@article{1584,
  abstract     = {We investigate weighted straight skeletons from a geometric, graph-theoretical, and combinatorial point of view. We start with a thorough definition and shed light on some ambiguity issues in the procedural definition. We investigate the geometry, combinatorics, and topology of faces and the roof model, and we discuss in which cases a weighted straight skeleton is connected. Finally, we show that the weighted straight skeleton of even a simple polygon may be non-planar and may contain cycles, and we discuss under which restrictions on the weights and/or the input polygon the weighted straight skeleton still behaves similar to its unweighted counterpart. In particular, we obtain a non-procedural description and a linear-time construction algorithm for the straight skeleton of strictly convex polygons with arbitrary weights.},
  author       = {Biedl, Therese and Held, Martin and Huber, Stefan and Kaaser, Dominik and Palfrader, Peter},
  journal      = {Computational Geometry: Theory and Applications},
  number       = {5},
  pages        = {429 -- 442},
  publisher    = {Elsevier},
  title        = {{Reprint of: Weighted straight skeletons in the plane}},
  doi          = {10.1016/j.comgeo.2015.01.004},
  volume       = {48},
  year         = {2015},
}

@inbook{1590,
  abstract     = {The straight skeleton of a polygon is the geometric graph obtained by tracing the vertices during a mitered offsetting process. It is known that the straight skeleton of a simple polygon is a tree, and one can naturally derive directions on the edges of the tree from the propagation of the shrinking process. In this paper, we ask the reverse question: Given a tree with directed edges, can it be the straight skeleton of a polygon? And if so, can we find a suitable simple polygon? We answer these questions for all directed trees where the order of edges around each node is fixed.},
  author       = {Aichholzer, Oswin and Biedl, Therese and Hackl, Thomas and Held, Martin and Huber, Stefan and Palfrader, Peter and Vogtenhuber, Birgit},
  booktitle    = {Graph Drawing and Network Visualization},
  isbn         = {978-3-319-27260-3},
  location     = {Los Angeles, CA, United States},
  pages        = {335 -- 347},
  publisher    = {Springer Nature},
  title        = {{Representing directed trees as straight skeletons}},
  doi          = {10.1007/978-3-319-27261-0_28},
  volume       = {9411},
  year         = {2015},
}

@article{1682,
  abstract     = {We study the problem of robust satisfiability of systems of nonlinear equations, namely, whether for a given continuous function f:K→ ℝn on a finite simplicial complex K and α &gt; 0, it holds that each function g: K → ℝn such that ||g - f || ∞ &lt; α, has a root in K. Via a reduction to the extension problem of maps into a sphere, we particularly show that this problem is decidable in polynomial time for every fixed n, assuming dimK ≤ 2n - 3. This is a substantial extension of previous computational applications of topological degree and related concepts in numerical and interval analysis. Via a reverse reduction, we prove that the problem is undecidable when dim K &gt; 2n - 2, where the threshold comes from the stable range in homotopy theory. For the lucidity of our exposition, we focus on the setting when f is simplexwise linear. Such functions can approximate general continuous functions, and thus we get approximation schemes and undecidability of the robust satisfiability in other possible settings.},
  author       = {Franek, Peter and Krcál, Marek},
  journal      = {Journal of the ACM},
  number       = {4},
  publisher    = {ACM},
  title        = {{Robust satisfiability of systems of equations}},
  doi          = {10.1145/2751524},
  volume       = {62},
  year         = {2015},
}

@article{1710,
  abstract     = {We consider the hollow on the half-plane {(x, y) : y ≤ 0} ⊂ ℝ2 defined by a function u : (-1, 1) → ℝ, u(x) &lt; 0, and a vertical flow of point particles incident on the hollow. It is assumed that u satisfies the so-called single impact condition (SIC): each incident particle is elastically reflected by graph(u) and goes away without hitting the graph of u anymore. We solve the problem: find the function u minimizing the force of resistance created by the flow. We show that the graph of the minimizer is formed by two arcs of parabolas symmetric to each other with respect to the y-axis. Assuming that the resistance of u ≡ 0 equals 1, we show that the minimal resistance equals π/2 - 2arctan(1/2) ≈ 0.6435. This result completes the previously obtained result [SIAM J. Math. Anal., 46 (2014), pp. 2730-2742] stating in particular that the minimal resistance of a hollow in higher dimensions equals 0.5. We additionally consider a similar problem of minimal resistance, where the hollow in the half-space {(x1,...,xd,y) : y ≤ 0} ⊂ ℝd+1 is defined by a radial function U satisfying the SIC, U(x) = u(|x|), with x = (x1,...,xd), u(ξ) &lt; 0 for 0 ≤ ξ &lt; 1, and u(ξ) = 0 for ξ ≥ 1, and the flow is parallel to the y-axis. The minimal resistance is greater than 0.5 (and coincides with 0.6435 when d = 1) and converges to 0.5 as d → ∞.},
  author       = {Akopyan, Arseniy and Plakhov, Alexander},
  journal      = {Society for Industrial and Applied Mathematics},
  number       = {4},
  pages        = {2754 -- 2769},
  publisher    = {SIAM},
  title        = {{Minimal resistance of curves under the single impact assumption}},
  doi          = {10.1137/140993843},
  volume       = {47},
  year         = {2015},
}

