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According to the obtained results, the admissible filter can be solved in terms of parameter linear matrix inequality (PLMI) technology.
Many problems can be solved in terms of the minimization of a functional, usually related to the energy, in an appropriate space of functions.
The above non-linear Riccati type equation can be solved in terms of a confluent hypergeometric Whittaker function as discussed by Khan [19].
These models can also be solved in terms of infinite series expansions using image charges, and the merits of this approach can easily be tested.
It follows that the Hamilton-Jacobi equation (Equation 3.23) can be solved in terms of the Hamilton equations d x d s = ∂ H ∂ p = J ( x ) W ′ ( p ) = J ( x ) [ W ′ ^ ( p ) - W ′ ^ ( - p ) ] (3.26) d p d s = - ∂ H ∂ x = - J ′ ( x ) W ( p ). (3.27).
The non-linear optimization problem with known typical lower and upper bounds can be solved in terms of (left (vec {beta }^,j^ right)=min _{vec {beta },j}Fleft (vec {beta },jright)) by a suitable optimization method for solving non-linear optimization problems.
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This assessment shed new light on the situation of non-hazardous waste incinerators, including an identification and a rank ordering for each incinerator of the most frequent and the most complex non-conformities to be solved in term of cost and delay.
The equations of elastodynamics are solved in terms of displacements.
All the steady-state equations have been solved in terms of one state.
High-order linear differential-difference equations have also been solved in terms of Bernoulli polynomials.
The synthesis of statefeedback stabilizing controllers is solved in terms of Linear Programming.
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