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math.OC2024
Tensor train solution to uncertain optimization problems with shared sparsity penalty
Harbir Antil, Sergey Dolgov, Akwum Onwunta
We develop both first and second order numerical optimization methods to solve non-smooth optimization problems featuring a shared sparsity penalty, constrained by differential equ…
quant-ph2024
Fast-forwarding quantum algorithms for linear dissipative differential equations
Dong An, Akwum Onwunta, Gengzhi Yang
We establish improved complexity estimates of quantum algorithms for linear dissipative ordinary differential equations (ODEs) and show that the time dependence can be fast-forward…