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Extraction of quantifiable information from complex systems. (English) Zbl 1301.93005

Lecture Notes in Computational Science and Engineering 102. Cham: Springer (ISBN 978-3-319-08158-8/hbk; 978-3-319-08159-5/ebook). xix, 432 p. (2014).

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The articles of this volume will be reviewed individually.
Indexed articles:
Belomestny, Denis; Bender, Christian; Dickmann, Fabian; Schweizer, Nikolaus, Solving stochastic dynamic programs by convex optimization and simulation, 1-23 [Zbl 1354.90081]
Dahmen, Wolfgang; Huang, Chunyan; Kutyniok, Gitta; Lim, Wang-Q; Schwab, Christoph; Welper, Gerrit, Efficient resolution of anisotropic structures, 25-51 [Zbl 1317.65251]
Ressel, Rudolf; Dülk, Patrick; Dahlke, Stephan; Kazimierski, Kamil S.; Maass, Peter, Regularity of the parameter-to-state map of a parabolic partial differential equation, 53-67 [Zbl 1327.35446]
Chegini, Nabi G.; Dahlke, Stephan; Friedrich, Ulrich; Stevenson, Rob, Piecewise tensor product wavelet bases by extensions and approximation rates, 69-81 [Zbl 1317.65233]
Cioica, Petru A.; Dahlke, Stephan; Döhring, Nicolas; Kinzel, Stefan; Lindner, Felix; Raasch, Thorsten; Ritter, Klaus; Schilling, René L., Adaptive wavelet methods for SPDEs, 83-107 [Zbl 1317.60084]
Altmayer, Martin; Dereich, Steffen; Li, Sangmeng; Müller-Gronbach, Thomas; Neuenkirch, Andreas; Ritter, Klaus; Yaroslavtseva, Larisa, Constructive quantization and multilevel algorithms for quadrature of stochastic differential equations, 109-132 [Zbl 1317.65029]
Ernst, Oliver G.; Sprungk, Björn; Starkloff, Hans-Jörg, Bayesian inverse problems and Kalman filters, 133-159 [Zbl 1328.93260]
Diehl, Joscha; Friz, Peter K.; Mai, Hilmar; Oberhauser, Harald; Riedel, Sebastian; Stannat, Wilhelm, Robustness in stochastic filtering and maximum likelihood estimation for SDEs, 161-178 [Zbl 1320.93081]
Garcke, Jochen; Klompmaker, Irene, Adaptive sparse grids in reinforcement learning, 179-194 [Zbl 1328.93282]
Ballani, Jonas; Grasedyck, Lars; Kluge, Melanie, A review on adaptive low-rank approximation techniques in the hierarchical tensor format, 195-210 [Zbl 1317.65106]
Griebel, Michael; Hamaekers, Jan; Heber, Frederik, A bond order dissection ANOVA approach for efficient electronic structure calculations, 211-235 [Zbl 1316.81094]
Hackbusch, Wolfgang; Schneider, Reinhold, Tensor spaces and hierarchical tensor representations, 237-261 [Zbl 1317.65102]
Jost, Leonardo; Setzer, Simon; Hein, Matthias, Nonlinear eigenproblems in data analysis: balanced graph cuts and the RatioDCA-Prox, 263-279 [Zbl 1329.68218]
Guillemard, Mijail; Heinen, Dennis; Iske, Armin; Krause-Solberg, Sara; Plonka, Gerlind, Adaptive approximation algorithms for sparse data representation, 281-302 [Zbl 1318.42038]
Jahnke, Tobias; Sunkara, Vikram, Error bound for hybrid models of two-scaled stochastic reaction systems, 303-319 [Zbl 1322.60131]
Kiesel, Rüdiger; Rupp, Andreas; Urban, Karsten, Valuation of structured financial products by adaptive multiwavelet methods in high dimensions, 321-345 [Zbl 1314.91239]
Kämmerer, Lutz; Kunis, Stefan; Melzer, Ines; Potts, Daniel; Volkmer, Toni, Computational methods for the Fourier analysis of sparse high-dimensional functions, 347-363 [Zbl 1319.65130]
Herrholz, Evelyn; Lorenz, Dirk; Teschke, Gerd; Trede, Dennis, Sparsity and compressed sensing in inverse problems, 365-379 [Zbl 1317.65123]
Lubich, Christian, Low-rank dynamics, 381-396 [Zbl 1317.65214]
Novak, Erich; Rudolf, Daniel, Computation of expectations by Markov chain Monte Carlo methods, 397-411 [Zbl 1317.65017]
Yserentant, Harry, Regularity, complexity, and approximability of electronic wavefunctions, 413-428 [Zbl 1318.82029]

MSC:

93-06 Proceedings, conferences, collections, etc. pertaining to systems and control theory
93E03 Stochastic systems in control theory (general)
93E11 Filtering in stochastic control theory
65J99 Numerical analysis in abstract spaces
60H30 Applications of stochastic analysis (to PDEs, etc.)
60H35 Computational methods for stochastic equations (aspects of stochastic analysis)
00B15 Collections of articles of miscellaneous specific interest
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