TY - JOUR AB - Voronoi diagrams and Delaunay triangulations have been extensively used to represent and compute geometric features of point configurations. We introduce a generalization to poset diagrams and poset complexes, which contain order-k and degree-k Voronoi diagrams and their duals as special cases. Extending a result of Aurenhammer from 1990, we show how to construct poset diagrams as weighted Voronoi diagrams of average balls. AU - Edelsbrunner, Herbert AU - Iglesias Ham, Mabel ID - 1295 JF - Electronic Notes in Discrete Mathematics TI - Multiple covers with balls II: Weighted averages VL - 54 ER - TY - JOUR AB - We give explicit formulas and algorithms for the computation of the Thurston–Bennequin invariant of a nullhomologous Legendrian knot on a page of a contact open book and on Heegaard surfaces in convex position. Furthermore, we extend the results to rationally nullhomologous knots in arbitrary 3-manifolds. AU - Durst, Sebastian AU - Kegel, Marc AU - Klukas, Mirko D ID - 1292 IS - 2 JF - Acta Mathematica Hungarica TI - Computing the Thurston–Bennequin invariant in open books VL - 150 ER - TY - JOUR AB - In this paper we investigate the existence of closed billiard trajectories in not necessarily smooth convex bodies. In particular, we show that if a body K ⊂ Rd has the property that the tangent cone of every non-smooth point q ∉ ∂K is acute (in a certain sense), then there is a closed billiard trajectory in K. AU - Akopyan, Arseniy AU - Balitskiy, Alexey ID - 1330 IS - 2 JF - Israel Journal of Mathematics TI - Billiards in convex bodies with acute angles VL - 216 ER - TY - JOUR AB - We apply the technique of Károly Bezdek and Daniel Bezdek to study billiard trajectories in convex bodies, when the length is measured with a (possibly asymmetric) norm. We prove a lower bound for the length of the shortest closed billiard trajectory, related to the non-symmetric Mahler problem. With this technique we are able to give short and elementary proofs to some known results. AU - Akopyan, Arseniy AU - Balitskiy, Alexey AU - Karasev, Roman AU - Sharipova, Anastasia ID - 1360 IS - 10 JF - Proceedings of the American Mathematical Society TI - Elementary approach to closed billiard trajectories in asymmetric normed spaces VL - 144 ER - TY - JOUR AB - The concept of well group in a special but important case captures homological properties of the zero set of a continuous map (Formula presented.) on a compact space K that are invariant with respect to perturbations of f. The perturbations are arbitrary continuous maps within (Formula presented.) distance r from f for a given (Formula presented.). The main drawback of the approach is that the computability of well groups was shown only when (Formula presented.) or (Formula presented.). Our contribution to the theory of well groups is twofold: on the one hand we improve on the computability issue, but on the other hand we present a range of examples where the well groups are incomplete invariants, that is, fail to capture certain important robust properties of the zero set. For the first part, we identify a computable subgroup of the well group that is obtained by cap product with the pullback of the orientation of (Formula presented.) by f. In other words, well groups can be algorithmically approximated from below. When f is smooth and (Formula presented.), our approximation of the (Formula presented.)th well group is exact. For the second part, we find examples of maps (Formula presented.) with all well groups isomorphic but whose perturbations have different zero sets. We discuss on a possible replacement of the well groups of vector valued maps by an invariant of a better descriptive power and computability status. AU - Franek, Peter AU - Krcál, Marek ID - 1408 IS - 1 JF - Discrete & Computational Geometry TI - On computability and triviality of well groups VL - 56 ER - TY - JOUR AB - Aiming at the automatic diagnosis of tumors using narrow band imaging (NBI) magnifying endoscopic (ME) images of the stomach, we combine methods from image processing, topology, geometry, and machine learning to classify patterns into three classes: oval, tubular and irregular. Training the algorithm on a small number of images of each type, we achieve a high rate of correct classifications. The analysis of the learning algorithm reveals that a handful of geometric and topological features are responsible for the overwhelming majority of decisions. AU - Dunaeva, Olga AU - Edelsbrunner, Herbert AU - Lukyanov, Anton AU - Machin, Michael AU - Malkova, Daria AU - Kuvaev, Roman AU - Kashin, Sergey ID - 1289 IS - 1 