Random numbers.

Random numbers.

1. The quality of random numbers.

   • critical success factor
     • Guaranteed by mathematical theory
     • Troubleshooting N different areas.

2. Generated by

   • It sources of information R random.
     • Physical nature
     • Governed by random laws

3. Pseudo-random numbers.

   • Similar behaviors.
     • Random nature.
     • Related 2 a consecutive pattern
     • Mathematical

4. Sequence of random numbers.

   • generated by
     • physical factors
       • characteristics
         • Not correlated.
           • Succession of random numbers.
         • statistical independence and probability
           • Implies probability
             • Specific number N the sequence
         • Maximum period
           • Number generators
             • Generally Cycles.
               • The value doesn't depend on the leading digit
                 • CARRIZALES J. CARLOS DANIEL
         • Uniformity
           • Random numbers can
             • Standard
               • The probability function density
               • standard variable
         • Efficiency
           • Large amount of random numbers.
     • mathematical methods

5. Random number generator.

   • Algorithm 4 generating sequence of random numbers.
     • Programming language.
   • Linear congruence
     • 4 whole number digits R chosen.
   • Mixed method of congruence.
     • It's found throughout the period covered by the set of numbers.
     • Module decision
       • Positive number and high value integer.
     • Multiplier decision
       • Numeric value must B negative and integer
   • Lagged - Fibbonasi Generator
     • 4 parallel serial processing machines
       • minimizes correlations
   • Combined linear congruence generator
     • creation of random sequence by algorithm.

6. Random number applications.

   • Cryptography
   • Technologies and security
   • Communication of networks.