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  2. Roller chain - Wikipedia

    en.wikipedia.org/wiki/Roller_chain

    Roller chain and sprocket The sketch of roller chain, Leonardo da Vinci, Codex Atlanticus. Roller chain or bush roller chain is the type of chain drive most commonly used for transmission of mechanical power on many kinds of domestic, industrial and agricultural machinery, including conveyors, wire- and tube-drawing machines, printing presses, cars, motorcycles, and bicycles.

  3. Mechanical advantage - Wikipedia

    en.wikipedia.org/wiki/Mechanical_advantage

    The velocity v of the chain or belt is the same when in contact with the two sprockets or pulleys: = =, where the input sprocket or pulley A meshes with the chain or belt along the pitch radius r A and the output sprocket or pulley B meshes with this chain or belt along the pitch radius r B,

  4. Chain drive - Wikipedia

    en.wikipedia.org/wiki/Chain_drive

    Most often, the power is conveyed by a roller chain, known as the drive chain or transmission chain, [1] passing over a sprocket, with the teeth of the gear meshing with the holes in the links of the chain. The gear is turned, and this pulls the chain putting mechanical force into the system.

  5. Examples of Markov chains - Wikipedia

    en.wikipedia.org/wiki/Examples_of_Markov_chains

    A game of snakes and ladders or any other game whose moves are determined entirely by dice is a Markov chain, indeed, an absorbing Markov chain. This is in contrast to card games such as blackjack, where the cards represent a 'memory' of the past moves. To see the difference, consider the probability for a certain event in the game.

  6. Markov chain - Wikipedia

    en.wikipedia.org/wiki/Markov_chain

    A Markov chain is a type of Markov process that has either a discrete state space or a discrete index set (often representing time), but the precise definition of a Markov chain varies. [6] For example, it is common to define a Markov chain as a Markov process in either discrete or continuous time with a countable state space (thus regardless ...

  7. Chain rule (probability) - Wikipedia

    en.wikipedia.org/wiki/Chain_rule_(probability)

    This rule allows one to express a joint probability in terms of only conditional probabilities. [4] The rule is notably used in the context of discrete stochastic processes and in applications, e.g. the study of Bayesian networks, which describe a probability distribution in terms of conditional probabilities.

  8. File:The sketch (drawing) of roller chain, Leonardo da Vinci.jpg

    en.wikipedia.org/wiki/File:The_sketch_(drawing...

    Left click to see original sketch site after you open this site. This is website of sketch (drawing) of roller chain, Leonardo da Vinci. at the Wayback Machine (archived 2009-01-04) Original, The sketch (drawing) of roller chain, Leonardo da Vinci at the Wayback Machine (archived 2011-07-22) Author: Namazu-tron

  9. Stopping time - Wikipedia

    en.wikipedia.org/wiki/Stopping_time

    Example of a stopping time: a hitting time of Brownian motion.The process starts at 0 and is stopped as soon as it hits 1. In probability theory, in particular in the study of stochastic processes, a stopping time (also Markov time, Markov moment, optional stopping time or optional time [1]) is a specific type of “random time”: a random variable whose value is interpreted as the time at ...