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Exact(12)
Also, we derive a representation for the solution of (1.1) by converting the problem to an equivalent summation equation.
Also, we derive a representation for the solution to (1.3) by converting the problem to an equivalent summation equation.
We prove the existence and uniqueness for solution of the equation by converting the problem into a fixed point problem.
The results are established by converting the problem into an equivalent integral equation and applying Krasnoselskii's fixed-point theorem in cones.
In this paper, we establish the existence of solutions of (1.2) by converting the problem to the existence of critical points of some variational structure.
Another solution of (23) is provided by converting the problem of multivariate minimization to a sequence of single-variate minimization problem via alternating minimization [6].
Similar(48)
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.
To solve the optimization problem, an equivalent transformation is provided which converts the problem into a linear programming optimization problem.
Then we convert the problem to a stochastic integral equation (SIE) and introduce Bernstein polynomials for solving the SIE.
This technique uses a previously known transformation to convert the problem into an optimization in the non-negative orthant.
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CEO of Professional Science Editing for Scientists @ prosciediting.com