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Randomized Heuristics for Exploiting Jacobian Scarcity
Griewank and Vogel introduced the notion of Jacobian scarcity, which
generalizes the properties of sparsity and rank to capture a kind of
deficiency in the degrees of freedom of the Jacobian matrix
We describe new randomized heuristics that exploit scarcity for the
optimized evaluation of collections of Jacobian-vector or
Jacobian-transpose-vector products