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GeneralRe: Grrrr @ .NET Pin
Shuqian Ying5-Aug-19 23:48
memberShuqian Ying5-Aug-19 23:48 
GeneralRe: Grrrr @ .NET Pin
honey the codewitch6-Aug-19 2:11
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GeneralRe: Grrrr @ .NET Pin
BillWoodruff6-Aug-19 2:11
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GeneralRe: Grrrr @ .NET Pin
honey the codewitch6-Aug-19 2:19
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GeneralRe: Grrrr @ .NET Pin
BillWoodruff6-Aug-19 2:40
mveBillWoodruff6-Aug-19 2:40 
GeneralRe: Grrrr @ .NET Pin
honey the codewitch6-Aug-19 2:53
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GeneralRe: Grrrr @ .NET Pin
BillWoodruff6-Aug-19 3:09
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GeneralRe: Grrrr @ .NET Pin
honey the codewitch6-Aug-19 3:20
memberhoney the codewitch6-Aug-19 3:20 
BillWoodruff wrote:
The key issue here, for me, is the factor-analysis that leads to the decision table with least complexity, and most robustness, and one that can be verified as handling all possible inputs (given reasonable constraints on inputs).


That's why i suggested a state machine. They're kind of self optimizing if you can construct one as an NFA - all you have to do is do a powerset expansion on it then remove duplicates from the result. Any ambiguities are then easily determinable from the resulting set of accepts. The math behind it is all sound and verified for i don't know how long.

As long as your input sets are constrained to a deterministic, finite alphabet, your FA machine should do the job.

And as far as this


BillWoodruff wrote:
s a single-dimension workflow: other problem spaces that involve back-tracking, 'undo, handling asynchronous events that may occur in any temporal order


A DFA doesn't "backtrack" but an NFA does, virtually. The upshot is you can conceptually backtrack but the resulting state machine will not, once you do the powerset to turn an NFA into a DFA which makes it more predictable and efficient.
When I was growin' up, I was the smartest kid I knew. Maybe that was just because I didn't know that many kids. All I know is now I feel the opposite.

GeneralRe: Grrrr @ .NET Pin
BillWoodruff7-Aug-19 3:25
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GeneralRe: Grrrr @ .NET Pin
honey the codewitch7-Aug-19 3:56
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GeneralLast week I stood at the edge... Pin
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Generalrube goldberg, computer scientist Pin
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