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To solve the optimization problem, an equivalent transformation is provided which converts the problem into a linear programming optimization problem.
The method of continues trajectory, usually converts the problem of cam design in problem of solving the system of equations of unknown coefficients.
This converts the problem of secure steganography to one that has been largely resolved in terms of known bounds and general near-optimal practical coding constructions.
Also, this principle converts the problem of minimizing the objective functional subject to the state system into minimizing either the Lagrangian or the Hamiltonian with respect to the controls (bounded measurable functions) at each time t.
One common approach for these types of problems is to relax the subchannel allocation variables (x^{m}_{textit {kn}}) whenever this relaxation converts the problem into a convex one.
Also, this principle converts the problem of minimizing the objective functional subject to the state system into minimizing either the Lagrangian or the Hamiltonian with respect to the controls (bounded measurable functions) at each time t[ 40].
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Based on the quasi-physical strategy, we convert the problem into an unconstrained optimization problem.
The Hankel transform technique is applied to convert the problem to dual integral equations.
We prove the existence and uniqueness for solution of the equation by converting the problem into a fixed point problem.
Also, we derive a representation for the solution of (1.1) by converting the problem to an equivalent summation equation.
Then we convert the problem to a stochastic integral equation (SIE) and introduce Bernstein polynomials for solving the SIE.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com