The phrase "abstract solutions" is correct and usable in written English.
It can be used in contexts where you are discussing theoretical or conceptual answers to problems, often in fields like mathematics, philosophy, or computer science.
Example: "The research paper focused on abstract solutions to complex equations that do not have straightforward answers."
Alternatives: "theoretical solutions" or "conceptual solutions".
The play brain looks for patterns and abstract solutions, disregards information that it cannot evaluate functionally, groups objects into clumps of understanding and is fascinated by rendering the complex into the master-able.
For example, a parameter study or data assimilation for the finite-dimensional Galerkin system considered in Theorem 8.1 and the associated rate function in Proposition 9.1 are often easier than working directly with the abstract solutions of the stochastic Amari model in C ( [ 0, T ], L 2 ( B ) ).
A former early Facebook employee corroborated TechCrunch's reporting to Motherboard, and said that an engineering mindset overrode those emotions, in an attempt to conjure more general and abstract solutions, rather than focusing on particular cases arguably a sign of the moderation strategy to come.
The key features of our method are: abstractions can be generated quickly; the abstract solution can be applied directly to the original problem; and the loss of optimality can be bounded.
Analysis and experiments have shown that hierarchical problem solving is most effective when the hierarchy satisfies the downward refinement property (DRP), whereby every abstract solution can be refined to a concrete-level solution without backtracking across abstraction levels.
Firstly, the TRIZ user chooses a TRIZ knowledge source to work for an abstract solution.
As a consequence, we obtain an abstract solution to the Lifting Problem for Commuting Subnormals.
Our abstract solution is realized on the basis of a particular action calculus, namely, the fluent calculus.
In this approach, the TRIZ users start solving an inventive problem with the TRIZ knowledge source of their choice to obtain an abstract solution.
It forms abstractions that satisfy the ordered monotonicity property, which guarantees that the structure of an abstract solution is not changed in the process of refining it.
It describes how the mental imagery used by a key team member in constructing an abstract solution to a design problem can be externalized and adopted by the rest of the team as a focal image.
