variable elimination造句
例句与造句
- Variable elimination and the simplex algorithm are used for solving linear and polynomial equations and inequalities, and problems containing variables with infinite domain.
- 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.
- 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.
- 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.
- 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 .)
- It's difficult to find variable elimination in a sentence. 用variable elimination造句挺难的
- 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.
- 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.
- 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.
- 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.
- 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 .)