Many programming languages do the same. Note that you can extend the range, simply by multiplying by some number. For example, if you want a random number between 0 and 10, multiply the random number by 10.
In MATLAB, the random number generator function rand
generates numbers that follow a uniform distribution between 0 and 1. This means that the generated random numbers have an equal probability of being any value between 0 and 1. The specific random number generation algorithm used by MATLAB ensures that the generated numbers are statistically independent and uniformly distributed throughout this range.
we can represente a RGB color in matlab by a pure quaternion q=0+R*I+G*J+B*K we apply the function q=quaternion(0,R,G,B); for this you must download the qtfm toolbox.
RAND: Rand uses a multiplicative congruential random number generator with period232 to return successive pseudo-random numbers in the range 0 to RAND_MAX. Return Value: Rand returns the generated pseudo-random number. RANDOM(): Random returns a random number between 0 and (num-1).random(num) is a macro defined in STDLIB.H. RANDOMIZE(): Randomize initializes the random number generator with a random value. Because randomize is implemented as a macro that calls the time function prototyped in TIME.H, you should include TIME.H when you use this routine SRAND(): The random number generator is reinitialized by calling srand with an argument value of 1.The generator can be set to a new starting point by calling srand with a given seed number.
The code below can generate triangular wave in Matlab. A=2; t = 0:0.0005:1; x=A*sawtooth(2*pi*5*t,0.25); %5 Hertz wave with duty cycle 25% plot(t,x); grid axis([0 1 -3 3]);
· A variable whose values are determined by the outcomes of a random experiment is called a random variable. A random variable is a discrete random variable if it can assume values, which are finite or countable infinite. For example, tossing of a die is a random experiment and its outcomes 1, 2, 3, 4, 5 and 6 are discrete random variable. When a coin is tossed, its outcomes head and tail are discrete random variable. Three coins are thrown; the number of heads is example of discrete random variable. Note that the outcomes need ot be integers or even numbers (eg colour of eyes). · If a random variable can assume every possible value in an interval [a, b], a< b, where a and b may be - infinity and + infinity respectively, for example, the points on number line between 0 and 1; Value of 'x' between 0 and 2; Number of heads on a coin when it is tossed infinite times.
first you make sure you have cake then you cook it in stew;0
rand gives you 0-1. So you will have to add offset and slope so suppose we want number from 4 to 6, then ourNumber = 2*rand + 4
"=rand()" in a cell gives a random number between 0 and 1. Every time the sheet is recalculated (F9 key) a new random number is generated.
we can represente a RGB color in matlab by a pure quaternion q=0+R*I+G*J+B*K we apply the function q=quaternion(0,R,G,B); for this you must download the qtfm toolbox.
In DOS, the following line will generate a random number between 1 and 100. To get 0-100, remove the plus one at the end. set /a num=%random% %%100 +1
usually between $0 to $10,000,000 a year, though it can vary.
(Int(0 * Rnd) +1) * UNSURE AS I DONT HAVE VB ON MY PC ATM *
There are a few different ways to do this but this one will work just fine for your problem. (note these numbers are not truly random, but they will probably be random enough for your purposes) you will have to: import java.util.Random; then define a new random number generator called Generator: Random generator = new Random(); Then, make a random integer between 0 and 40 and subtract 20 so it is between -20 and positive 20. int myNumber = generator.nextInt(40) - 20;
its vary between 0 t0 1 only .....pf =0.8
RAND: Rand uses a multiplicative congruential random number generator with period232 to return successive pseudo-random numbers in the range 0 to RAND_MAX. Return Value: Rand returns the generated pseudo-random number. RANDOM(): Random returns a random number between 0 and (num-1).random(num) is a macro defined in STDLIB.H. RANDOMIZE(): Randomize initializes the random number generator with a random value. Because randomize is implemented as a macro that calls the time function prototyped in TIME.H, you should include TIME.H when you use this routine SRAND(): The random number generator is reinitialized by calling srand with an argument value of 1.The generator can be set to a new starting point by calling srand with a given seed number.
· A variable whose values are determined by the outcomes of a random experiment is called a random variable. A random variable is a discrete random variable if it can assume values, which are finite or countable infinite. For example, tossing of a die is a random experiment and its outcomes 1, 2, 3, 4, 5 and 6 are discrete random variable. When a coin is tossed, its outcomes head and tail are discrete random variable. Three coins are thrown; the number of heads is example of discrete random variable. Note that the outcomes need ot be integers or even numbers (eg colour of eyes). · If a random variable can assume every possible value in an interval [a, b], a< b, where a and b may be - infinity and + infinity respectively, for example, the points on number line between 0 and 1; Value of 'x' between 0 and 2; Number of heads on a coin when it is tossed infinite times.
The code below can generate triangular wave in Matlab. A=2; t = 0:0.0005:1; x=A*sawtooth(2*pi*5*t,0.25); %5 Hertz wave with duty cycle 25% plot(t,x); grid axis([0 1 -3 3]);
You can use this function: Function Random(ByVal Lowerbound As Long, ByVal Upperbound As Long) Randomize() Random = Int(Rnd * Upperbound) + Lowerbound End Function And use it by using: whatever.Text = Random(1, 1000) This example gives a number between 1 and 1000.