@misc{9737,
  author       = {Symonova, Olga and Topp, Christopher and Edelsbrunner, Herbert},
  publisher    = {Public Library of Science},
  title        = {{Root traits computed by DynamicRoots for the maize root shown in fig 2}},
  doi          = {10.1371/journal.pone.0127657.s001},
  year         = {2015},
}

@article{1792,
  abstract     = {Motivated by recent ideas of Harman (Unif. Distrib. Theory, 2010) we develop a new concept of variation of multivariate functions on a compact Hausdorff space with respect to a collection D of subsets. We prove a general version of the Koksma-Hlawka theorem that holds for this notion of variation and discrepancy with respect to D. As special cases, we obtain Koksma-Hlawka inequalities for classical notions, such as extreme or isotropic discrepancy. For extreme discrepancy, our result coincides with the usual Koksma-Hlawka theorem. We show that the space of functions of bounded D-variation contains important discontinuous functions and is closed under natural algebraic operations. Finally, we illustrate the results on concrete integration problems from integral geometry and stereology.},
  author       = {Pausinger, Florian and Svane, Anne},
  journal      = {Journal of Complexity},
  number       = {6},
  pages        = {773 -- 797},
  publisher    = {Academic Press},
  title        = {{A Koksma-Hlawka inequality for general discrepancy systems}},
  doi          = {10.1016/j.jco.2015.06.002},
  volume       = {31},
  year         = {2015},
}

@phdthesis{1399,
  abstract     = {This thesis is concerned with the computation and approximation of intrinsic volumes. Given a smooth body M and a certain digital approximation of it, we develop algorithms to approximate various intrinsic volumes of M using only measurements taken from its digital approximations. The crucial idea behind our novel algorithms is to link the recent theory of persistent homology to the theory of intrinsic volumes via the Crofton formula from integral geometry and, in particular, via Euler characteristic computations. Our main contributions are a multigrid convergent digital algorithm to compute the first intrinsic volume of a solid body in R^n as well as an appropriate integration pipeline to approximate integral-geometric integrals defined over the Grassmannian manifold.},
  author       = {Pausinger, Florian},
  issn         = {2663-337X},
  pages        = {144},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{On the approximation of intrinsic volumes}},
  year         = {2015},
}

@inproceedings{2905,
  abstract     = {Persistent homology is a recent grandchild of homology that has found use in
science and engineering as well as in mathematics. This paper surveys the method as well
as the applications, neglecting completeness in favor of highlighting ideas and directions.},
  author       = {Edelsbrunner, Herbert and Morozovy, Dmitriy},
  location     = {Kraków, Poland},
  pages        = {31 -- 50},
  publisher    = {European Mathematical Society},
  title        = {{Persistent homology: Theory and practice}},
  doi          = {10.4171/120-1/3},
  year         = {2014},
}

