coco
59 lines
2.3 KiB
C++
59 lines
2.3 KiB
C++
// Copyright (C) 2012 Davis E. King (davis@dlib.net)
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// License: Boost Software License See LICENSE.txt for the full license.
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#undef DLIB_RANDOM_HAsHING_ABSTRACT_Hh_
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#ifdef DLIB_RANDOM_HAsHING_ABSTRACT_Hh_
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#include "random_hashing_abstract.h"
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#include "murmur_hash3.h"
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namespace dlib
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{
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// ----------------------------------------------------------------------------------------
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double uniform_random_hash (
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const uint64& k1,
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const uint64& k2,
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const uint64& k3
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);
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/*!
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ensures
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- This function uses hashing to generate uniform random values in the range [0,1).
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- To define this function precisely, assume we have an arbitrary sequence of
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input triplets. Then calling uniform_random_hash() on each of them should
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result in a sequence of double values that look like numbers sampled
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independently and uniformly at random from the interval [0,1). This is true
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even if there is some simple pattern in the inputs. For example, (0,0,0),
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(1,0,0), (2,0,0), (3,0,0), etc.
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- This function is deterministic. That is, the same output is always returned
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when given the same input.
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!*/
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// ----------------------------------------------------------------------------------------
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double gaussian_random_hash (
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const uint64& k1,
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const uint64& k2,
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const uint64& k3
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);
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/*!
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ensures
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- This function uses hashing to generate Gaussian distributed random values
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with mean 0 and variance 1.
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- To define this function precisely, assume we have an arbitrary sequence of
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input triplets. Then calling gaussian_random_hash() on each of them should
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result in a sequence of double values that look like numbers sampled
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independently from a standard normal distribution. This is true even if
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there is some simple pattern in the inputs. For example, (0,0,0), (1,0,0),
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(2,0,0), (3,0,0), etc.
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- This function is deterministic. That is, the same output is always returned
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when given the same input.
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!*/
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// ----------------------------------------------------------------------------------------
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}
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#endif // DLIB_RANDOM_HAsHING_ABSTRACT_Hh_
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