fromInteger and multi-parameter type classes. Probably restricted to GHC.

- Adaptive Simulated Annealing
- A Haskell interface to Lester Ingber's adaptive simulating annealing code.

- Number Theory Library
- Andrew Bromage's Haskell number theory library, providing operations on primes, fibonacci sequences and combinatorics.

- Hmm: Haskell Metamath
- Hmm is a small Haskell library to parse and verify Metamath databases.

- Probabilistic Functional Programming
- The PFP library is a collection of modules for Haskell that facilitates probabilistic functional programming, that is, programming with stochastic values. The probabilistic functional programming approach is based on a data type for representing distributions. A distribution represent the outcome of a probabilistic event as a collection of all possible values, tagged with their likelihood. A nice aspect of this system is that simulations can be specified independently from their method of execution. That is, we can either fully simulate or randomize any simulation without altering the code which defines it.

- Boolean
- A general boolean algebra class and some instances for Haskell.

- HODE
- HODE is a binding to the Open Dynamics Engine. ODE is an open source, high performance library for simulating rigid body dynamics.

- Numerics with fractions
*(via Internet Archive since 10/06/2003).* - Roots of polynomials
*(via Internet Archive since 10/06/2003).*It implements the well known Laguerre's method for finding complex roots of polynomials. - Indexless linear algebra algorithms
*(via Internet Archive since 10/06/2003).*Orthogonalization, solution of linear equations, eigenvalues and eigenvectors. - State vector evolution
*(via Internet Archive since 10/06/2003)* - Short study of fuzzy oscillator
*(via Internet Archive since 10/06/2003)* - N-dimensional tensors
*(via Internet Archive since 10/06/2003)*

- HGAL
- An haskell implementation of Brendan McKay's algorithm for graph canonic labeling and automorphism group. (aka Nauty)