@article{1816,
  abstract     = {Watermarking techniques for vector graphics dislocate vertices in order to embed imperceptible, yet detectable, statistical features into the input data. The embedding process may result in a change of the topology of the input data, e.g., by introducing self-intersections, which is undesirable or even disastrous for many applications. In this paper we present a watermarking framework for two-dimensional vector graphics that employs conventional watermarking techniques but still provides the guarantee that the topology of the input data is preserved. The geometric part of this framework computes so-called maximum perturbation regions (MPR) of vertices. We propose two efficient algorithms to compute MPRs based on Voronoi diagrams and constrained triangulations. Furthermore, we present two algorithms to conditionally correct the watermarked data in order to increase the watermark embedding capacity and still guarantee topological correctness. While we focus on the watermarking of input formed by straight-line segments, one of our approaches can also be extended to circular arcs. We conclude the paper by demonstrating and analyzing the applicability of our framework in conjunction with two well-known watermarking techniques.},
  author       = {Huber, Stefan and Held, Martin and Meerwald, Peter and Kwitt, Roland},
  journal      = {International Journal of Computational Geometry and Applications},
  number       = {1},
  pages        = {61 -- 86},
  publisher    = {World Scientific Publishing},
  title        = {{Topology-preserving watermarking of vector graphics}},
  doi          = {10.1142/S0218195914500034},
  volume       = {24},
  year         = {2014},
}

@article{1842,
  abstract     = {We prove polynomial upper bounds of geometric Ramsey numbers of pathwidth-2 outerplanar triangulations in both convex and general cases. We also prove that the geometric Ramsey numbers of the ladder graph on 2n vertices are bounded by O(n3) and O(n10), in the convex and general case, respectively. We then apply similar methods to prove an (Formula presented.) upper bound on the Ramsey number of a path with n ordered vertices.},
  author       = {Cibulka, Josef and Gao, Pu and Krcál, Marek and Valla, Tomáš and Valtr, Pavel},
  journal      = {Discrete & Computational Geometry},
  number       = {1},
  pages        = {64 -- 79},
  publisher    = {Springer},
  title        = {{On the geometric ramsey number of outerplanar graphs}},
  doi          = {10.1007/s00454-014-9646-x},
  volume       = {53},
  year         = {2014},
}

@inproceedings{2012,
  abstract     = {The classical sphere packing problem asks for the best (infinite) arrangement of non-overlapping unit balls which cover as much space as possible. We define a generalized version of the problem, where we allow each ball a limited amount of overlap with other balls. We study two natural choices of overlap measures and obtain the optimal lattice packings in a parameterized family of lattices which contains the FCC, BCC, and integer lattice.},
  author       = {Iglesias Ham, Mabel and Kerber, Michael and Uhler, Caroline},
  booktitle    = {26th Canadian Conference on Computational Geometry},
  location     = {Halifax, Canada},
  pages        = {155--161},
  publisher    = {Canadian Conference on Computational Geometry},
  title        = {{Sphere packing with limited overlap}},
  year         = {2014},
}

@inproceedings{2043,
  abstract     = {Persistent homology is a popular and powerful tool for capturing topological features of data. Advances in algorithms for computing persistent homology have reduced the computation time drastically – as long as the algorithm does not exhaust the available memory. Following up on a recently presented parallel method for persistence computation on shared memory systems [1], we demonstrate that a simple adaption of the standard reduction algorithm leads to a variant for distributed systems. Our algorithmic design ensures that the data is distributed over the nodes without redundancy; this permits the computation of much larger instances than on a single machine. Moreover, we observe that the parallelism at least compensates for the overhead caused by communication between nodes, and often even speeds up the computation compared to sequential and even parallel shared memory algorithms. In our experiments, we were able to compute the persistent homology of filtrations with more than a billion (109) elements within seconds on a cluster with 32 nodes using less than 6GB of memory per node.},
  author       = {Bauer, Ulrich and Kerber, Michael and Reininghaus, Jan},
  booktitle    = {Proceedings of the Workshop on Algorithm Engineering and Experiments},
  editor       = { McGeoch, Catherine and Meyer, Ulrich},
  location     = {Portland, USA},
  pages        = {31 -- 38},
  publisher    = {Society for Industrial and Applied Mathematics},
  title        = {{Distributed computation of persistent homology}},
  doi          = {10.1137/1.9781611973198.4},
  year         = {2014},
}

@inbook{2044,
  abstract     = {We present a parallel algorithm for computing the persistent homology of a filtered chain complex. Our approach differs from the commonly used reduction algorithm by first computing persistence pairs within local chunks, then simplifying the unpaired columns, and finally applying standard reduction on the simplified matrix. The approach generalizes a technique by Günther et al., which uses discrete Morse Theory to compute persistence; we derive the same worst-case complexity bound in a more general context. The algorithm employs several practical optimization techniques, which are of independent interest. Our sequential implementation of the algorithm is competitive with state-of-the-art methods, and we further improve the performance through parallel computation.},
  author       = {Bauer, Ulrich and Kerber, Michael and Reininghaus, Jan},
  booktitle    = {Topological Methods in Data Analysis and Visualization III},
  editor       = {Bremer, Peer-Timo and Hotz, Ingrid and Pascucci, Valerio and Peikert, Ronald},
  pages        = {103 -- 117},
  publisher    = {Springer},
  title        = {{Clear and Compress: Computing Persistent Homology in Chunks}},
  doi          = {10.1007/978-3-319-04099-8_7},
  year         = {2014},
}

