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variable elimination造句

例句与造句

  1. Variable elimination and the simplex algorithm are used for solving linear and polynomial equations and inequalities, and problems containing variables with infinite domain.
  2. Other considered kinds of constraints are on real or rational numbers; solving problems on these constraints is done via variable elimination or the simplex algorithm.
  3. For example, unification is used for finite tree equalities, variable elimination for polynomial equations over reals, constraint propagation to enforce a form of local consistency for finite domains.
  4. For example, strength reduction could remove the two multiplications inside the loop ( 6 * i and a [ i ] ), and induction variable elimination could then elide i completely.
  5. In particular, creating the constraints on separators can be done using variable elimination, which is a form of inference, while subproblems can be solved by search ( backtracking, etc .)
  6. It's difficult to find variable elimination in a sentence. 用variable elimination造句挺难的
  7. Now using classical techniques for variable elimination in polynomial systems ( results from the theory of Resultants and Gr鯾ner basis it can be proven that equations ( ) do in fact define as holomorphic functions.
  8. In some cases, such as variable elimination ( " projection " ), PolyLib and PPL primarily use algorithms for the rational domain, and thus produce an approximation of the result for integer variables.
  9. A hybrid approach can be taken by using variable elimination for creating the new constraints that are propagated within nodes, and a search algorithm ( such as backtracking, backjumping, local search ) on each individual node.
  10. The most common exact inference methods are : variable elimination, which eliminates ( by integration or summation ) the non-observed non-query variables one by one by distributing the sum over the product; variational methods.
  11. In constraint satisfaction, a "'hybrid algorithm "'solves a constraint satisfaction problem by the combination of two different methods, for example variable conditioning ( backtracking, backjumping, etc . ) and constraint inference ( arc consistency, variable elimination, etc .)

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