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Subsequently, each particular valuation problem can be addressed by solving a suitable BSDE.
On the other hand, it was noted in [13], for example, that certain solutions of the GNEP (the normalized Nash equilibria, to be defined later) can be found by solving a suitable standard VI associated to the GNEP.
In Section 3, we use the fact that the normalized Nash equilibria can be found by solving a suitable VI, we reformulate the VI associated to the GNEP as a semismooth system of equations and the nonsingularity of the B-subdifferential for the system is explored.
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We show that such a coordination can be achieved by formulating and solving a suitable bilevel optimization problem that optimizes the references for the inner controllers.
With Shape Aware Quadratures (SAQ), for a given set of quadrature nodes, order, and domain of integration, the quadrature weights are obtained by solving a system of suitable moment fitting equations in least square sense.
This perspective can capture the dependencies between several variables by solving a convolution integral and specifying a suitable covariance function, which in turn includes the cross and auto correlations among related variables.
The robust synthetic gene network design can be achieved by specifying suitable kinetic parameters and the decay rates of gene circuits by solving a set of linear matrix inequalities (LMIs), which are used to replace HJIs via the global linearization technique and can be efficiently solved using the LMI toolbox in Matlab [ 20].
Nowadays, a natural and popular approach is trying to find some suitable approximations of an MPCC so that it can be solved by solving a sequence of nonlinear programs.
Therefore, we propose to approximate such term by means of a truncated cardinal series with sampling values approximated by solving numerically corresponding suitable initial value problems.
However, if the directivity of the Tx antenna given in (3) is neglected, i.e. if the omnidirectional Tx antenna is considered, then (G_{{text {ant}}_{i}} phantom {dot {i}!}) is constant and the optimization objective (5) becomes linear and can be solved by a suitable optimization method for linear optimization problems.
Problem B can be solved by a suitable solver such as IBM ILOG CPLEX [ 33].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com