Applications and libraries/Mathematics

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.

Libraries for numerical algorithms and mathematics

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.

Wrapper to CLAPACK

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

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 numbers 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.

Exact real arithmetic refers to an implementation of the computable real numbers. There are several implementations of exact real arithmetic in Haskell.

BigFloat

BigFloat is an implementation by Martin Guy. It works with streams of decimal digits (strictly in the range from 0 to 9) and a separate sign. The produced digits are always correct. Output is postponed until the code is certain what the next digit is. This sometimes means that no more data is output.

COMP

COMP is an implementation by Yann Kieffer. The work is in beta, and the library isn't available yet.

Era

Era is an implementation (in Haskell 1.2) by David Lester. It is quite fast, possibly the fastest Haskell implementation. At 220 lines it is also the shortest. Probably the shortest implementation of exact real arithmetic in any language.

Here is a mirror: http://darcs.augustsson.net/Darcs/CReal/

Few Digits

Few Digits is an implementation by Russell O'Connor. This is a prototype of the implementation he intendeds to write in Coq. Once the Coq implementation is complete, the Haskell code could be extracted producing an implementation that would be proved correct.

IC-Reals

IC-Reals is an implementation by Abbas Edalat, Marko Krznarć and Peter J. Potts. This implementation uses linear fractional transformations.

NumericPrelude/Positional

Represents a real number as pair (exponent,[digit]), where the digits are Ints in the open range (-basis,basis). There is no need for an extra sign item in the number data structure. The basis can range from 10 to 1000. (Binary representations can be derived from the hexadecimal representation.) Showing the numbers in traditional format (non-negative digits) fails for fractions ending with a run of zeros. However the internal representation with negative digits can always be shown and is probably more useful for further processing. An interface for the numeric type hierarchy of the NumericPrelude project is provided.

It features

basis conversion
basic arithmetic: addition, subtraction, multiplication, division
algebraic arithmetic: square root, other roots (no general polynomial roots)
transcendental arithmetic: pi, exponential, logarithm, trigonometric and inverse trigonometric functions

NumericPrelude: positional numbers

Type class hierarchies

There are several approaches to improve the numeric type class hierarchy.

Dylan Thurston and Henning Thielemann's 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.

Jerzy Karczmarczuk's approach

Serge D. Mechveliani's Basic Algebra proposal

Andrew Frank's approach: The proposal: ftp://ftp.geoinfo.tuwien.ac.at/frank/numbersPrelude_v1.pdf

Haskell Prime: Ongoing efforts for the language revision

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!

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

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)

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.

Sinc function

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.

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

Mirror of the following numeric modules by Jan Skibinski

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)