JF - Pattern Recognition Letters TI - The classification of endoscopy images with persistent homology VL - 83 ER - TY - JOUR AB - We study the discrepancy of jittered sampling sets: such a set P⊂ [0,1]d is generated for fixed m∈ℕ by partitioning [0,1]d into md axis aligned cubes of equal measure and placing a random point inside each of the N=md cubes. We prove that, for N sufficiently large, 1/10 d/N1/2+1/2d ≤EDN∗(P)≤ √d(log N) 1/2/N1/2+1/2d, where the upper bound with an unspecified constant Cd was proven earlier by Beck. Our proof makes crucial use of the sharp Dvoretzky-Kiefer-Wolfowitz inequality and a suitably taylored Bernstein inequality; we have reasons to believe that the upper bound has the sharp scaling in N. Additional heuristics suggest that jittered sampling should be able to improve known bounds on the inverse of the star-discrepancy in the regime N≳dd. We also prove a partition principle showing that every partition of [0,1]d combined with a jittered sampling construction gives rise to a set whose expected squared L2-discrepancy is smaller than that of purely random points. AU - Pausinger, Florian AU - Steinerberger, Stefan ID - 1617 JF - Journal of Complexity TI - On the discrepancy of jittered sampling VL - 33 ER - TY - CONF AB - Although the concept of functional plane for naive plane is studied and reported in the literature in great detail, no similar study is yet found for naive sphere. This article exposes the first study in this line, opening up further prospects of analyzing the topological properties of sphere in the discrete space. We show that each quadraginta octant Q of a naive sphere forms a bijection with its projected pixel set on a unique coordinate plane, which thereby serves as the functional plane of Q, and hence gives rise to merely mono-jumps during back projection. The other two coordinate planes serve as para-functional and dia-functional planes for Q, as the former is ‘mono-jumping’ but not bijective, whereas the latter holds neither of the two. Owing to this, the quadraginta octants form symmetry groups and subgroups with equivalent jump conditions. We also show a potential application in generating a special class of discrete 3D circles based on back projection and jump bridging by Steiner voxels. A circle in this class possesses 4-symmetry, uniqueness, and bounded distance from the underlying real sphere and real plane. AU - Biswas, Ranita AU - Bhowmick, Partha ID - 5806 SN - 0302-9743 T2 - Discrete Geometry for Computer Imagery TI - On functionality of quadraginta octants of naive sphere with application to circle drawing VL - 9647 ER - TY - CHAP AB - Discretization of sphere in the integer space follows a particular discretization scheme, which, in principle, conforms to some topological model. This eventually gives rise to interesting topological properties of a discrete spherical surface, which need to be investigated for its analytical characterization. This paper presents some novel results on the local topological properties of the naive model of discrete sphere. They follow from the bijection of each quadraginta octant of naive sphere with its projection map called f -map on the corresponding functional plane and from the characterization of certain jumps in the f-map. As an application, we have shown how these properties can be used in designing an efficient reconstruction algorithm for a naive spherical surface from an input voxel set when it is sparse or noisy. AU - Sen, Nabhasmita AU - Biswas, Ranita AU - Bhowmick, Partha ID - 5805 SN - 0302-9743 T2 - Computational Topology in Image Context TI - On some local topological properties of naive discrete sphere VL - 9667 ER - TY - CHAP AB - A discrete spherical circle is a topologically well-connected 3D circle in the integer space, which belongs to a discrete sphere as well as a discrete plane. It is one of the most important 3D geometric primitives, but has not possibly yet been studied up to its merit. This paper is a maiden exposition of some of its elementary properties, which indicates a sense of its profound theoretical prospects in the framework of digital geometry. We have shown how different types of discretization can lead to forbidden and admissible classes, when one attempts to define the discretization of a spherical circle in terms of intersection between a discrete sphere and a discrete plane. Several fundamental theoretical results have been presented, the algorithm for construction of discrete spherical circles has been discussed, and some test results have been furnished to demonstrate its practicality and usefulness. AU - Biswas, Ranita AU - Bhowmick, Partha AU - Brimkov, Valentin E. ID - 5809 SN - 0302-9743 T2 - Combinatorial image analysis TI - On the connectivity and smoothness of discrete spherical circles VL - 9448 ER - TY - JOUR AB - We introduce a modification of the classic notion of intrinsic volume using persistence moments of height functions. Evaluating the modified first intrinsic volume on digital approximations of a compact body with smoothly embedded boundary in Rn, we prove convergence to the first intrinsic volume of the body as the resolution of the approximation improves. We have weaker results for the other modified intrinsic volumes, proving they converge to the corresponding intrinsic volumes of the n-dimensional unit ball. AU - Edelsbrunner, Herbert AU - Pausinger, Florian ID - 1662 JF - Advances in Mathematics TI - Approximation and convergence of the intrinsic volume VL - 287 ER - TY - CONF AB - We consider the problem of statistical computations with persistence diagrams, a summary representation of topological features in data. These diagrams encode persistent homology, a widely used invariant in topological data analysis. While several avenues towards a statistical treatment of the diagrams have been explored recently, we follow an alternative route that is motivated by the success of methods based on the embedding of probability measures into reproducing kernel Hilbert spaces. In fact, a positive definite kernel on persistence diagrams has recently been proposed, connecting persistent homology to popular kernel-based learning techniques such as support vector machines. However, important properties of that kernel enabling a principled use in the context of probability measure embeddings remain to be explored. Our contribution is to close this gap by proving universality of a variant of the original kernel, and to demonstrate its effective use in twosample hypothesis testing on synthetic as well as real-world data. AU - Kwitt, Roland AU - Huber, Stefan AU - Niethammer, Marc AU - Lin, Weili AU - Bauer, Ulrich ID - 1424 TI - Statistical topological data analysis-A kernel perspective VL - 28 ER - TY - CONF AB - Topological data analysis offers a rich source of valuable information to study vision problems. Yet, so far we lack a theoretically sound connection to popular kernel-based learning techniques, such as kernel SVMs or kernel PCA. In this work, we establish such a connection by designing a multi-scale kernel for persistence diagrams, a stable summary representation of topological features in data. We show that this kernel is positive definite and prove its stability with respect to the 1-Wasserstein distance. Experiments on two benchmark datasets for 3D shape classification/retrieval and texture recognition show considerable performance gains of the proposed method compared to an alternative approach that is based on the recently introduced persistence landscapes. AU - Reininghaus, Jan AU - Huber, Stefan AU - Bauer, Ulrich AU - Kwitt, Roland ID - 1483 TI - A stable multi-scale kernel for topological machine learning ER - TY - CONF AB - Motivated by biological questions, we study configurations of equal-sized disks in the Euclidean plane that neither pack nor cover. Measuring the quality by the probability that a random point lies in exactly one disk, we show that the regular hexagonal grid gives the maximum among lattice configurations. AU - Edelsbrunner, Herbert AU - Iglesias Ham, Mabel AU - Kurlin, Vitaliy ID - 1495 T2 - Proceedings of the 27th Canadian Conference on Computational Geometry TI - Relaxed disk packing VL - 2015-August ER - TY - CONF AB - The concept of well group in a special but important case captures homological properties of the zero set of a continuous map f from K to R^n on a compact space K that are invariant with respect to perturbations of f. The perturbations are arbitrary continuous maps within L_infty distance r from f for a given r > 0. The main drawback of the approach is that the computability of well groups was shown only when dim K = n or n = 1. Our contribution to the theory of well groups is twofold: on the one hand we improve on the computability issue, but on the other hand we present a range of examples where the well groups are incomplete invariants, that is, fail to capture certain important robust properties of the zero set. For the first part, we identify a computable subgroup of the well group that is obtained by cap product with the pullback of the orientation of R^n by f. In other words, well groups can be algorithmically approximated from below. When f is smooth and dim K < 2n-2, our