@article{1876,
  abstract     = {We study densities of functionals over uniformly bounded triangulations of a Delaunay set of vertices, and prove that the minimum is attained for the Delaunay triangulation if this is the case for finite sets.},
  author       = {Dolbilin, Nikolai and Edelsbrunner, Herbert and Glazyrin, Alexey and Musin, Oleg},
  issn         = {1609-3321},
  journal      = {Moscow Mathematical Journal},
  number       = {3},
  pages        = {491 -- 504},
  publisher    = {Independent University of Moscow},
  title        = {{Functionals on triangulations of delaunay sets}},
  doi          = {10.17323/1609-4514-2014-14-3-491-504},
  volume       = {14},
  year         = {2014},
}

@article{1929,
  abstract     = {We propose an algorithm for the generalization of cartographic objects that can be used to represent maps on different scales.},
  author       = {Alexeev, V V and Bogaevskaya, V G and Preobrazhenskaya, M M and Ukhalov, A Y and Edelsbrunner, Herbert and Yakimova, Olga},
  issn         = {1573-8795},
  journal      = {Journal of Mathematical Sciences},
  number       = {6},
  pages        = {754 -- 760},
  publisher    = {Springer},
  title        = {{An algorithm for cartographic generalization that preserves global topology}},
  doi          = {10.1007/s10958-014-2165-8},
  volume       = {203},
  year         = {2014},
}

@article{1930,
  abstract     = {(Figure Presented) Data acquisition, numerical inaccuracies, and sampling often introduce noise in measurements and simulations. Removing this noise is often necessary for efficient analysis and visualization of this data, yet many denoising techniques change the minima and maxima of a scalar field. For example, the extrema can appear or disappear, spatially move, and change their value. This can lead to wrong interpretations of the data, e.g., when the maximum temperature over an area is falsely reported being a few degrees cooler because the denoising method is unaware of these features. Recently, a topological denoising technique based on a global energy optimization was proposed, which allows the topology-controlled denoising of 2D scalar fields. While this method preserves the minima and maxima, it is constrained by the size of the data. We extend this work to large 2D data and medium-sized 3D data by introducing a novel domain decomposition approach. It allows processing small patches of the domain independently while still avoiding the introduction of new critical points. Furthermore, we propose an iterative refinement of the solution, which decreases the optimization energy compared to the previous approach and therefore gives smoother results that are closer to the input. We illustrate our technique on synthetic and real-world 2D and 3D data sets that highlight potential applications.},
  author       = {Günther, David and Jacobson, Alec and Reininghaus, Jan and Seidel, Hans and Sorkine Hornung, Olga and Weinkauf, Tino},
  journal      = {IEEE Transactions on Visualization and Computer Graphics},
  number       = {12},
  pages        = {2585 -- 2594},
  publisher    = {IEEE},
  title        = {{Fast and memory-efficient topological denoising of 2D and 3D scalar fields}},
  doi          = {10.1109/TVCG.2014.2346432},
  volume       = {20},
  year         = {2014},
}

@inbook{10817,
  abstract     = {The Morse-Smale complex can be either explicitly or implicitly represented. Depending on the type of representation, the simplification of the Morse-Smale complex works differently. In the explicit representation, the Morse-Smale complex is directly simplified by explicitly reconnecting the critical points during the simplification. In the implicit representation, on the other hand, the Morse-Smale complex is given by a combinatorial gradient field. In this setting, the simplification changes the combinatorial flow, which yields an indirect simplification of the Morse-Smale complex. The topological complexity of the Morse-Smale complex is reduced in both representations. However, the simplifications generally yield different results. In this chapter, we emphasize properties of the two representations that cause these differences. We also provide a complexity analysis of the two schemes with respect to running time and memory consumption.},
  author       = {Günther, David and Reininghaus, Jan and Seidel, Hans-Peter and Weinkauf, Tino},
  booktitle    = {Topological Methods in Data Analysis and Visualization III.},
  editor       = {Bremer, Peer-Timo and Hotz, Ingrid and Pascucci, Valerio and Peikert, Ronald},
  isbn         = {9783319040981},
  issn         = {2197-666X},
  pages        = {135--150},
  publisher    = {Springer Nature},
  title        = {{Notes on the simplification of the Morse-Smale complex}},
  doi          = {10.1007/978-3-319-04099-8_9},
  year         = {2014},
}

