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An arbitrary-precision Decimal type for JavaScript. The library is similar to bignumber.js, but here precision is specified in terms of significant digits rather than decimal places, and all calculations are rounded to the precision (similar to Python's decimal module) rather than just those involving division.

http://mikemcl.github.io/decimal.jshttps://github.com/MikeMcl/decimal.js

Tags | bignumber arbitrary-precision significant-digits trigonometric-functions bigdecimal arbitrary precision arithmetic big number decimal float biginteger bigint bignum |

Implementation | Javascript |

License | MIT |

Platform | OS-Independent |

A JavaScript library for arbitrary-precision decimal and non-decimal arithmetic. If a smaller and simpler library is required see big.js. It's less than half the size but only works with decimal numbers and only has half the methods. It also does not allow NaN or Infinity, or have the configuration options of this library.

bignumber arbitrary-precision decimal-places bigdecimal arbitrary precision arithmetic big number decimal float biginteger bigint bignumA small, fast JavaScript library for arbitrary-precision decimal arithmetic. The little sister to bignumber.js and decimal.js. See here for some notes on the difference between them.

bignumber bigdecimal arbitrary-precision decimal-places arbitrary precision arithmetic big number decimal float biginteger bigint bignumdecimal is a high-performance, arbitrary precision, floating-point decimal library implementing the General Decimal Arithmetic specification. decimal uses Semantic Versioning. The current version is 3.3.1.

decimal arbitrary-precision dogs-of-instagram general-decimal-arithmetic money big-decimal multi-precision financial data-scienceArbitrary precision integral arithmetic for Node.js using OpenSSL. This library is based on node-bigint by substack, but instead of using libgmp, it uses the builtin bignum functionality provided by OpenSSL. The advantage is that OpenSSL is already part of Node.js, so this library does not add any external dependency whatsoever.

openssl big bignum bigint integer arithmetic precisionFloating point arbitrary precision functions. Includes addition, subtraction, multiplication, and division.

arbitrary big-float bigfloat bigint biginteger precisionArbitrary-precision fixed-point decimal numbers in go.NOTE: can "only" represent numbers with a maximum of 2^31 digits after the decimal point.

decimals precision money finance accounting go-libraryA Python library for arbitrary-precision floating-point arithmetic. Numerous other people have contributed by reporting bugs, requesting new features, or suggesting improvements to the documentation.

arbitrary-precision multiprecision floating-point special-functions numerical-integration numerical-methods plotting complex-numbers ordinary-differential-equations numerical-optimizationThis repository provides integer types of arbitrary width implemented in 100% pure Swift. The underlying representation is in base 2^64, using Array<UInt64>. This module is handy when you need an integer type that's wider than UIntMax, but you don't want to add The GNU Multiple Precision Arithmetic Library as a dependency.

Extension for Decimal data type helps to set a specific precision for decimal number also setting number of decimal places and adding insignificant zeroes

A .NET wrapper with simple object interface (written in C#) for GNU MP bignum library (http://gmplib.org/). GNU MP or (short) GMP is ... "...a free library for arbitrary precision arithmetic, operating on signed integers, rational numbers, and floating point numbers. There is...

math arithmetic bignum gmp wrapperThanks for help and feedback on this effort from Brendan Eich, Waldemar Horwat, Jaro Sevcik, Benedikt Meurer, Michael Saboff, Adam Klein, Sarah Groff-Palermo and others. BigInt is a new primitive that provides a way to represent whole numbers larger than 253, which is the largest number Javascript can reliably represent with the Number primitive.

Scheme arithmetic library for JavaScript, https://github.com/jtobey/javascript-bignum. Copyright (c) 2010, 2011, 2012 John Tobey jtobey@john-edwin-tobey.org Copyright (c) 2009 Matthew Crumley email@matthewcrumley.com Licensed under the MIT license, file LICENSE. Big integer implementation based on javascript-biginteger, https://github.com/silentmatt/javascript-biginteger. The Scheme language supports "exact" arithmetic and mixing exact with inexact numbers. Several basic operations, including add, subtract, multiply, and divide, when given only exact arguments, must return an exact, numerically correct result. They are allowed to fail due to running out of memory, but they are not allowed to return approximations the way ECMAScript operators may.

The well-optimized DifferentialEquations solvers benchmark as the some of the fastest implementations, using classic algorithms and ones from recent research which routinely outperform the "standard" C/Fortran methods, and include algorithms optimized for high-precision and HPC applications. At the same time, it wraps the classic C/Fortran methods, making it easy to switch over to them whenever necessary. It integrates with the Julia package sphere, for example using Juno's progress meter, automatic plotting, built-in interpolations, and wraps other differential equation solvers so that many different methods for solving the equations can be accessed by simply switching a keyword argument. It utilizes Julia's generality to be able to solve problems specified with arbitrary number types (types with units like Unitful, and arbitrary precision numbers like BigFloats and ArbFloats), arbitrary sized arrays (ODEs on matrices), and more. This gives a powerful mixture of speed and productivity features to help you solve and analyze your differential equations faster. For information on using the package, see the stable documentation. Use the latest documentation for the version of the documentation which contains the un-released features.

differential-equations differentialequations julia ode sde pde dae stochastic dde spde delay monte-carlo-simulation stochastic-processes stochastic-differential-equations delay-differential-equations partial-differential-equations differential-algebraic-equations simulation numerical-integration dynamical-systemsComparison of floating point values in SQL Server not always gives the expected result. With this function, comparison is only done on the first 15 significant digits. Since SQL Server only garantees a precision of 15 digits for float datatypes, this is expected to be se...

compare comparing comparison database float function sqlMPCLI is a library that brings the power of the GNU MP big numbers library to those who use CLS-compliant languages such as C#, F#, and Visual Basic. This library is great for both beginning and experienced developers to use and build upon.

big-float big-integer big-number bigint bignumLibrary to provide basic geospatial operations like distance calculation, conversion of decimal coordinates to sexagesimal and vice versa, etc. Takes 2 or 4 arguments. First 2 arguments must be objects that each have latitude and longitude properties (e.g. {latitude: 52.518611, longitude: 13.408056}). Coordinates can be in sexagesimal or decimal format. 3rd argument is accuracy (in meters). So a calculated distance of 1248 meters with an accuracy of 100 is returned as 1200 (accuracy 10 = 1250 etc.). 4th argument is precision in sub-meters (1 is meter presicion, 2 is decimeters, 3 is centimeters, etc).

geodesy distance latitude longitude elevation geolocation geo geojson geospatial lbs locationHdrHistogram supports the recording and analyzing sampled data value counts across a configurable integer value range with configurable value precision within the range. Value precision is expressed as the number of significant digits in the value recording, and provides control over value quantization behavior across the value range and the subsequent value resolution at any given level.

histogram metrics countersMaxima is a system for the manipulation of symbolic and numerical expressions, including differentiation, integration, Taylor series, Laplace transforms, ordinary differential equations, systems of linear equations, polynomials, sets, lists, vectors, matrices and tensors. Maxima yields high precision numerical results by using exact fractions, arbitrary-precision integers and variable-precision floating-point numbers. Maxima can plot functions and data in two and three dimensions.

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