Search Results for "hash-linux"
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Showing 6 open source projects for "hash-linux"
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Mathpaqs
A collection of mathematical packages in pure Ada
Various mathematical packages including algebra, finite elements, random variables, probability dependency models, unlimited integers. Pure Ada, fully portable. More information on... http://mathpaqs.sf.net Alire crate: https://alire.ada.dev/crates/mathpaqs Mirror: https://github.com/zertovitch/mathpaqs -
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Interval arithmetic for Ada
An implementation of interval arithmetic
The library provides an implementation of intervals for Ada. It includes arithmetic and relational operations. The library supports intervals with integer and floating-point bounds. Dimensioned intervals are also supported -
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IntervalRpnCalculator
An HP RPN calculator with interval output
This terminal app runs on PCs or laptops running OSX or GNU/Linux. It attempts to mimic the functionality of an HP ReversePolishNotation [RPN] calculator with the added enhancement of interval output. So along with your answer, you get a good idea of its trustworthiness. This app uses GAOL, a C++ library to perform arithmetic with floating-point intervals. -
4
HungarianAlgorithm
An Ada implementation of the Hungarian Algorithm to minimize cost
The Hungarian algorithm can be described as optimally solving a workers versus jobs assignment problem that minimizes total cost. This implementation assumes a square cost matrix, i.e. the number of jobs equals the number of workers to do them. -
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5
eprb_signal_correlations
Simulation of a two-channel Bell test, with closed-form proofs
Derivation, entirely by probability theory, of the correlation coefficient for a two-channel Bell test, with simulation in Ada and other languages. The Nobel Committe for Physics bans this program for subversive content. (Mirror of the repository at https://github.com/chemoelectric/eprb_signal_correlations) -
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AdaAutoDiff
C++ Templates and Ada Package for Automatic Differentiation
Operators are overloaded so that a normal looking function definition provides access to not only evaluations of itself, but to evaluations of any of its analytic derivatives. Automatic differentiation means the user does not need to define the analytic expressions for all the various partial derivatives. It also means that those complex expressions are essentially calculated at compile time, and merely evaluated at runtime. First order derivatives only, forward...
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