J. Haas et al., “Challenges and trends of energy storage expansion planning for flexibility provision in power systems - a review,” Renewable and Sustainable Energy Reviews, vol. 80, pp. 603–619, 2017.
B. Haasdonk and G. Santin, “Greedy Kernel Approximation for Sparse Surrogate Modelling,” Reduced-Order Modeling (ROM) for Simulation and Oprimization, 2017.
B. Haasdonk, “Reduced Basis Methods for Parametrized PDEs -- A Tutorial Introduction for Stationary and Instationary Problems,” in Model Reduction and Approximation: Theory and Algorithms, P. Benner, A. Cohen, M. Ohlberger, and K. Willcox, Eds. SIAM, Philadelphia, 2017, pp. 65--136.
M. Hahn, U. Breitenbücher, O. Kopp, and F. Leymann, “Modeling and execution of data-aware choreographies: an overview,” Computer Science - Research and Development, 2017.
M. Hahn, U. Breitenbücher, F. Leymann, and A. Weiß, “TraDE - A Transparent Data Exchange Middleware for Service Choreographies,” Lecture Notes in Computer Science (LNCS), vol. 10573, pp. 252--270, 2017.
W. Halter, J. M. Montenbruck, and F. Allgöwer, “Systems with integral resource consumption,” Proc. 56th IEEE Conf. Decision and Control (CDC), pp. 2667--2673, 2017.
D. Hamann, N.-P. Walz, A. Fischer, M. Hanss, and P. Eberhard, “Fuzzy arithmetical stability analysis of uncertain machining systems,” Mechanical Systems and Signal Processing, vol. 98, no. 1, p. 14, 2017.
H. Hang and I. Steinwart, A Bernstein-type Inequality for Some Mixing Processes and Dynamical Systems with an Application to Learning. 2017.
H. Harbrecht, W. L. Wendland, and N. Zorii, “Riesz energy problems for strongly singular kernels,” Math. Nachr., 2017.
F. Hempert et al., “Simulation of real gas effects in supersonic methane jets using a tabulated equation of state with a discontinuous Galerkin spectral element method,” Computers & Fluids, vol. 145, pp. 167--179, 2017.
M. Herschel, R. Diestelkämper, and H. Ben Lahmar, “A survey on provenance: What for? What form? What from?,” International Journal on Very Large Data Bases, vol. 26, no. 6, pp. 881--906, 2017.
A. Hessenthaler, O. Röhrle, and D. Nordsletten, “Validation of a non-conforming monolithic fluid-structure interaction method using phase-contrast MRI,” International Journal for Numerical Methods in Biomedical Engineering, vol. 33, 2017.
A. Hessenthaler, N. Gaddum, O. Holub, R. Sinkus, O. Röhrle, and D. Nordsletten, “Experiment for validation of fluid-structure interaction models and algorithms,” International Journal for Numerical Methods in Biomedical Engineering, vol. 33, 2017.
M. Hintermueller, C. N. Rautenberg, T. Wu, and A. Langer, “Optimal Selection of the Regularization Function in a Weighted Total Variation Model. Part II: Algorithm, Its Analysis and Numerical Tests,” JOURNAL OF MATHEMATICAL IMAGING AND VISION, vol. 59, no. 3, SI, pp. 515–533, 2017.
M. Hintermüller, C. N. Rautenberg, T. Wu, and A. Langer, “Optimal Selection of the Regularization Function in a Weighted Total Variation Model. Part II: Algorithm, Its Analysis and Numerical Tests,” Journal of Mathematical Imaging and Vision, vol. 59, pp. 515--533, 2017.
M. Hintermüller, C. N. Rautenberg, T. Wu, and A. Langer, “Optimal Selection of the Regularization Function in a Weighted Total Variation Model. Part II: Algorithm, Its Analysis and Numerical Tests,” Journal of Mathematical Imaging and Vision, pp. 1--19, 2017.
M. Hintermüller, A. Langer, C. N. Rautenberg, and T. Wu, “Adaptive regularization for reconstruction from subsampled data.” WIAS Preprint No. 2379, 2017.
S. Hirschmann, M. Brunn, M. Lahnert, M. Mehl, C. W. Glass, and D. Pflüger, “Load balancing with p4est for Short-Range Molecular Dynamics with ESPResSo,” Advances in Parallel Computing, vol. 32, pp. 455--464, 2017.
S. Hocker, D. Rapp, and S. Schmauder, “Molecular dynamics simulations of strengthening due to silver precipitates in copper matrix,” physica status solidi (b), 2017.
A. Hofmann and M. Hanss, “Fuzzy arithmetical controller design for active road vehicle suspension in the presence of uncertainties,” 2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR), pp. 582--587, 2017.