This generator is sometimes called the `Lehmer' generator, in honor of its originator, D.H. Lehmer, the father of electronic computational number theory [1] . Distinguish between mixed LCG and multiplicative LCG. CHAPTER 16 Pseudo-Random-Sequence Generators Table 16.1 Constants for Linear Congruential Generators Overflow At: a b m 220 106 1283 221 211 1663 222 421 1663 223 430 2531 936 1399 1366 1283 224 171 11213 Question 13.15」の回答中にある[4]。, C言語による実装例が、POSIXのrandの解説中（informative扱いのEXAMPLESとして、であるが）にあるため[5]か、2017年現在のウェブコンテンツなどにも時折見られるが（例えばRosetta Codeの線形合同法のサンプルに「BSD formula」という名前で示されている）前節のPark & Millerよりも質が悪い。特に（POSIXにあるコードでは下位桁を捨てて回避しているが）、最下位ビットは周期2、次のビットは周期4、次のビットは周期8、……のように、下位桁に完全な規則性がある。また、由来は不詳だが少なくともBSDよりは古く、Unixバージョン7の /usr/src/libc/gen/rand.c に見られる。, http://pubs.opengroup.org/onlinepubs/9699919799/functions/rand.html#tag_16_473_06_02, https://ja.wikipedia.org/w/index.php?title=線形合同法&oldid=73652598, 状態を記憶するのに必要なメモリの他には、作業用のワーキングメモリをほとんど必要としない。実用的な擬似乱数アルゴリズムでは最少の部類に属する。, 問題点は多いが、どのような問題があるか、どうやって回避すればいいかが十分に研究されている（ただし、回避しなければならない使い方を回避していなかった事例を挙げて、悪い結果を生成系のせいにされていることがしばしば見られる）。, Park and Miller, "Random Number Generators: Good Ones are Hard to Find". The linear congruential generator is a very simple example of a random number generator . Today, the most widely used pseudorandom number generators are linear congruential generators (LCGs). g#����G%*����u�u3����n���|*3SIs����k �k���N-���Ex'c A������#��>�Y�6�C�q���q���ԡ�bŉ�3�LF�+s�M�pV���(T���^�ė�mY�ܺ���7p`���ĭ�YxO���:�'Jg� �dXh:_�`|\c��-ծ��~��j�����(.�s�Od@!܁G�Z�+��P�04�*���Q��T�D�|�ܛ:>� ��z᧑� _D9���`JA{�ya!N3�� N���҉ӓ�i�K��et0%\��s�k.qt�'�CM�¥�8Q*@$�ǘ�1�k�g�(3��L[�����ˡ�b�$��4�������>S_�+�5g����>F��8��U�k���)\j�E�g��&|� Linear Congruential Method The linear congruential method produces a sequence of integers between zero and m-1 according to the following recursive relationship: The initial value is called the seed; The terms multiplicative congruential method and mixed congruential method are used by many authors to denote linear congruential methods with c = 0 and c ≠ 0. The purpose of the generator is to produce a sequence of integers between 0 and M-1 by starting with x 0 = c and iterating: x n+1 = (a * x n + b) % M In C, the % operator means modulus or remainder: this keeps the iterates between 0 and M-1. A、B、Mは 定数 で、M > A、M>B、A> 0 、B≥0であ … Furthermore we call s :Z/mZ −→ Z/mZ,s(x)=ax+b mod m. x n = s(x About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Linear Congruential Method (LCM). Given the same RandSeed value it generates the same sequence of random numbers as Delphi. Obviously, the linear congruential generator defined in () can generate no more than different numbers . "Pseudo-random" means that the numbers are not really random. Here is a Delphi compatible example in Free Pascal based on the information in the table above. A linear congruential generator (LCG) is a simple pseudo-random number generator - a simple way of imitating the. The linear congruential generator is today’s most widely used and most thoroughly understood pseudorandom number generator. stream Free Pascal uses a Mersenne Twister as its default pseudo random number generator whereas Delphi uses a LCG. A multiplicative linear congruential generator (MLCG) is de ned byarecurrence of the form (1) xn = axn−1 mod m where m and a are integers called themodulus and the multiplier, respectively, and xn 2 Zm = f0;:::;m−1gis the state n Example Define a Linear Congruential Generator with Then with we obtain the follo wing output: n 0 1 1 6 2 5 3 1 Here, the period of the generated sequence is 3 since the sequence repeats at Observe that the value of a does not All linear congruential generators use this formula: r n + 1 = a × r n + c ( mod m ) {\displaystyle r_ {n+1}=a\times r_ {n}+c {\pmod {m}}} Where: r 0 {\displaystyle r_ {0}} is a seed. Random Number Generators (RNGs) are useful in many ways. 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