approximation of the (dim K-n)th well group is exact. For the second part, we find examples of maps f, f' from K to R^n with all well groups isomorphic but whose perturbations have different zero sets. We discuss on a possible replacement of the well groups of vector valued maps by an invariant of a better descriptive power and computability status. AU - Franek, Peter AU - Krcál, Marek ID - 1510 TI - On computability and triviality of well groups VL - 34 ER - TY - CHAP AB - The Heat Kernel Signature (HKS) is a scalar quantity which is derived from the heat kernel of a given shape. Due to its robustness, isometry invariance, and multiscale nature, it has been successfully applied in many geometric applications. From a more general point of view, the HKS can be considered as a descriptor of the metric of a Riemannian manifold. Given a symmetric positive definite tensor field we may interpret it as the metric of some Riemannian manifold and thereby apply the HKS to visualize and analyze the given tensor data. In this paper, we propose a generalization of this approach that enables the treatment of indefinite tensor fields, like the stress tensor, by interpreting them as a generator of a positive definite tensor field. To investigate the usefulness of this approach we consider the stress tensor from the two-point-load model example and from a mechanical work piece. AU - Zobel, Valentin AU - Reininghaus, Jan AU - Hotz, Ingrid ED - Hotz, Ingrid ED - Schultz, Thomas ID - 1531 SN - 978-3-319-15089-5 T2 - Visualization and Processing of Higher Order Descriptors for Multi-Valued Data TI - Visualizing symmetric indefinite 2D tensor fields using The Heat Kernel Signature VL - 40 ER - TY - JOUR AB - We show that incorporating spatial dispersal of individuals into a simple vaccination epidemic model may give rise to a model that exhibits rich dynamical behavior. Using an SIVS (susceptible-infected-vaccinated-susceptible) model as a basis, we describe the spread of an infectious disease in a population split into two regions. In each subpopulation, both forward and backward bifurcations can occur. This implies that for disconnected regions the two-patch system may admit several steady states. We consider traveling between the regions and investigate the impact of spatial dispersal of individuals on the model dynamics. We establish conditions for the existence of multiple nontrivial steady states in the system, and we study the structure of the equilibria. The mathematical analysis reveals an unusually rich dynamical behavior, not normally found in the simple epidemic models. In addition to the disease-free equilibrium, eight endemic equilibria emerge from backward transcritical and saddle-node bifurcation points, forming an interesting bifurcation diagram. Stability of steady states, their bifurcations, and the global dynamics are investigated with analytical tools, numerical simulations, and rigorous set-oriented numerical computations. AU - Knipl, Diána AU - Pilarczyk, Pawel AU - Röst, Gergely ID - 1555 IS - 2 JF - SIAM Journal on Applied Dynamical Systems TI - Rich bifurcation structure in a two patch vaccination model VL - 14 ER - TY - CONF AB - Aiming at the automatic diagnosis of tumors from narrow band imaging (NBI) magnifying endoscopy (ME) images of the stomach, we combine methods from image processing, computational topology, and machine learning to classify patterns into normal, tubular, vessel. Training the algorithm on a small number of images of each type, we achieve a high rate of correct classifications. The analysis of the learning algorithm reveals that a handful of geometric and topological features are responsible for the overwhelming majority of decisions. AU - Dunaeva, Olga AU - Edelsbrunner, Herbert AU - Lukyanov, Anton AU - Machin, Michael AU - Malkova, Daria ID - 1568 T2 - Proceedings - 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing TI - The classification of endoscopy images with persistent homology ER - TY - CONF AB - My personal journey to the fascinating world of geometric forms started more than 30 years ago with the invention of alpha shapes in the plane. It took about 10 years before we generalized the concept to higher dimensions, we produced working software with a graphics interface for the three-dimensional case. At the same time, we added homology to the computations. Needless to say that this foreshadowed the inception of persistent homology, because it suggested the study of filtrations to capture the scale of a shape or data set. Importantly, this method has fast algorithms. The arguably most useful result on