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Preprints by WIAS Researchers in Other Preprint Series 2022

  • N. Ahmed, V. John, X. Li, Ch. Merdon, Inf-sup stabilized Scott--Vogelius pairs on general simplicial grids for Navier--Stokes equations, Preprint no. arXiv:2212.10909, Cornell University, 2022, DOI 10.48550/arXiv.2212.10909 .
  • CH. Bayer, P.K. Friz, N. Tapia, Stability of deep neural networks via discrete rough paths, Preprint no. arXiv:2201.07566, Cornell University, 2022, DOI 10.48550/arXiv.2201.07566 .
  • CH. Bayer, M. Fukasawa, N. Shonosuke , On the weak convergence rate in the discretization of rough volatility models, Preprint no. arXiv:2203.02943, Cornell University, 2022, DOI 10.48550/arXiv.2203.02943 .
  • S. Katz, A. Caiazzo, B. Moreau, U. Wilbrandt, J. Brüning, L. Goubergrits, V. John, Impact of turbulence modeling on the simulation of blood flow in aortic coarctation, Preprint no. arXiv:2208.14217, Cornell University, 2022, DOI 10.48550/arXiv.2208.14217 .
  • A. Gasnikov, A. Novitskii, V. Novitskii, F. Abdukhakimov, D. Kamzolov, A. Beznosikov, M. Takáč, P. Dvurechensky, B. Gu, The power of first-order smooth optimization for black-box non-smooth problems, Preprint no. arXiv:2201.12289, Cornell University, 2022, DOI 10.48550/arXiv.2201.12289 .
  • V. Artem, A. Gasnikov, P. Dvurechensky, V. Spokoiny, Accelerated gradient methods with absolute and relative noise in the gradient, Preprint no. arXiv:2102.02921, Cornell University, 2022, DOI 10.48550/arXiv.2102.02921 .
  • M. Alkousa, A. Gasnikov, P. Dvurechensky, A. Sadiev, L. Razouk, An approach for non-convex uniformly concave structured saddle point problem, Preprint no. arXiv:2202.06376, Cornell University, 2022, DOI 10.48550/arXiv.2202.06376 .
  • P. Dvurechensky, S. Shtern, M. Staudigl, A conditional gradient homotopy method with applications to semidefinite programming, Preprint no. arXiv:2207.03101, Cornell University, 2022, DOI 10.48550/arXiv.2207.03101 .
  • M. O'Donovan, P. Farrell, J. Moatti, T. Streckenbach, Th. Koprucki, S. Schulz, Impact of random alloy fluctuations on the carrier distribution in multi-color (In,Ga)N/GaN quantum well systems, Preprint no. arXiv.2209.11657, Cornell University, 2022, DOI 10.48550/arXiv.2209.11657 .
  • S. Piani, P. Farrell, W. Lei, N. Rotundo, L. Heltai, Data-driven solutions of ill-posed inverse problems arising from doping reconstruction in semiconductors, Preprint no. arXiv:2208.00742, Cornell University, 2022, DOI 10.48550/arXiv.2208.00742 .
  • S. Piani, P. Farrell, W. Lei, N. Rotundo, L. Heltai, A weighted hybridizable discontinuous Galerkin method for drift-diffusion problems, Preprint no. arXiv:2211.02508, Cornell University, 2022, DOI 10.48550/arXiv.2211.02508 .
  • C. Bellingeri, P.K. Friz, S. Paycha, R. Preiss, Smooth rough paths, their geometry and algebraic renormalization, Preprint no. arXiv:2111.15539, Cornell University, 2022, DOI 10.48550/arXiv.2111.15539 .
  • P.K. Friz, A. Hocquet, K. Lê, Rough stochastic differential equations, Preprint no. arXiv:2106.10340, Cornell University, 2022, DOI 10.48550/arXiv.2106.10340 .
  • V. John, X. Li, Ch. Merdon, H. Rui, Inf-sup stabilized Scott--Vogelius pairs on general simplicial grids by Raviart--Thomas enrichment, Preprint no. arXiv:2206.01242, Cornell University, 2022, DOI 10.48550/arXiv.2206.01242 .
  • G.R. Barrenechea, V. John, P. Knobloch, Finite element methods respecting the discrete maximum principle for convection-diffusion equations, Preprint no. arXiv:2204.07480, Cornell University, 2022, DOI 10.48550/arXiv.2204.07480 .
  • B. García-Archilla, V. John, J. Novo, POD-ROMs for incompressible flows including snapshots of the temporal derivative of the full order solution, Preprint no. arXiv:2206.09123, Cornell University, 2022, DOI 10.48550/arXiv.2206.09123 .
  • A. Jha, V. John, P. Knobloch, Adaptive grids in the context of algebraic stabilizations for convection-diffusion-reaction equations, Preprint no. arXiv:2007.08405, Cornell University, 2022, DOI 10.48550/arXiv.2007.08405 .
  • P. Ral, A.K. Giri, V. John, Instantaneous gelation and nonexistence for the Oort--Hulst--Safronov coagulation model, Preprint no. arXiv:2206.02035, Cornell University, 2022, DOI 10.48550/arXiv.2206.02035 .
