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Firstly, we derive the solution formula for the problem (1.1), (1.2).
The aim of this subsection is to derive the solution formula for the problem (1.1), (1.2).
The aim of this section is to derive the solution formula for the problem (1.1), (1.2).
Also around 1995, Kontsevich analyzed the results of Candelas, which gave a general formula for the problem of counting rational curves on a quintic threefold, and he reformulated these results as a precise mathematical conjecture.
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So if ever you are stuck up, you can easily derive the formula or even a simpler version of that formula for the specific problem.
An improvement of the DP formula for the single-machine problem can also be used in the multi-machine problem.
Proof We will obtain the representation formula for the solution of problem (2.7).
We determine a quasi-analytic formula for the exit time problem for our model in the presence of noise.
Now, we will obtain the formula for the solution of problem (1) for φ ∈ D ( A ) and ψ ∈ D ( A 1 / 2 ).
where M does not depend on τ, φ, ψ, f 1, 1, and f s, 1 ≤ s ≤ N − 1. Proof First, we will obtain the formula for the solution of problem (1).
To this end, a class of the feedback matrices are obtained in parametric form, parameterized by a single parametric matrix, and the cost function and the required gradient formulas for the optimization problem are developed in terms of the small number of eigenvalues that are reassigned and their corresponding eigenvectors.
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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