Heck, Horst

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Number of items: 12.

Journal Article

Choudhury, Anupam Pal; Heck, Horst (2017). Stability of the inverse boundary value problem for the biharmonic operator : Logarithmic estimates. Journal of Inverse and Ill-Posed Problems, 25(2), pp. 251-263. de Gruyter 10.1515/jiip-2016-0019

Pal Choudhury, Anupam; Heck, Horst (2017). Increasing stability for the inverse problem for the Schrödinger equation Mathematical Methods in the Applied Sciences, 2018(41), pp. 606-614. 10.1002/mma.4632

Heck, Horst; Wang, Jenn-Nan (2016). Optimal stability estimate of the inverse boundary value problem by partial measurements Rendiconti dell'Istituto di Matematica dell'Università di Trieste, 48, pp. 369-383. Instituto di Matematica dell'Universita di Trieste 10.13137/2464-8728/13164

Geissert, Matthias; Heck, Horst; Trunk, Christof (2013). H∞ -calculus for a system of Laplace operators with mixed order boundary conditions Discrete & Continuous Dynamical Systems - S, 6(5), pp. 1259-1275. American Institute of Mathematical Sciences (AIMS) 10.3934/dcdss.2013.6.1259

Geissert, Matthias; Heck, Horst; Hieber, Matthias; Sawada, Okihiro (2012). Weak Neumann implies Stokes Journal für die reine und angewandte Mathematik (Crelles Journal), 2012(669), pp. 75-100. De Gruyter 10.1515/CRELLE.2011.150

Heck, Horst; Kim, Hyunseok; Kozono, Hideo (2012). On the stationary Navier–Stokes flows around a rotating body Manuscripta Mathematica, 138(3-4), pp. 315-345. Springer 10.1007/s00229-011-0494-1

Heck, Horst; Hieber, Matthias; Stavrakidis, Kyriakos (2010). L∞-estimates for parabolic systems with VMO-coefficients Discrete & Continuous Dynamical Systems - S, 3(2), pp. 299-309. American Institute of Mathematical Sciences (AIMS) 10.3934/dcdss.2010.3.299

Book Section

Geissert, Matthias; Heck, Horst (2011). A Remark on Maximal Regularity of the Stokes Equations In: Parabolic Problems (pp. 267-274). Basel: Springer Basel 10.1007/978-3-0348-0075-4_14

Conference or Workshop Item

Heck, Horst; Muntwyler, Urs; Schüpbach, Eva (6 September 2021). Optimized Machine Learning Method for PV Power Prediction Proceedings of the EU PVSEC 2021 (online), pp. 1341-1345. 10.4229/EUPVSEC20212021-6CO.11.2

Heck, Horst; Schmidt, Armin Jürg; Kuonen, Franziska; Bacha, Sania; Schüpbach, Eva; Muntwyler, Urs (8 September 2020). Optimising Own PV Consumption with PV Energy Yield Predictions from Machine Learning Algorithms and Weather Data In: 37th EU PVSEC 2020. Online. 7.-11. September 2020.

Heck, Horst; Schmidt, Armin Jürg; Schüpbach, Eva; Kuonen, Franziska; Bacha, Sania; Muntwyler, Urs (8 September 2020). Optimising Own PV Consumption with PV Energy Yield Predictions from Machine Learning Algorithms and Weather Data In: 37th European Photovoltaic Solar Energy Conference and Exhibition. Online. 7.-11. September 2020. 10.4229/EUPVSEC20202020

Kuonen, Franziska; Gfeller, Daniel; Schott, Thomas; Schüpbach, Eva; Heck, Horst; Muntwyler, Urs (2016). Calculation- and visualization-tool (CVT) for partial shading of photovoltaic systems In: 32th European PV Solar Energy Conference and Exhibition. Munich / Germany. 20.-24.06.2016.

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