persistent homology is the stability of its diagrams under perturbations. AU - Edelsbrunner, Herbert ID - 1567 T2 - 23rd International Symposium TI - Shape, homology, persistence, and stability VL - 9411 ER - TY - JOUR AB - For a given self-map $f$ of $M$, a closed smooth connected and simply-connected manifold of dimension $m\geq 4$, we provide an algorithm for estimating the values of the topological invariant $D^m_r[f]$, which equals the minimal number of $r$-periodic points in the smooth homotopy class of $f$. Our results are based on the combinatorial scheme for computing $D^m_r[f]$ introduced by G. Graff and J. Jezierski [J. Fixed Point Theory Appl. 13 (2013), 63-84]. An open-source implementation of the algorithm programmed in C++ is publicly available at {\tt http://www.pawelpilarczyk.com/combtop/}. AU - Graff, Grzegorz AU - Pilarczyk, Pawel ID - 1563 IS - 1 JF - Topological Methods in Nonlinear Analysis TI - An algorithmic approach to estimating the minimal number of periodic points for smooth self-maps of simply-connected manifolds VL - 45 ER - TY - JOUR AB - We prove that the dual of the digital Voronoi diagram constructed by flooding the plane from the data points gives a geometrically and topologically correct dual triangulation. This provides the proof of correctness for recently developed GPU algorithms that outperform traditional CPU algorithms for constructing two-dimensional Delaunay triangulations. AU - Cao, Thanhtung AU - Edelsbrunner, Herbert AU - Tan, Tiowseng ID - 1578 IS - 7 JF - Computational Geometry TI - Triangulations from topologically correct digital Voronoi diagrams VL - 48 ER - TY - JOUR AB - 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. AU - Biedl, Therese AU - Held, Martin AU - Huber, Stefan AU - Kaaser, Dominik AU - Palfrader, Peter ID - 1584 IS - 5 JF - Computational Geometry: Theory and Applications TI - Reprint of: Weighted straight skeletons in the plane VL - 48 ER - TY - JOUR AB - 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. AU - Biedl, Therese AU - Held, Martin AU - Huber, Stefan AU - Kaaser, Dominik AU - Palfrader, Peter ID - 1582 IS - 2 JF - Computational Geometry: Theory and Applications TI - Weighted straight skeletons in the plane VL - 48 ER - TY - JOUR AB - We study the characteristics of straight skeletons of monotone polygonal chains and use them to devise an algorithm for computing positively weighted straight skeletons of monotone polygons. Our algorithm runs in O(nlogn) time and O(n) space, where n denotes the number of vertices of the polygon. AU - Biedl, Therese AU - Held, Martin AU - Huber, Stefan AU - Kaaser, Dominik AU - Palfrader, Peter ID - 1583 IS - 2 JF - Information Processing Letters TI - A simple algorithm for computing positively weighted straight skeletons of monotone polygons VL - 115 ER - TY - CHAP AB - 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. AU - Aichholzer, Oswin AU - Biedl, Therese AU - Hackl, Thomas AU - Held, Martin AU - Huber, Stefan AU - Palfrader, Peter AU - Vogtenhuber, Birgit ID - 1590 SN - 978-3-319-27260-3 T2 - Graph Drawing and Network Visualization TI - Representing directed trees as straight skeletons VL - 9411 ER - TY - JOUR AB - 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 > 0, it holds that each function g: K → ℝn such that ||g - f || ∞ < 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 > 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. AU - Franek, Peter AU - Krcál, Marek ID - 1682 IS - 4 JF - Journal of the ACM TI - Robust satisfiability of systems of equations VL - 62 ER - TY - JOUR AB - We consider the hollow on the half-plane {(x, y) : y ≤ 0} ⊂ ℝ2 defined by a function u : (-1, 1) → ℝ, u(x) < 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) < 0 for 0 ≤ ξ < 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 → ∞. AU - Akopyan, Arseniy AU - Plakhov, Alexander ID - 1710 IS - 4 JF - Society for Industrial and Applied Mathematics TI - Minimal resistance of curves under the single impact assumption VL - 47 ER - TY - JOUR AB - We construct a non-linear Markov process connected with a biological model of a bacterial genome recombination. The description of invariant measures of this process gives us the solution of one problem in elementary probability theory. AU - Akopyan, Arseniy AU - Pirogov, Sergey AU - Rybko, Aleksandr ID - 1828 IS - 1 JF - Journal of Statistical Physics TI - Invariant measures of genetic recombination process VL - 160 ER - TY - JOUR AB - We numerically investigate the distribution of extrema of 'chaotic' Laplacian eigenfunctions on two-dimensional manifolds. Our contribution is