"point solution" is a correct and usable phrase in written English.
It is commonly used in the context of problem-solving or technology, specifically to refer to a specific solution for a specific issue or point of concern. Example: Our company offers a variety of software solutions, but for this particular issue, we recommend a point solution that targets the root cause.
The least fixed point solution to the function of the composite actor, which is a set of signals, gives the denotational semantics of the hybrid system model.
In addition, the conditions for the existence of a saddle point solution are analyzed for the two full-state guidance laws.
The digestion procedure using cold finger in an open system is useful, at boiling point solution temperature, safe and simple for Hg determination in biological samples.
This prototype integrates "point solution" (mature) technologies, such as document readability enhancement, OCR capability, signature matching and handwritten word spotting techniques, search and mining approaches, among others, to yield a system capable of searching "real world documents".
The operational semantics takes the denotational semantics as a mathematical foundation and defines a set of rules for evaluating actors such that the least fixed point solution can be constructed.
Clinical measurements of pressure and/or flow-rate are imposed as constraints to formulate a nonlinear system of equations, whose fixed point solution is sought.
But on their own, these point solutions have no impact.
However, these single processing point solutions do not scale well.
However, these point solutions left enterprises with no greater systemic capabilities than they had before.
None of these is bad, but point solutions don't solve system-level problems.
I think we're generally too drawn to incremental point solutions and very scared of complex operational problems like that.
