Quantum linear programming offers polynomial speedups over classical methods for computing Young measures in nonlinear PDEs for random cases, but provides no advantage when only expected values are needed.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Existence of optimal solutions together with first-order and necessary/sufficient second-order optimality conditions are established for pointwise tracking optimal control of a fractional semilinear elliptic PDE.
citing papers explorer
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Quantum algorithms for Young measures: applications to nonlinear partial differential equations
Quantum linear programming offers polynomial speedups over classical methods for computing Young measures in nonlinear PDEs for random cases, but provides no advantage when only expected values are needed.
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A pointwise tracking optimal control problem for a fractional, semilinear PDE
Existence of optimal solutions together with first-order and necessary/sufficient second-order optimality conditions are established for pointwise tracking optimal control of a fractional semilinear elliptic PDE.