例句與造句

1. See for example rational difference equation and matrix difference equation .)
2. This has applications in, for example, solving matrix difference equations.
3. An alternative solution method involves converting the " n "-th order difference equation to a first-order matrix difference equation.
4. This equation is called a discrete dynamic Riccati equation, and it arises when a variable vector evolving according to a linear matrix difference equation is controlled by manipulating an cost function.
5. :For an example of a function from R n to R n, see Matrix difference equation # Non-homogeneous first-order matrix difference equations and the steady state.
6. It's difficult to find matrix difference equation in a sentence. 用matrix difference equation造句挺難的
7. :For an example of a function from R n to R n, see Matrix difference equation # Non-homogeneous first-order matrix difference equations and the steady state.
8. For an example from R n譶 to R n譶, see Matrix difference equation # Nonlinear matrix difference equations : Riccati equations . talk ) 03 : 05, 3 June 2016 ( UTC)
9. For an example from R n譶 to R n譶, see Matrix difference equation # Nonlinear matrix difference equations : Riccati equations . talk ) 03 : 05, 3 June 2016 ( UTC)
10. Matrix difference equations of higher order & mdash; that is, with a time lag longer than one period & mdash; can be solved, and their stability analyzed, by converting them into first-order form using a block matrix.
11. Expanded with n-1 identities of kind y _ { n-k } = y _ { n-k }, this n-th order equation is translated into a matrix difference equation system of n first-order linear equations,
12. Thus each individual scalar variable of an " n "-dimensional first-order linear system evolves according to a univariate " n " th degree difference equation, which has the same stability property ( stable or unstable ) as does the matrix difference equation.
13. Likewise, a linear matrix difference equation in a dynamic vector " X ", of the homogeneous form X _ t = AX _ { t-1 } in terms of square matrix " A " will have all elements of the dynamic vector diverge to infinity if the largest eigenvalue of " A " is greater than 1 in absolute value; there is no attractor and no basin of attraction.
14. A linear matrix difference equation of the homogeneous ( having no constant term ) form X _ { t + 1 } = AX _ t has closed form solution X _ t = A ^ tX _ 0 predicated on the vector X _ 0 of initial conditions on the individual variables that are stacked into the vector; X _ 0 is called the vector of initial conditions or simply the initial condition, and contains " nk " pieces of information, " n " being the dimension of the vector " X " and " k " = 1 being the number of time lags in the system.