@inproceedings{10886,
  abstract     = {We propose a method for visualizing two-dimensional symmetric positive definite tensor fields using the Heat Kernel Signature (HKS). The HKS is derived from the heat kernel and was originally introduced as an isometry invariant shape signature. Each positive definite tensor field defines a Riemannian manifold by considering the tensor field as a Riemannian metric. On this Riemmanian manifold we can apply the definition of the HKS. The resulting scalar quantity is used for the visualization of tensor fields. The HKS is closely related to the Gaussian curvature of the Riemannian manifold and the time parameter of the heat kernel allows a multiscale analysis in a natural way. In this way, the HKS represents field related scale space properties, enabling a level of detail analysis of tensor fields. This makes the HKS an interesting new scalar quantity for tensor fields, which differs significantly from usual tensor invariants like the trace or the determinant. A method for visualization and a numerical realization of the HKS for tensor fields is proposed in this chapter. To validate the approach we apply it to some illustrating simple examples as isolated critical points and to a medical diffusion tensor data set.},
  author       = {Zobel, Valentin and Reininghaus, Jan and Hotz, Ingrid},
  booktitle    = {Topological Methods in Data Analysis and Visualization III },
  isbn         = {9783319040981},
  issn         = {2197-666X},
  pages        = {249--262},
  publisher    = {Springer},
  title        = {{Visualization of two-dimensional symmetric positive definite tensor fields using the heat kernel signature}},
  doi          = {10.1007/978-3-319-04099-8_16},
  year         = {2014},
}

@inproceedings{10892,
  abstract     = {In this paper, we introduce planar matchings on directed pseudo-line arrangements, which yield a planar set of pseudo-line segments such that only matching-partners are adjacent. By translating the planar matching problem into a corresponding stable roommates problem we show that such matchings always exist.
Using our new framework, we establish, for the first time, a complete, rigorous definition of weighted straight skeletons, which are based on a so-called wavefront propagation process. We present a generalized and unified approach to treat structural changes in the wavefront that focuses on the restoration of weak planarity by finding planar matchings.},
  author       = {Biedl, Therese and Huber, Stefan and Palfrader, Peter},
  booktitle    = {25th International Symposium, ISAAC 2014},
  isbn         = {9783319130743},
  issn         = {1611-3349},
  location     = {Jeonju, Korea},
  pages        = {117--127},
  publisher    = {Springer Nature},
  title        = {{Planar matchings for weighted straight skeletons}},
  doi          = {10.1007/978-3-319-13075-0_10},
  volume       = {8889},
  year         = {2014},
}

@inbook{10893,
  abstract     = {Saddle periodic orbits are an essential and stable part of the topological skeleton of a 3D vector field. Nevertheless, there is currently no efficient algorithm to robustly extract these features. In this chapter, we present a novel technique to extract saddle periodic orbits. Exploiting the analytic properties of such an orbit, we propose a scalar measure based on the finite-time Lyapunov exponent (FTLE) that indicates its presence. Using persistent homology, we can then extract the robust cycles of this field. These cycles thereby represent the saddle periodic orbits of the given vector field. We discuss the different existing FTLE approximation schemes regarding their applicability to this specific problem and propose an adapted version of FTLE called Normalized Velocity Separation. Finally, we evaluate our method using simple analytic vector field data.},
  author       = {Kasten, Jens and Reininghaus, Jan and Reich, Wieland and Scheuermann, Gerik},
  booktitle    = {Topological Methods in Data Analysis and Visualization III },
  editor       = {Bremer, Peer-Timo and Hotz, Ingrid and Pascucci, Valerio and Peikert, Ronald},
  isbn         = {9783319040981},
  issn         = {2197-666X},
  pages        = {55--69},
  publisher    = {Springer},
  title        = {{Toward the extraction of saddle periodic orbits}},
  doi          = {10.1007/978-3-319-04099-8_4},
  volume       = {1},
  year         = {2014},
}

