Suggestions(1)
Exact(4)
The boundary conditions for solving Eqs.
Therefore, the data obtained from these points are used for solving Eqs.
Special software is required for solving Eqs. 1 and 2 simultaneously in large time series problems.
In this section, we will consider the numerical methods we use for solving Eqs.
Similar(55)
Now, the eigenvalue eigenfunction method is used for solving Eq. (17) along with conditions (18a)–(18a).
In particular, FTVd method [34] is one of effective methods for solving Eq. (4).
For solving Eq. (15), one needs the matrix elements of the antisymmetrized two-body t-matrix.
The method for solving Eq. (7) was developed in Leonovich and Mazur (1995) and Vetoulis and Chen (1994).
We will deduce the boundary conditions on the front required for solving Eq. (81.1) from the inner expansion via the matching conditions as before.
As before, boundary conditions on the front required for solving Eq. (38) will be deduced from the inner expansion via the matching conditions.
For solving Eq. (10), a primal Lagrangian variable is formed first, followed by substituting the Karush Kuhn Tucker conditions in primal Lagrangian variable.
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