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Brute forcing can indeed be somewhat improved by heuristics, based on some knowledge of the problem at hand.

There is no universal strategy that can work anywhere, especially if it is a blind one (independent of the history of outcomes for different trials). Moreover, there are probably problems elusive of any strategy.

An example of a heuristic strategy is simulated annealing, where you assume that the better solutions you find, the closer you are to the optimum. Such a property may not hold at all for other questions.

Question A: no, there is no general strategy to be applied blindly.

Question B: nothing really general. A technique worth knowing when exploring trees is the so-called iterative deepening.

Brute forcing can indeed be somewhat improved by heuristics, based on some knowledge of the problem at hand.

There is no universal strategy that can work anywhere, especially if it is a blind one (independent of the history of outcomes for different trials). Moreover, there are probably problems elusive of any strategy.

An example of a heuristic strategy is simulated annealing, where you assume that the better solutions you find, the closer you are to the optimum. Such a property may not hold at all for other questions.

Question A: no, there is no general strategy to be applied blindly.

Question B: nothing really general. A technique worth knowing when exploring trees is the so-called iterative deepening.

Brute forcing can indeed be somewhat improved by heuristics, based on some knowledge of the problem at hand.

There is no universal strategy that can work anywhere, especially if it is a blind one (independent of the history of outcomes for different trials). Moreover, there are probably problems elusive of any strategy.

An example of a heuristic strategy is simulated annealing, where you assume that the better solutions you find, the closer you are to the optimum. Such a property may not hold at all for other questions.

Question A: no, there is no general strategy to be applied blindly.

2 added 203 characters in body
source | link

Brute forcing can indeed be somewhat improved by heuristics, based on some knowledge of the problem at hand.

There is no universal strategy that can work anywhere, especially if it is a blind one (independent of the history of outcomes for different trials). Moreover, there are probably problems elusive of any strategy.

An example of a heuristic strategy is simulated annealing, where you assume that the better solutions you find, the closer you are to the optimum. Such a property may not hold at all for other questions.

Question A: no, there is no general strategy to be applied blindly.

Question B: nothing really general. A technique worth knowing when exploring trees is the so-called iterative deepening.

Brute forcing can indeed be somewhat improved by heuristics, based on some knowledge of the problem at hand.

There is no universal strategy that can work anywhere, especially if it is a blind one (independent of the history of outcomes for different trials). Moreover, there are probably problems elusive of any strategy.

An example of a heuristic strategy is simulated annealing, where you assume that the better solutions you find, the closer you are to the optimum. Such a property may not hold at all for other questions.

Brute forcing can indeed be somewhat improved by heuristics, based on some knowledge of the problem at hand.

There is no universal strategy that can work anywhere, especially if it is a blind one (independent of the history of outcomes for different trials). Moreover, there are probably problems elusive of any strategy.

An example of a heuristic strategy is simulated annealing, where you assume that the better solutions you find, the closer you are to the optimum. Such a property may not hold at all for other questions.

Question A: no, there is no general strategy to be applied blindly.

Question B: nothing really general. A technique worth knowing when exploring trees is the so-called iterative deepening.

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source | link

Brute forcing can indeed be somewhat improved by heuristics, based on some knowledge of the problem at hand.

There is no universal strategy that can work anywhere, especially if it is a blind one (independent of the history of outcomes for different trials). Moreover, there are probably problems elusive of any strategy.

An example of a heuristic strategy is simulated annealing, where you assume that the better solutions you find, the closer you are to the optimum. Such a property may not hold at all for other questions.