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The Boolean satisfiability (SAT) problem is the problem of finding a solution to the equation f=1, where f is a Boolean formula to be satisfied.
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The central issue in linear-quadratic (LQ) optimal control problems is finding a solution to Riccati equation.
Clearly, finding a solution (y(t)) of the FBVP (3.3) is equivalent to finding a solution of the summation equation (3.4).
The problem reduces to finding a solution (the optimal opening time) to differential equations whose behavior can be analytically resolved.
This gives a solution to the long-standing open problem of finding natural conditions under which a stochastic delay equation admits at most one invariant measure and transition probabilities converge to it.
The following theorem deals with the problem of finding a lower solution to equation (6).
This section is devoted to introducing an alternative algorithm for finding a spectral solution to equation (3.11).
One of the oldest topics is finding solutions to the equations and systems [1, 5 8].
The problem is solved by finding an approximate particular solution to the Poisson equation and using boundary collocation to solve the resulting Laplace equation.
"The hard part is finding a solution.
But finding a solution is hard.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com