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- W2912436028 abstract "Invariants that incrementally maintain the value of expressions under assignments to their variables are a natural abstraction to build high-level local search algorithms. But their functionalities are not sufficient to allow arbitrary expressions as constraints or objective functions as in constraint programming. Differentiable invariants bridge this expressiveness gap. A differentiable invariant maintains the value of an expression and its variable gradients, it supports differentiation to evaluate the effect of local moves. The benefits of differentiable invariants are illustrated on a number of applications which feature complex, possibly reified, expressions and whose models are essentially similar to their CP counterparts. Experimental results demonstrate their practicability." @default.
- W2912436028 created "2019-02-21" @default.
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- W2912436028 date "2006-01-01" @default.
- W2912436028 modified "2023-10-14" @default.
- W2912436028 title "Differentiable Invariants" @default.
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- W2912436028 doi "https://doi.org/10.1007/11889205_43" @default.
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