In: The European Physical Journal B, 2015, vol. 88, no. 3, p. 1-12
|
In: Journal of Statistical Physics, 2015, vol. 161, no. 6, p. 1420-1433
|
In: JETP Letters, 2015, vol. 102, no. 2, p. 113-117
|
In: Journal für die reine und angewandte Mathematik (Crelles Journal), 2017, vol. 2017, no. 725, p. 217-234
|
In: Climate Dynamics, 2015, vol. 44, no. 9-10, p. 2411-2427
|
In: Journal of Superconductivity and Novel Magnetism, 2015, vol. 28, no. 4, p. 1231-1236
|
In: Experiments in Fluids, 2015, vol. 56, no. 5, p. 1-16
|
In: Journal of Statistical Physics, 2015, vol. 161, no. 6, p. 1434-1452
|
Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021INFO008.
Fundamental tasks in multivariate and numerical analysis, such as sparse precision matrix estimation via graphical lasso and function approximation, are formulated in ever-increasing dimensions. Consequently, this results in a significant increase in the computational demand that quickly renders standard solution methods intractable. With this motivation, we present two scalable algorithms that...
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In: npj Quantum Materials, 2021, vol. 6, no. 1, p. 51
Investigations of magnetically ordered phases on the femtosecond timescale have provided significant insights into the influence of charge and lattice degrees of freedom on the magnetic sub-system. However, short-range magnetic correlations occurring in the absence of long-range order, for example in spin-frustrated systems, are inaccessible to many ultrafast techniques. Here, we show how...
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