不要偽隨機數計算器上是真的嗎？能告訴我是怎樣產生的嗎？數學用表上的又是從哪兒來得？反復使用豈不是就重復了嗎？有哪個高級計算機語言有真隨機數？還有其他方法嗎？

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可用數學軟件matlab可用函數：rand、randn使用方法：RAND Uniformly distributed random numbers。 RAND(N) is an N-by-N matrix with random entries, chosen from a uniform distribution on the interval (0。0,1。0)。 RAND(M,N) and RAND([M,N]) are M-by-N matrices with random entries。 RAND(M,N,P,。。。) or RAND([M,N,P,。。。]) generate random arrays。 RAND with no arguments is a scalar whose value changes each time it is referenced。 RAND(SIZE(A)) is the same size as A。 RAND produces pseudo-random numbers。 The sequence of numbers generated is determined by the state of the generator。 Since MATLAB resets the state at start-up, the sequence of numbers generated will be the same unless the state is changed。 S = RAND('state') is a 35-element vector containing the current state of the uniform generator。 RAND('state',S) resets the state to S。 RAND('state',0) resets the generator to its initial state。 RAND('state',J), for integer J, resets the generator to its J-th state。 RAND('state',sum(100*clock)) resets it to a different state each time。 This generator can generate all the floating point numbers in the closed interval [2^(-53), 1-2^(-53)]。 Theoretically, it can generate over 2^1492 values before repeating itself。 MATLAB Version 4。x used random number generators with a single seed。 RAND('seed',0) and RAND('seed',J) cause the MATLAB 4 generator to be used。 RAND('seed') returns the current seed of the MATLAB 4 uniform generator。 RAND('state',J) and RAND('state',S) cause the MATLAB 5 generator to be used。RANDN Normally distributed random numbers。 RANDN(N) is an N-by-N matrix with random entries, chosen from a normal distribution with mean zero, variance one and standard deviation one。 RANDN(M,N) and RANDN([M,N]) are M-by-N matrices with random entries。 RANDN(M,N,P,。。。) or RANDN([M,N,P。。。]) generate random arrays。 RANDN with no arguments is a scalar whose value changes each time it is referenced。 RANDN(SIZE(A)) is the same size as A。 RANDN produces pseudo-random numbers。 The sequence of numbers generated is determined by the state of the generator。 Since MATLAB resets the state at start-up, the sequence of numbers generated will be the same unless the state is changed。 S = RANDN('state') is a 2-element vector containing the current state of the normal generator。 RANDN('state',S) resets the state to S。 RANDN('state',0) resets the generator to its initial state。 RANDN('state',J), for integer J, resets the generator to its J-th state。 RANDN('state',sum(100*clock)) resets it to a different state each time。 MATLAB Version 4。x used random number generators with a single seed。 RANDN('seed',0) and RANDN('seed',J) cause the MATLAB 4 generator to be used。 RANDN('seed') returns the current seed of the MATLAB 4 normal generator。 RANDN('state',J) and RANDN('state',S) cause the MATLAB 5 generator to be used。 。