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  2. Constraint logic programming - Wikipedia

    en.wikipedia.org/wiki/Constraint_logic_programming

    Constraint logic programming is a form of constraint programming, in which logic programming is extended to include concepts from constraint satisfaction. A constraint logic program is a logic program that contains constraints in the body of clauses. An example of a clause including a constraint is A (X, Y):-X + Y > 0, B (X), C (Y).

  3. Local consistency - Wikipedia

    en.wikipedia.org/wiki/Local_consistency

    The reason why the induced width is considered instead of the width is that enforcing directional path consistency may add constraints. Indeed, if two variables are not in the same constraint but are in a constraint with a higher variable, some pairs of their values may violate path consistency. Removing such pairs creates a new constraint.

  4. Local search (constraint satisfaction) - Wikipedia

    en.wikipedia.org/wiki/Local_search_(constraint...

    The aim of local search is that of finding an assignment of minimal cost, which is a solution if any exists. Point A is not a solution, but no local move from there decreases cost. However, a solution exists at point B. Two classes of local search algorithms exist. The first one is that of greedy or non-randomized algorithms. These algorithms ...

  5. Benders decomposition - Wikipedia

    en.wikipedia.org/wiki/Benders_decomposition

    The result of the subproblem either provides a new constraint to add to the master problem or a certificate that no finite optimal solution exists for the problem. The procedure terminates when it is shown that no finite optimal solution exists or when the gap between the upper and lower bound is sufficiently small.

  6. Complexity of constraint satisfaction - Wikipedia

    en.wikipedia.org/wiki/Complexity_of_constraint...

    It is known by Ladner's theorem that if P is not equal to NP, then there exist problems in NP that are neither polynomial-time nor NP-hard. For constraint problems with a fixed constraint language and no structural restrictions, such intermediate problems do not exist as proven by Andrei Bulatov [2] and Dmitriy Zhuk, [3] independently, in 2017.

  7. AC-3 algorithm - Wikipedia

    en.wikipedia.org/wiki/AC-3_algorithm

    AC-3 operates on constraints, variables, and the variables' domains (scopes). A variable can take any of several discrete values; the set of values for a particular variable is known as its domain. A constraint is a relation that limits or constrains the values a variable may have. The constraint may involve the values of other variables.

  8. When it’s not worth holding out for that promotion

    www.aol.com/finance/cisco-top-exec-spent-25...

    Gen Z and millennial workers think job-hopping is the only way up the ladder these days. But Cisco’s U.K. CEO’s career journey proves that patience could be key to long-term success.

  9. Basic feasible solution - Wikipedia

    en.wikipedia.org/wiki/Basic_feasible_solution

    is a vector of size m (the number of constraints); is an m-by-n matrix; means that all variables are non-negative. Any linear program can be converted into an equational form by adding slack variables. As a preliminary clean-up step, we verify that: