Solving the set of constraints can be done by Boolean solvers.Examples like
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True or false matrix
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0 and 1 , switch on off modes
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Numerical analysis, like the Gaussian elimination.
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binary values
Boolean solvers can solve sets of constraints using numerical analysis techniques like Gaussian elimination, which systematically eliminates variables to solve systems of linear equations or constraints. This method is fundamental in constraint satisfaction problems. Options A, B, and D describe binary/boolean concepts but are not examples of constraint-solving techniques.
Marked answer: Numerical analysis, like the Gaussian elimination. This is a poorly phrased question, likely translated, about examples of Boolean/constraint solvers. Boolean (SAT) solvers typically operate over discrete true/false or binary (0/1) values — options like 'true or false matrix,' '0 and 1 switch on/off,' and 'binary values' are the more natural fit for 'Boolean solver' examples. Gaussian elimination is a classic linear-algebra technique for continuous systems, though it does have a real discrete analogue (Gaussian elimination over GF(2)) used for solving XOR/linear Boolean constraint systems in some contexts — so the marked answer isn't nonsensical, but given the vague wording it's hard to be certain this was the intended concept rather than one of the more directly 'Boolean' options.