two-fold: (a) we count extrema on grid graphs with a small number of randomly added edges and show the behavior to coincide with the 1957 prediction of Longuet-Higgins for the continuous case and (b) we compute the regularity of their spatial distribution using discrepancy, which is a classical measure from the theory of Monte Carlo integration. The first part suggests that grid graphs with randomly added edges should behave like two-dimensional surfaces with ergodic geodesic flow; in the second part we show that the extrema are more regularly distributed in space than the grid Z2. AU - Pausinger, Florian AU - Steinerberger, Stefan ID - 1938 IS - 6 JF - Physics Letters, Section A TI - On the distribution of local extrema in quantum chaos VL - 379 ER - TY - JOUR AB - Considering a continuous self-map and the induced endomorphism on homology, we study the eigenvalues and eigenspaces of the latter. Taking a filtration of representations, we define the persistence of the eigenspaces, effectively introducing a hierarchical organization of the map. The algorithm that computes this information for a finite sample is proved to be stable, and to give the correct answer for a sufficiently dense sample. Results computed with an implementation of the algorithm provide evidence of its practical utility. AU - Edelsbrunner, Herbert AU - Jablonski, Grzegorz AU - Mrozek, Marian ID - 2035 IS - 5 JF - Foundations of Computational Mathematics TI - The persistent homology of a self-map VL - 15 ER - TY - JOUR AB - We consider the problem of deciding whether the persistent homology group of a simplicial pair (K,L) can be realized as the homology H∗(X) of some complex X with L ⊂ X ⊂ K. We show that this problem is NP-complete even if K is embedded in double-struck R3. As a consequence, we show that it is NP-hard to simplify level and sublevel sets of scalar functions on double-struck S3 within a given tolerance constraint. This problem has relevance to the visualization of medical images by isosurfaces. We also show an implication to the theory of well groups of scalar functions: not every well group can be realized by some level set, and deciding whether a well group can be realized is NP-hard. AU - Attali, Dominique AU - Bauer, Ulrich AU - Devillers, Olivier AU - Glisse, Marc AU - Lieutier, André ID - 1805 IS - 8 JF - Computational Geometry: Theory and Applications TI - Homological reconstruction and simplification in R3 VL - 48 ER - TY - JOUR AB - We present a software platform for reconstructing and analyzing the growth of a plant root system from a time-series of 3D voxelized shapes. It aligns the shapes with each other, constructs a geometric graph representation together with the function that records the time of growth, and organizes the branches into a hierarchy that reflects the order of creation. The software includes the automatic computation of structural and dynamic traits for each root in the system enabling the quantification of growth on fine-scale. These are important advances in plant phenotyping with applications to the study of genetic and environmental influences on growth. AU - Symonova, Olga AU - Topp, Christopher AU - Edelsbrunner, Herbert ID - 1793 IS - 6 JF - PLoS One TI - DynamicRoots: A software platform for the reconstruction and analysis of growing plant roots VL - 10 ER - TY - GEN AU - Symonova, Olga AU - Topp, Christopher AU - Edelsbrunner, Herbert ID - 9737 TI - Root traits computed by DynamicRoots for the maize root shown in fig 2 ER - TY - JOUR AB - 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. AU - Pausinger, Florian AU - Svane, Anne ID - 1792 IS - 6 JF - Journal of Complexity TI - A Koksma-Hlawka inequality for general discrepancy systems VL - 31 ER - TY - THES AB - 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. AU - Pausinger, Florian ID - 1399 SN - 2663-337X TI - On the approximation of intrinsic volumes ER - TY - CHAP AB - 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. AU - Kasten, Jens AU - Reininghaus, Jan AU - Reich, Wieland AU - Scheuermann, Gerik ED - Bremer, Peer-Timo ED - Hotz, Ingrid ED - Pascucci, Valerio ED - Peikert, Ronald ID - 10893 SN - 1612-3786 T2 - Topological Methods in Data Analysis and Visualization III TI - Toward the extraction of saddle periodic orbits VL - 1 ER - TY - JOUR AB - 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. AU - Huber, Stefan AU - Held, Martin AU - Meerwald, Peter AU - Kwitt, Roland ID - 1816 IS - 1 JF - International Journal of Computational Geometry and Applications TI - Topology-preserving watermarking of vector graphics VL - 24 ER - TY - JOUR AB - 