  • P. Gracar, L. Lüchtrath, Ch. Mönch, Finiteness of the percolation threshold for inhomogeneous long-range models in one dimension, Preprint no. arXiv:2203.11966, Cornell University, 2022, DOI 10.48550/arXiv.2203.11966 .
  • T. Boege, R. Fritze, Ch. Görgen, J. Hanselman, D. Iglezakis, L. Kastner, Th. Koprucki, T. Krause, Ch. Lehrenfeld, S. Polla, M. Reidelbach, Ch. Riedel, J. Saak, B. Schembera, K. Tabelow, M. Weber, Research-data management planning in the German mathematical community, Preprint no. arXiv:2211.12071, Cornell University, 2022, DOI 10.48550/arXiv.2211.12071 .
  • Y.-W. Sun, K. Papagiannouli, V. Spokoiny, High dimensional change-point detection: A complete graph approach, Preprint no. arXiv:2203.08709, Cornell University, 2022, DOI 10.48550/arXiv.2203.08709 .
  • V. Spokoiny, Finite samples inference and critical dimension for stochastically linear models, Preprint no. arXiv:2201.06327, Cornell University, 2022, DOI 10.48550/arXiv.2201.06327 .
  • V. Spokoiny, Dimension free non-asymptotic bounds on the accuracy of high dimensional Laplace approximation, Preprint no. arXiv:2204.11038, Cornell University, 2022, DOI 10.48550/arXiv.2204.11038 .
  • S. Mohammadi, T. Streubel, L. Klock, A. Lutti, K. Pine, S. Weber, L. Edwards, P. Scheibe, G. Ziegler, J. Gallinat, S. Kuhn, M. Callaghan, N. Weiskopf, K. Tabelow, Error quantification in multi-parameter mapping facilitates robust estimation and enhanced group level sensitivity, Preprint no. bioRxiv: 2022.01.11.475846, Cold Spring Harbor Laboratory, 2022, DOI 10.1101/2022.01.11.475846 .
  • J.M. Oeschger, K. Tabelow, S. Mohammadi, Axisymmetric diffusion kurtosis imaging with Rician bias correction: A simulation study, Preprint no. bioRxiv2022.03.15.484442, Cold Spring Harbor Laboratory, bioRxiv, 2022, DOI 10.1101/2022.03.15.484442 .
  • Y. Nemmour, H. Kremer, B. Schölkopf, J.-J. Zhu, Maximum mean discrepancy distributionally robust nonlinear chance-constrained optimization with finite-sample guarantee, Preprint no. arXiv:2204.11564, Cornell University, 2022, DOI 10.48550/arXiv.2204.11564 .
  • O. Butkovsky, K. Dareiotis, M. Gerencsér, Strong rate of convergence of the Euler scheme for SDEs with irregular drift driven by Levy noise, Preprint no. arXiv:2204.12926, Cornell University, 2022, DOI 10.48550/arXiv.2204.12926 .
  • A. Erhardt, E. Wahlén, J. Weber, Bifurcation analysis for axisymmetric water waves, Preprint no. arXiv:2202.01754, arXiv, Cornell University, 2022, DOI 10.48550/arXiv.2202.01754 .
  • J. Kern, The Skorokhod topologies: What they are and why we should care, Preprint no. arXiv:2210.16026, Cornell University, 2022, DOI 10.48550/arXiv.2210.16026 .
  • A. Kroshnin, E. Stepanov, D. Trevisan, Infinite multidimensional scaling for metric measure spaces, Preprint no. arXiv:2201.05885, Cornell University, 2022, DOI 10.48550/arXiv.2201.05885 .
  • N. Djurdjevac Conrad, J. Köppl, A. Djurdjevac, Feedback loops in opinion dynamics of agent-based models with multiplicative noise, Preprint no. arXiv:2209.07151, Cornell University, 2022, DOI 10.48550/arXiv.2209.07151 .
  • M. Oliva, T. Flissikowsky, M. Góra, J. Lähnemann, J. Herranz, R. Lewis, O. Marquardt, M. Ramsteiner, L. Geelhaar, O. Brandt, Carrier recombination in highly uniform and phase-pure GaAs/(Al,Ga)As core/shell nanowire arrays on Si(111): Mott transition and internal quantum efficiency, Preprint no. arXiv:2211.17167, Cornell University, 2022, DOI 10.48550/arXiv.2211.17167 .
  • F. Delarue, W. Salkeld, Probabilistic rough paths II Lion--Taylor expansions and random controlled rough paths, Preprint no. arXiv:2203.01185, Cornell University, 2022, DOI 10.48550/arXiv.2203.01185 .
  • K. Ebrahimi-Fard, F. Patras, N. Tapia, L. Zambotti, Shifted substitution in non-commutative multivariate power series with a view toward free probability, Preprint no. arXiv:2204.01445, Cornell University, 2022, DOI 10.48550/arXiv.2204.01445 .
  • M. Ghani Varzaneh, S. Riedel, A. Schmeding, N. Tapia, The geometry of controlled rough paths, Preprint no. arXiv:2203.05946, Cornell University, 2022, DOI 10.48550/arXiv.2203.05946 .
  • M. Brokate, C. Christof, Strong stationarity conditions for optimal control problems governed by a rate-independent evolution variational inequality, Preprint no. arXiv:2205.01196, Cornell University, 2022, DOI 10.48550/arXiv.2205.01196 .