Random long number generator in java
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Getting it right could prove a bit tricky. I'd like to do exactly the same with long number. Using a proven library is wise if you're not just coding for fun. All 2 24 possible float values of the form m x 2 -24, where m is a positive integer less than 2 24, are produced with approximately equal probability. So if you want to get a Long, you're already not going to get the full 64 bit range. Lehmer and described by Donald E. Parameters: streamSize - the number of values to generate Returns: a stream of pseudorandom long values Throws: - if streamSize is less than zero Since: 1.

It needs to pick unique numbers from a range of 1 to 40. Returns: a stream of pseudorandom double values Since: 1. Implementation Note: This method is implemented to be equivalent to longs Long. One of the actions it can perform is to shuffle the elements. Description The nextInt int n method is used to get a pseudorandom, uniformly distributed int value between 0 inclusive and the specified value exclusive , drawn from this random number generator's sequence.

For example, let's make the lottery number picker. Parameters: streamSize - the number of values to generate Returns: a stream of double values Throws: - if streamSize is less than zero Since: 1. The general contract of nextInt is that one int value in the specified range is pseudorandomly generated and returned. These have separate subreddits - see below. Returns: the next pseudorandom, uniformly distributed int value between zero inclusive and bound exclusive from this random number generator's sequence Throws: - if bound is not positive Since: 1.

I'm not really sure what you're trying to do but there's a lot of stuff with regards to random number generators all over the internet so have a look. If it were a perfect source of randomly chosen bits, then the algorithm shown would choose float values from the stated range with perfect uniformity. Take a look at the Javadoc of nextInt int n. . This leaves us with only numbers from 0 inclusive to the divisor exclusive. Return Value The method call returns a pseudorandom, uniformly distributed int value between 0 inclusive and n exclusive.

It's even possible to extend the Random-class with your own nextLong-method even though composition could be a safer choice for more serious programming. The elements are objects that can be added to or removed from the list. In general, however, an overriding method may use all 64 bits of the long argument as a seed value. The algorithm is slightly tricky. The general contract of nextFloat is that one float value, chosen approximately uniformly from the range 0. The algorithm treats the case where n is a power of two specially: it returns the correct number of high-order bits from the underlying pseudo-random number generator. You can see the bit juggling done at.

Please seek help with Java programming in! Thus, this special case greatly increases the length of the sequence of values returned by successive calls to this method if n is a small power of two. Parameters: randomNumberOrigin - the origin inclusive of each random value randomNumberBound - the bound exclusive of each random value Returns: a stream of pseudorandom int values, each with the given origin inclusive and bound exclusive Throws: - if randomNumberOrigin is greater than or equal to randomNumberBound Since: 1. According to your requirement you need to generate 9 digit random numbers. This means it's a deterministic randomness, but it will do in most situations. Depending on what you're trying to do, you could just multiply your output by 10, 100, etc. The implementation of setSeed by class Random happens to use only 48 bits of the given seed. Prepare to do some math with pen and paper.

Below I have just given one solution to generate random number between two numbers. A pseudorandom int value is generated as if it's the result of calling the method. A pseudorandom int value is generated as if it's the result of calling the method. The general contract of nextInt is that one int value is pseudorandomly generated and returned. A pseudorandom long value is generated as if it's the result of calling the method. Use is subject to and the. Parameters: bound - the upper bound exclusive.

Add rounding, and your numbers will be biased towards smaller values and values where low bits are zero. Parameters: randomNumberOrigin - the origin inclusive of each random value randomNumberBound - the bound exclusive of each random value Returns: a stream of pseudorandom double values, each with the given origin inclusive and bound exclusive Throws: - if randomNumberOrigin is greater than or equal to randomNumberBound Since: 1. The modulo operator divides two numbers and outputs the remainder of those numbers. Parameters: randomNumberOrigin - the origin inclusive of each random value randomNumberBound - the bound exclusive of each random value Returns: a stream of pseudorandom long values, each with the given origin inclusive and bound exclusive Throws: - if randomNumberOrigin is greater than or equal to randomNumberBound Since: 1. Or maybe generate somthing pseudo random and strip last 9 digits out of it. A nextLong method could be implemented using the same algorithm.