transition matrix वाक्य
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- The initial state and transition matrix can be reduced to,
- Krylov basis construction uses the actual transition matrix instead of random walk Laplacian.
- The cyclic model of succession can be displayed in terms of a transition matrix.
- An eigenvector of the transition matrix with eigenvalue 1 corresponds to a steady state.
- This gives us the updated transition matrix:
- The transition matrix is characterized entirely by its upper-left block { T }.
- The human brain has neither a discrete set of states nor a simple transition matrix.
- The embedded Markov chain has transition matrix
- V channels are governed by a transition matrix whose rates are voltage-dependent in a complicated way.
- The state-transition matrix must be determined before analysis on the time-varying solution can continue.
- Thus the transition matrix of the stochastic process is tri-diagonal in shape and the transition probabilities are
- Since the operators are linear, the matrix is a linear transformation ( aka transition matrix ) between bases.
- In the case of a positive transition matrix, the " no net flow " condition implies detailed balance.
- Write your transition matrix to reflect that fact . talk ) 15 : 48, 25 December 2010 ( UTC)
- It is easy to show that the solution of this equation is equivalent to the leading eigenvector of the transition matrix.
- Note that in the above Bayesian characterizations, \ beta ( a concentration parameter ) controls the density of the transition matrix.
- Some subshifts can be characterized by a transition matrix, as above; such subshifts are then called subshifts of finite type.
- From p ( x, y ) we can construct a transition matrix of a Markov chain ( M ) on X.
- Random walkers explore the network according to a special transition matrix and their dynamics is governed by a random walk master equation.
- Kolmogorov's criterion gives a necessary and sufficient condition for a Markov chain to be reversible directly from the transition matrix probabilities.
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