This python module implements constants and functions for working with
IEEE754 double-precision special values. It provides constants for
Not-a-Number (NaN), Positive Infinity (Inf), and Negative Infinity (-Inf),
as well as functions to test for these values.
NZMATH is a Python based number theory oriented calculation system.
The centre of development in origin is Tokyo Metropolitan University.
It is freely available and distributed under the BSD license.
A C-coded Python extension module that wraps the GMP library to provide
to Python code fast multiprecision arithmetic (integer, rational, and
float), random number generation, advanced number-theoretical functions,
and more.
Physcalc is a neat mathematical calculator that does conversions
from many different units in many forms, and is extremely flexible
as far as specifying math problems go. You can also add your own
types of conversions.
PRNG is a collection of portable, high-performance ANSI-C implementations of
pseudorandom number generators such as linear congruential, inversive
congruential, and explicit inversive congruential random number generators (LCG,
ICG and EICG, respectively) created by Otmar Lendl and Josef Leydold.
Luminol is a light weight python library for time series data analysis.
The two major functionalities it supports are anomaly detection and
correlation. It can be used to investigate possible causes of anomaly.
SIVP stands for Scilab Image and Video Processing toolbox. SIVP
intends to do image processing and video processing tasks. SIVP is
meant to be a useful, efficient, and free image and video processing
toolbox for Scilab.
STP is a constraint solver (also referred to as a decision procedure or
automated prover) aimed at solving constraints generated by program analysis
tools, theorem provers, automated bug finders, intelligent fuzzers and model
checkers. STP has been used in many research projects at Stanford, Berkeley,
MIT, CMU and other universities. It is also being used at many companies such
as NVIDIA, some startup companies, and by certain government agencies.
The input to STP are formulas over the theory of bit-vectors and arrays (This
theory captures most expressions from languages like C/C++/Java and Verilog),
and the output of STP is a single bit of information that indicates whether
the formula is satisfiable or not. If the input is satisfiable, then it also
generates a variable assignment to satisfy the input formula.
The TiMBL software package is a fast, decision-tree-based implementation
of k-nearest neighbor classification. The package includes the IB1, IB2,
TRIBL, TRIBL2, and IGTree algorithms, and offers various weighting metrics.
CRlibm is an efficient and proven mathematical library, which
provides implementations of the double-precision C99 standard
elementary functions, correctly rounded in the four IEEE-754 rounding
modes, and sufficiently efficient in average time, worst-case time,
and memory consumption to replace existing libms transparently.
The distribution includes extensive documentation with the proof
of each function (currently more than 100 pages), as well as all
the Maple scripts used to develop the functions. This makes this
library an excellent tutorial on software elementary function
development.
CRlibm also includes a lightweight library for multiple precision,
scslib (Software Carry Save Library). This library has been developed
specifically to answer the needs of the CRlibm project: precision
up to a few hundred bits, portability, compatibility with IEEE
floating-point standards, performance comparable to or better than
GMP, and a small footprint. It uses a data-structure which allows
carry propagations to be avoided during multiple-precision
multiplications, and supports addition, subtraction, multiplication,
and conversions.