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Results 12,79112,800 of 17,773 for comment.zh_CN%3A%E6%8E%A7%E5%88%B6%E5%8F%B0.(0.055 seconds)
math/fpconst-0.7.2 (Score: 1.5577191E-4)
Utilities for handling IEEE 754 floating point special values
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.
math/nzmath-1.2.0 (Score: 1.5577191E-4)
Number theory oriented calculation system
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.
math/gmpy-1.17 (Score: 1.5577191E-4)
Python Extension that Wraps the GMP Library
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.
math/physcalc-2.4 (Score: 1.5577191E-4)
Flexible calculator that behaves much like units(1)
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.
math/prng-3.0.2 (Score: 1.5577191E-4)
Portable, high-performance ANSI-C pseudorandom number generators
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.
math/luminol-0.3.1 (Score: 1.5577191E-4)
Light weight python library for time series data analysis
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.
math/sivp-1.0.0.r286 (Score: 1.5577191E-4)
Scilab Image and Video Processing Toolbox
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.
math/stp-1436 (Score: 1.5577191E-4)
Decision Procedure for Bitvectors and Arrays
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.
math/timbl-6.4.2 (Score: 1.5577191E-4)
Tilburg Memory Based Learner
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.
math/crlibm-1.0.b4 (Score: 1.5577191E-4)
Correctly-rounded mathematics library
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.