Showing 4 open source projects for "big integer library"

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  • 1
    RubyMoney

    RubyMoney

    A Ruby Library for dealing with money and currency conversion

    RubyMoney is a widely adopted Ruby library that provides a robust and precise way to represent and manipulate monetary values in software applications. It is designed around the principle that financial calculations must avoid floating point errors, and therefore represents values internally as integers in the smallest currency unit, such as cents. The library introduces a Money class that encapsulates both the numeric value and the associated currency, ensuring that operations are always...
    Downloads: 1 This Week
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  • 2
    ThetaGang

    ThetaGang

    ThetaGang is an IBKR bot for collecting money

    ThetaGang is an IBKR trading bot for collecting premiums by selling options using "The Wheel" strategy. The Wheel is a strategy that surfaced on Reddit but has been used by many in the past. This bot implements a slightly modified version of The Wheel, with my own personal tweaks. The strategy, as implemented here, does a few things differently from the one described in the post above. For one, it's intended to be used to augment a typical index-fund-based portfolio with specific asset...
    Downloads: 0 This Week
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  • 3
    currency.js

    currency.js

    A javascript library for handling currencies

    currency.js is a lightweight JavaScript library designed to handle currency values with precision by avoiding common floating point arithmetic issues inherent in JavaScript. It achieves this by internally representing values as integers, which allows for accurate calculations even when dealing with decimals. The library provides a simple and intuitive API for performing operations such as addition, subtraction, multiplication, and division on monetary values. It is optimized for performance...
    Downloads: 0 This Week
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  • 4
    Bat2015

    Bat2015

    Bachelor of Science (Informatik)

    The toolkit glpk supports methods for mixed integer linear programming (MILP). These methods solve Capital Budgeting Problems (CBP). Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections. Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading. We create a distributed system with Apache thrift and the C-API of glpk. Now, it is possible to use as many cores in...
    Downloads: 0 This Week
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