Yes. It is $random(seed). The seed is optional. The random number sequence for a given seed (or no seed) will always be the same. This means that in hooking together your verilog modules you did something wrong. On one of your connections, the number of bits that your module expects on a certain port does not match the number of bits of the thing that you hooked it up to.

A collection of 14 FAQs on Transact-SQL language character string and binary string operations. Clear answers are provided with tutorial exercises on concatenating character/binary strings; converting Unicode character strings; converting binary strings; inserting new line characters; locating and taking substrings; bitwise operations. See similar questions...

The standard module random implements a random number generator. Usage is simple: import random random.random() See similar questions...

rand() is used to generate a random number between its first value and its second value. Eg. var/num = rand(1,10) will set num to a random number between one and ten. prob() is used to check a probability out of 100; it will return 1 if the check is true, or 0 if the check is false. For example, prob(50) will have a 50% chance of returning 1 and a 50% chance of returning 0. prob(25) will have but a 25% chance of returning 1 and a 75% chance of returning 0. See similar questions...

Some semistandard functions have been renamed or replaced over the years; see the full list for details. I'm still getting errors due to library functions being undefined, even though I'm requesting the right libraries. See similar questions...

Yes, there is a random number operator, #, that you can use in numeric expressions. The operator works like a die roll, with the first number being the number of dice and the second number being the type of die. So example, a random number similar to a roll of 3 six-sided dice (or "3d6" in role-playing game terminology) would be expressed as 3#6. More simply, a random number from 1 to 100 would be 1#100. A number from 3 to 7 would be 1#5+2. See similar questions...

The PCQNG uses a noise component or jitter produced by Phased Locked Loop circuits in the PC which can be precisely determined. This jitter is the source of true entropy which is extracted to produce a sequence of true random numbers. See Design Principles and Testing of the PCQNG 2.0 Device for a detailed technical explanation. See similar questions...

The notation "[0,1)" is common math notation for "zero to .9999999 etc" The Sun documents say this returns 0.0 to 1.0, but inspection of the source shows they are wrong. However, due to the inherent inaccuracies of floating point arithmetic, multiplying N by 0.999999 etc can result in an answer of N, not N * .999999 . So watch out when N is big. See similar questions...

Call srand(time(NULL)) at the beginning of your program, and then use rand()%limit to obtain a pseudo-random number between 0 and limit-1. See similar questions...

This is a quick way for a visitor to get a live sample of what the web site has to offer. When a visitor clicks the generate a random graph button, WebGraphing.com returns a complete graph of a randomly generated polynomial function up to degree 3 along with descriptive answers in The Analyzer that explain the mathematics needed to produce the graph by hand. See similar questions...

By using special verilog system tasks, you can generate an IRSIM .cmd file from a verilog run. Please take a look at the document on snooper modules that is here. When I run my verilog with the snooper module, I get a really ugly looking error. It looks something like: Error! acc_handle_tfarg() [PLI-NOACCARGBSEL] You probably ran verilog without the -x option. The snooper module needs verilog to be called with the -x option. This is the same as using rsimverilog. See similar questions...

There's frequently an itoa function. Better yet, write your own; it'll be good practice. On some implementations, (char *) x; will convert x to a string. See similar questions...

We go to great lengths to make sure that the numbers are picked as randomly as possible. Why is that important? It assures that we get old and young people, rich and poor people, conservative and liberal people ? and everybody in between. Let's say the computer is about to pick a telephone number from your area code and telephone exchange. There are 10,000 possible telephone numbers. See similar questions...

Yes, this is normal and expected. The current system stores some information in a hidden field which is serialized and zipped. The field appears as a very long stream of random characters. Do not delete or modify this field or the form will become unusable. See similar questions...

There is no built-in memory in a random system. Once the numbers are picked in the first board the process starts over again for the next board. The boards are completely unrelated and have no influence on the boards that follow. You have a memory of what happens. The Quick Pick has no memory of what happens. Therefore, a player could have the same set of Quick Pick numbers on the same ticket. Only one individual can claim a lottery ticket. See similar questions...

No. Definitely not because picking your numbers at random is actually against the laws of nature, which is that everything is arranged in an orderly fashion and therefore you must arrange your numbers in an orderly fashion in accordance with the behaviour of nature. The 13,983,816 combinations are arranged in order so that it is easier for any sons or daughters of nature that wanted to study the system and has the patient to do so, will be able to understand it easily. See similar questions...

Yes. Schedule-HR has features that allow you to export data to several different formats including text, Excel, Lotus, Word, HTML, DBF, RTF, etc. See similar questions...

Suppose the matrix is 3 rows by 4 columns, and you sample CELL using dcat and get a number between 1 and 12, which you want to convert to a row and a column. There are two solutions: See similar questions...

Method Math.random() returns a value R such that 0 <= R < 1.0 ; therefore function Random(x) { return Math.floor(x*Math.random()) } gives an evenly distributed random integer in the range from 0 to x-1 inclusive; use Random(N)+1 for 1 to N. See similar questions...