Results 71 to 80 of about 183 (174)
Joint Design of RF and Gradient Waveforms via Auto-differentiation for 3D Tailored Excitation in MRI. [PDF]
Luo T, Noll DC, Fessler JA, Nielsen JF.
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No Statistical-Computational Gap in Spiked Matrix Models with Generative Network Priors. [PDF]
Cocola J, Hand P, Voroninski V.
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In this paper it is considered the modified simplex imbeddings method, which is related to the class of cutting plane methods. The main feature of this method is the convergence estimation, which depends only on the quantity of simplex vertices, that are
A.V. Kolosnitcyn
doaj
On the constancy theorem for anisotropic energies through differential inclusions. [PDF]
Hirsch J, Tione R.
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Unified Robust Necessary Optimality Conditions for Nonconvex Nonsmooth Uncertain Multiobjective Optimization. [PDF]
Wang J, Li S, Feng M.
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The Hadwiger theorem on convex functions, III: Steiner formulas and mixed Monge-Ampère measures. [PDF]
Colesanti A, Ludwig M, Mussnig F.
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. In this paper, we consider the semi-infinite programming problems with non-differentiable emerging functions. Firstly, we give a counterexample showing that Theorem 3.1 of Ref. [10] is not true. Then, by modifying the assumptions of this theorem, we
N. Kanzi
doaj
Variable Smoothing for Weakly Convex Composite Functions. [PDF]
Böhm A, Wright SJ.
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Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems. [PDF]
Chun IY, Huang Z, Lim H, Fessler JA.
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