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								[section:discrete_log Discrete Log]
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								[section Introduction]
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								The discrete log is the inverse of modular exponentiation.
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								To wit, if /a/[super /x/] = /b/ mod /p/, then we write /x/ = log[sub a](/b/).
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								Fast algorithms for modular exponentiation exists, but currently there are no polynomial time algorithms known for the discrete logarithm,
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								a fact which is the basis for the security of Diffie-Hellman key exchange.
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								Despite having exponential complexity in the number of bits, the algorithms for discrete logarithm provided by Boost are still useful,
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								for there are many uses of the discrete logarithm outside of cryptography which do not require massive inputs.
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								The algorithms provided by Boost should be acceptable up to roughly 32 bits.
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								[endsect]
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								[section Synopsis]
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								    #include <boost/integer/discrete_log.hpp>
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								    namespace boost { namespace integer {
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								    template<class Z>
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								    boost::optional<Z> trial_multiplication_discrete_log(Z base, Z arg, Z p);
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								    template<class Z>
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								    class bsgs_discrete_log
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								    {
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								    public:
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								        bsgs_discrete_log(Z base, Z p);
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								        boost::optional<Z> operator()(Z arg) const;
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								    };
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								    }}
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								[endsect]
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								[section Usage]
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								Boost provides two algorithms for the discrete log: Trial multiplication and the "baby-step giant-step" algorithm.
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								Basic usage is shown below:
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								    auto logarithm = trial_multiplication_discrete_log(2, 3, 5);
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								    if (logarithm)
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								    {
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								        std::cout << "log_2(3) mod 5 = " << l.value() << std::endl;
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								    }
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								    auto log_2 = bsgs_discrete_log(2, 5);
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								    int log = log_2(3).value();
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								    std::cout << "log_2(3) mod 5 = " << log << std::endl;
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								Of these, trial multiplication is more general, requires [bigo](/p/) time and [bigo](1) storage.
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								The baby-step giant step algorithm requires [bigo]([radic] p) time and [bigo]([radic] p) storage,
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								and is slightly less general as the base must be coprime to the the modulus.
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								Let's illustrate this with a few examples: Suppose we wish to compute log[sub 2](3) mod 4.
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								Since 2[super /x/] = 3 mod 4 has no solution, the result is undefined.
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								    boost::optional<int> l = trial_multiplication_discrete_log(2, 3, 4);
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								    if (!l)
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								    {
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								        std::cout << "log_2(3) mod 4 is undefined!\n";
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								    }
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								The baby-step giant-step algorithm is less polite when the base and the modulus are not coprime:
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								    try
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								    {
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								        auto log_2 = bsgs_discrete_log(2, 4);
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								    }
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								    catch(std::exception const & e)
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								    {
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								        // e.what() is gonna tell you 2 and 4 are not coprime:
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								        std::cout << e.what() << std::endl;
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								    }
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								The baby-step giant-step discrete log will *never* compute a logarithm when the base and modulus are not coprime,
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								because it relies on the existence of modular multiplicative inverses.
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								However, discrete logarithms can exist even when the base and modulus share a common divisor greater than 1.
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								For example, since 2[super 1] = 2 mod 4, log[sub 2](2) = 1.
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								Trial multiplication successfully recovers this value, and `bsgs_discrete_log` blows up.
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								[endsect]
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								[section References]
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								Wagstaff, Samuel S., ['The Joy of Factoring], Vol. 68. American Mathematical Soc., 2013.
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								[endsect]
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								[endsect]
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								[/
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								Copyright 2018 Nick Thompson.
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								Distributed under the Boost Software License, Version 1.0.
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								(See accompanying file LICENSE_1_0.txt or copy at
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								http://www.boost.org/LICENSE_1_0.txt).
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								]
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