transition matrix वाक्य
उदाहरण वाक्य
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- In real systems, with more than two levels, the correct dipole transition matrix element for the relevant transition has to be calculated.
- :: Your answer is pretty clear and understandable, especially when you are explaining the transition matrix of the 3-bit computer.
- Are distributions linked to specific starting conditions, or are they only dependent on the transition matrix "'P " '?
- The first type of methods are reward-sensitive, like Krylov and BEBFs, they dilate the reward function geometrically through transition matrix.
- The same information is represented by the transition matrix from time " n " to time " n + 1 ".
- A generic transition matrix in probability has a stationary distribution, which is the eventual probability to be found at any point no matter what the starting point.
- Finally, in two theories the solution of a system of linear commensurate order FDEs and a system of linear FDDEs are given by a state transition matrix.
- Here one considers the matrix \ tfrac { 1 } { d } A, which is the Markov transition matrix of the graph " G ".
- The matrix power A ^ n is the transition matrix between the state now and the state at a time " n " steps in the future.
- The transition matrix function is a function from the branch lengths ( in some units of time, possibly in substitutions ), to a matrix of conditional probabilities.
- In case of a fully connected transition matrix, where all transitions have a non-zero probability, this condition is fulfilled with " N " = 1.
- In the present method, joint probabilities of the samples are found by use of a Markov transition matrix method and this has some mathematical synergy with the bottleneck method itself.
- *A Turing machine, if the term means anything at all, has a discrete set of states and a well-defined transition matrix that determines how it behaves.
- The process is characterized by a state space, a transition matrix describing the probabilities of particular transitions, and an initial state ( or initial distribution ) across the state space.
- In other words, p ( x, y ) represents the one-step transition probability from x to y, and M ^ t gives the t-step transition matrix.
- The state transitions, transition matrixes or de Bruijn graphs are represented by a collection of N \ times N unitary matrixes U _ \ alpha, with one unitary matrix for each letter \ alpha \ in \ Sigma.
- This representation shows that a continuous-time Markov chain can be described by a discrete Markov chain with transition matrix " P " as defined above where jumps occur according to a Poisson process with intensity ?t.
- One then defines a number of different " moves " on topological representatives of " ? " that are all seen to either decrease or preserve the Perron & ndash; Frobenius eignevalue of the transition matrix.
- Let ( X _ n ) _ { n \ geq 0 } a Markov chain that represents the state of the lamp, with values in A = { 0, 1 } and let p be a probability transition matrix.
- A discrete time Markov chains ( DTMC ) with transition matrix " P " and equilibrium distribution \ pi is said to be in detailed balance if for all pairs " i " and " j ",
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