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This is achieved by rewriting the problem into an integrability problem using state-space realization theory.
Parallel programming faces two major challenges: how to efficiently map computations to different parallel hardware architectures, and how to do it in a modular way, i.e., without rewriting the problem solving code.
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We rewrite the problem (1.1 - 1.3 1.1 - 1.3ws.
Now, rewrite the problem in the differential operator form: (3.27).
For the second solution it was necessary to rewrite the problem again and use (3.9).
For the sake of simplicity, we rewrite the problem (3.9) as follows: find such that (3.14).
To compute its numerical approximation, we rewrite the problem (1.9a - 1.9b 1.9a - 1.9ber (3.8).
To this, we first rewrite the problem (1.1) to the following equivalent form (1.2). where.
Then we can rewrite the problem (2.3 - 2.4 2.3 - 2.4eas stheement mathcal{A}(u,v)=numathcal{B}(u,v).
Now we can rewrite the problem (1 - 7) in the operator form as (AU = lambda U) where (U = binom{ u ( x ) }{ R' ( u ) }in D ( A )).
As in [34], we rewrite the problem into a semidefinite program and make a relaxation by dropping the rank-one constraint.
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