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In recent years, several mathematical concepts have been successfully explored in the computer science domain as a basis for finding original solutions for complex problems related to knowledge engineering, data mining, and information retrieval.
However, the comparison with humans stops here, because, unlike machines, we have the ability to autonomously build on top of our knowledge by contextualizing problems and finding original solutions to solve them.
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That experience taught Nakamura the importance of finding an original solution to a problem.
There may also be other original solutions to the specific problem of high-rent blight, such as, perhaps, finding ways to let pop-up stores use abandoned spaces on a seasonal basis.
He worked out an original solution for finding a number that, when added to or subtracted from a square number, leaves a square number.
In addition to finding suboptimal solutions for the original max-weight optimization problem, utility optimization based protocol design using the back-pressure framework has also being extensively studied.
DBB-BC uses collaborative-combination hybridization to combine the BB-BC algorithm, Differential Evolution algorithm, and Neighborhood Search in order to improve the exploration and exploitation capabilities of the original BB-BC in finding global solutions.
The latter is based on adding a suitable minimization function to the basic 0 1 programming schema so that finding optimal solutions corresponds one-to-one to generating prime implicants of the original theory.
This concept involves the restatement of a single-objective problem in an alternative multi-objective form, which can facilitate the process of finding a solution to the original problem.
For solving the original problem of finding a solution to the inclusion 0 ∈ A z, Rockafellar [22] introduced the following algorithm: z k + e k ∈ z k + 1 + c k A z k + 1, (1.2).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com