The phrase "a device for solving" is correct and usable in written English.
It can be used when describing a tool or mechanism designed to address a specific problem or challenge.
Example: "The new software is a device for solving complex mathematical equations quickly and efficiently."
Alternatives: "a tool for addressing" or "an instrument for resolving".
At the time mariners needed a device for solving the problem of establishing the East-West position or longitude of a ship at sea.
This invention arose from previous work performed by Herbert R. Stewart, one of Bush's masters students, who at Bush's suggestion created the integraph, a device for solving first-order differential equations, in 1925.
Thus, the discrete particles serve not only as a numerical device for solving the partial differential equations, but also as a means for incorporating microscopic physics into the model.
They included juggling while riding a unicycle down the halls of Bell Labs, devising a calculator to perform arithmetic operations in Roman numerals and designing a mechanical device for solving Rubik's cube puzzle.
This approach makes full use of the energy band mismatch of the photoanode and photocathode to design a highly efficient device for solving environmental issues and producing clean energy.
In field tests, it has been proved to be a safe and effective device for solving problems of arching, blocking and sticking.
The proposed design concept allows the development of only one device for solving the both mentioned problems.
In addition to aircraft and spacecraft, aerodynamic studies in wind tunnels have been highly profitable devices for solving design problems in automobiles, boats, trains, bridges, and building structures.
Later, he was rather inclined to look at logical systems as formalisms having their own problems deserving research and as useful devices for solving various questions but not as something leading to the only "true" ontological scheme.
Specialized analog computational devices for solving specific subproblems more efficiently than possible with either GPUs or general purpose computers are being considered or already implemented by companies such as IBM, Google and HP and in academia, as well [17 20].
