String theory transcends space and time
The theory led to time dilation and spacial contraction.
A atomic clock will tell you the true time.
its simple quadratics
An "acceptable theory" is both 1. unproven in the complete sense of the word and yet- 2. yeilds the same results time after time Do not confuse this word with hypothesis or hunch when speaking science. "I have a theory that Jennifer Aniston will remarry" is not a valid sentence! You have a hunch, but not a theory.
Queueing Theory Calculator is a simple, yet powerful tool to process queueing models calculations, Erlang formulas for queues.
yes
Zvi Rosberg has written: 'Queueing networks under the class of stationary service policies' -- subject(s): Queuing theory 'Queueing networks under the class of stationary service policies' -- subject(s): Queuing theory 'Queueing networks under the class of stationary service policies' -- subject(s): Queuing theory 'Queueing networks under the class of stationary service policies' -- subject(s): Network analysis (Planning), Queuing theory
I will rephrase your question, as to "What relationship does queueing theory and probability therory?" Queueing theory is the mathematical study of waiting lines See: http://en.wikipedia.org/wiki/Queueing_theory Wait times, by their nature, are uncertain but can be represented by probability distributions. From a distribution, I may be able to tell that the chance of waiting more than 5 minutes for service is 10%, or that there is a 95% chance that my complete time in a facility (service time and wait time) is less than 15 minutes. On the other side, queueing theory may determine how often those responsible for service have no customers. The theory has broad applications, ranging from computer networks, telephony systems, delivery of goods and services (such as mail, home repair, etc) to an area and customer service in any location where people might stand in line. Traffic analysis uses queueing theory extensively. The "forward" analyses begins with an assumed probability distribution. Given probability distributions that are thought to describe certain activities (number of customers arriving in a particular time span, time spent with each customer and special events -frequency of events and time spent on special events), the distribution of waiting times can be determined mathematically. Thus, probability theory provides the basis (distribution and mathematical theory) for queueing applications. Today, more complex queueing problems are solved by Monte-Carlo simulation, which after thousands (or hundreds of thousands) of repeated runs, can provide nearly the same accuracy of statistics and distributions as those generated from purely mathematical solution. More broadly, queueing modeling and theoretical solutions are within stochastic process analysis.
Leonard Kleinrock has written: 'Broadband Networks for the 1990s' 'Communication Nets' -- subject(s): Telecommunication 'Queueing Systems, Computer Applications, Solution Manual' 'Theory, Volume 1, Queueing Systems' -- subject(s): Queuing theory 'Communication nets; stochastic message flow and delay' -- subject(s): Statistical communication theory, Telecommunication 'Queueing systems.' -- subject(s): Accessible book
John N. Daigle has written: 'Queueing theory for telecommunications' -- subject(s): Computer networks, Queuing theory
Queueing Systems was created in 1986.
Tomasz Rolski has written: 'Order relations in the set of probability distribution functions and their applications in queueing theory' -- subject(s): Distribution (Probability theory), Probabilities, Queuing theory
The correct spelling of "queueing" is with five consecutive vowels: Q-U-E-U-E-I-N-G.
J. R. Artalejo has written: 'Retrial queueing systems' -- subject(s): Queuing theory
Traffic intensity describes the mean number of simultaneous call in progress. A.K. Erlang (1878-1929) was the pioneer of traffic theory, which he applied to studytelephone systems.
Job Flow Balance is a term in Queueing Theory when the number of arrivals is equal to the number of completions during an observable period