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Release calc version 2.11.5t3
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82
help/rand
82
help/rand
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NAME
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rand - additive 55 shuffle pseudo-random number generator
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rand - subtractive 100 shuffle pseudo-random number generator
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SYNOPSIS
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rand([[min, ] max])
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@@ -11,7 +11,7 @@ TYPES
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return integer
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DESCRIPTION
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Generate a pseudo-random number using an additive 55 shuffle generator.
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Generate a pseudo-random number using an subtractive 100 shuffle generator.
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We return a pseudo-random number over the half closed interval [min,max).
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By default, min is 0 and max is 2^64.
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@@ -38,36 +38,40 @@ DESCRIPTION
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when seeded with the same seed.
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The rand generator has two distinct parts, the additive 55 method
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and the shuffle method. The additive 55 method is described in:
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The rand generator has two distinct parts, the subtractive 100 method
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and the shuffle method. The subtractive 100 method is described in:
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"The Art of Computer Programming - Seminumerical Algorithms"
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by Knuth, Vol 2, 2nd edition (1981), Section 3.2.2, page 27,
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Algorithm A.
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"The Art of Computer Programming - Seminumerical Algorithms",
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Vol 2, 3rd edition (1998), Section 3.6, page 186, formula (2).
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The period and other properties of the additive 55 method
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The "use only the first 100 our of every 1009" is described in
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Knuth's "The Art of Computer Programming - Seminumerical Algorithms",
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Vol 2, 3rd edition (1998), Section 3.6, page 188".
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The period and other properties of the subtractive 100 method
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make it very useful to 'seed' other generators.
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The shuffle method is feed values by the additive 55 method.
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The shuffle method is feed values by the subtractive 100 method.
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The shuffle method is described in:
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"The Art of Computer Programming - Seminumerical Algorithms"
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by Knuth, Vol 2, 2nd edition (1981), Section 3.2.2, page 32,
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Algorithm B.
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"The Art of Computer Programming - Seminumerical Algorithms",
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Vol 2, 3rd edition (1998), Section 3.2.2, page 34, Algorithm B.
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The rand generator has a good period, and is fast. It is reasonable as
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generators go, though there are better ones available. The shuffle
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method has a very good period, and is fast. It is fairly good as
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generators go, particularly when it is feed reasonably random
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numbers. Because of this, we use feed values from the additive 55
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numbers. Because of this, we use feed values from the subtractive 100
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method into the shuffle method.
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The rand generator uses two internal tables:
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additive table - 55 entries of 64 bits used by the additive 55 method
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additive table - 100 entries of 64 bits used by the subtractive
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100 method
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shuffle table - 256 entries of 64 bits used by the shuffle method
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feed by the additive 55 method from the additive table
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feed by the subtractive 100 method from the
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subtractive table
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The goals of this generator are:
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@@ -95,21 +99,21 @@ DESCRIPTION
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a standard against which other generators may be measured.
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The Rand book of numbers was groups into groups of 20 digits. The
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first 55 groups < 2^64 were used to initialize the default additive
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first 100 groups < 2^64 were used to initialize the default additive
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table. The size of 20 digits was used because 2^64 is 20 digits
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long. The restriction of < 2^64 was used to prevent modulus biasing.
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The shuffle table size is longer than the 100 entries recommended
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by Knuth. We use a power of 2 shuffle table length so that the
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shuffle process can select a table entry from a new additive 55
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shuffle process can select a table entry from a new subtractive 100
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value by extracting its low order bits. The value 256 is convenient
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in that it is the size of a byte which allows for easy extraction.
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We use the upper byte of the additive 55 value to select the
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We use the upper byte of the subtractive 100 value to select the
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shuffle table entry because it allows all of 64 bits to play a part
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in the entry selection. If we were to select a lower 8 bits in the
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64 bit value, carries that propagate above our 8 bits would not
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impact the additive 55 generator output.
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impact the subtractive 100 generator output.
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It is 'nice' when a seed of "n" produces a 'significantly different'
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sequence than a seed of "n+1". Generators, by convention, assign
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@@ -161,7 +165,7 @@ DESCRIPTION
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The values 'a' and 'c for randreseed64 are taken from the Rand book
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of numbers. Because m=2^64 is 20 decimal digits long, we will
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search the Rand book of numbers 20 at a time. We will skip any of
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the 55 values that were used to initialize the additive 55
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the 100 values that were used to initialize the subtractive 100
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generators. The values obtained from the Rand book are:
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a = 6316878969928993981
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@@ -190,36 +194,40 @@ DESCRIPTION
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The truly paranoid might suggest that my claims in the MAGIC NUMBERS
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section are a lie intended to entrap people. Well they are not, but
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you need not take my (Landon Curt Noll) word for it.
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if you that paranoid why would you use a non-cryprographically strong
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pseudo-random number generator in the first place? You would be
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better off using the random() builtin function.
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The random numbers from the Rand book of random numbers can be
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The two constants that were picked from the Rand Book of Random Numbers
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The random numbers from the Rand Book of Random Numbers can be
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verified by anyone who obtains the book. As these numbers were
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created before I (Landon Curt Noll) was born (you can look up my
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birth record if you want), I claim to have no possible influence on
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their generation.
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created before I (Landon Curt Noll) was born (you can look up
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my birth record if you want), I claim to have no possible influence
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on their generation.
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There is a very slight chance that the electronic copy of the
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Rand book that I was given access to differs from the printed text.
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I am willing to provide access to this electronic copy should
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anyone wants to compare it to the printed text.
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Rand Book of Random Numbers that I was given access to differs
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from the printed text. I am willing to provide access to this
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electronic copy should anyone wants to compare it to the printed text.
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When using the a55 generator, one may select your own 55 additive
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When using the s100 generator, one may select your own 100 subtractive
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values by calling:
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srand(mat55)
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srand(mat100)
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and avoid using my magic numbers. Of course, you must pick good
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additive 55 values yourself!
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and avoid using my magic numbers. The randreseed64 process is NOT
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applied to the matrix values. Of course, you must pick good subtractive
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100 values yourself!
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EXAMPLE
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> print srand(0), rand(), rand(), rand()
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RAND state 14384206130809570460 10173010522823332484 5713611208311484212
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RAND state 2298441576805697181 3498508396312845423 5031615567549397476
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> print rand(123), rand(123), rand(123), rand(123), rand(123), rand(123)
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17 104 74 47 48 46
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106 59 99 99 25 88
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> print rand(2,12), rand(2^50,3^50), rand(0,2), rand(-400000, 120000)
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11 170570393286648531699560 1 -96605
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2 658186291252503497642116 1 -324097
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LIMITS
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min < max
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@@ -248,8 +256,8 @@ SEE ALSO
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## received a copy with calc; if not, write to Free Software Foundation, Inc.
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## 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA.
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##
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## @(#) $Revision: 29.2 $
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## @(#) $Id: rand,v 29.2 2000/06/07 14:02:33 chongo Exp $
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## @(#) $Revision: 29.3 $
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## @(#) $Id: rand,v 29.3 2001/04/14 22:46:33 chongo Exp $
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## @(#) $Source: /usr/local/src/cmd/calc/help/RCS/rand,v $
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##
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## Under source code control: 1996/01/01 02:16:09
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