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. AU - Cibulka, Josef AU - Gao, Pu AU - Krcál, Marek AU - Valla, Tomáš AU - Valtr, Pavel ID - 1842 IS - 1 JF - Discrete & Computational Geometry TI - On the geometric ramsey number of outerplanar graphs VL - 53 ER - TY - JOUR AB - 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. AU - Dolbilin, Nikolai AU - Edelsbrunner, Herbert AU - Glazyrin, Alexey AU - Musin, Oleg ID - 1876 IS - 3 JF - Moscow Mathematical Journal SN - 16093321 TI - Functionals on triangulations of delaunay sets VL - 14 ER - TY - JOUR AB - We propose an algorithm for the generalization of cartographic objects that can be used to represent maps on different scales. AU - Alexeev, V V AU - Bogaevskaya, V G AU - Preobrazhenskaya, M M AU - Ukhalov, A Y AU - Edelsbrunner, Herbert AU - Yakimova, Olga ID - 1929 IS - 6 JF - Journal of Mathematical Sciences SN - 1072-3374 TI - An algorithm for cartographic generalization that preserves global topology VL - 203 ER - TY - JOUR AB - (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. AU - Günther, David AU - Jacobson, Alec AU - Reininghaus, Jan AU - Seidel, Hans AU - Sorkine Hornung, Olga AU - Weinkauf, Tino ID - 1930 IS - 12 JF - IEEE Transactions on Visualization and Computer Graphics TI - Fast and memory-efficient topological denoising of 2D and 3D scalar fields VL - 20 ER - TY - CONF AB - 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. AU - Bauer, Ulrich AU - Kerber, Michael AU - Reininghaus, Jan ED - McGeoch, Catherine ED - Meyer, Ulrich ID - 2043 T2 - Proceedings of the Workshop on Algorithm Engineering and Experiments TI - Distributed computation of persistent homology ER - TY - CHAP AB - 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. AU - Bauer, Ulrich AU - Kerber, Michael AU - Reininghaus, Jan ED - Bremer, Peer-Timo ED - Hotz, Ingrid ED - Pascucci, Valerio ED - Peikert, Ronald ID - 2044 T2 - Topological Methods in Data Analysis and Visualization III TI - Clear and Compress: Computing Persistent Homology in Chunks ER - TY - CONF AB - We define a simple, explicit map sending a morphism f : M → N of pointwise finite dimensional persistence modules to a matching between the barcodes of M and N. Our main result is that, in a precise sense, the quality of this matching is tightly controlled by the lengths of the longest intervals in the barcodes of ker f and coker f . As an immediate corollary, we obtain a new proof of the algebraic stability theorem for persistence barcodes [5, 9], a fundamental result in the theory of persistent homology. In contrast to previous proofs, ours shows explicitly how a δ-interleaving morphism between two persistence modules induces a δ-matching between the barcodes of the two modules. Our main result also specializes to a structure theorem for submodules and quotients of persistence modules. Copyright is held by the owner/author(s). AU - Bauer, Ulrich AU - Lesnick, Michael ID - 2153 T2 - Proceedings of the Annual Symposium on Computational Geometry TI - Induced matchings of barcodes and the algebraic stability of persistence ER - TY - CONF AB - We propose a metric for Reeb graphs, called the functional distortion distance. Under this distance, the Reeb graph is stable against small changes of input functions. At the same time, it remains discriminative at differentiating input functions. In particular, the main result is that the functional distortion distance between two Reeb graphs is bounded from below by the bottleneck distance between both the ordinary and extended persistence diagrams for appropriate dimensions. As an application of our results, we analyze a natural simplification scheme for Reeb graphs, and show that persistent features in Reeb graph remains persistent under simplification. Understanding the stability of important features of the Reeb graph under simplification is an interesting problem on its own right, and critical to the practical usage of Reeb graphs. Copyright is held by the owner/author(s). AU - Bauer, Ulrich AU - Ge, Xiaoyin AU - Wang, Yusu ID - 2156 T2 - Proceedings of the Annual Symposium on Computational Geometry TI - Measuring distance between Reeb graphs ER - TY - CONF AB - Given a finite set of points in Rn and a positive radius, we study the Čech, Delaunay-Čech, alpha, and wrap complexes as instances of a generalized discrete Morse theory. We prove that the latter three complexes are simple-homotopy equivalent. Our results have applications in topological data analysis and in the reconstruction of shapes from sampled data. Copyright is held by the owner/author(s). AU - Bauer, Ulrich AU - Edelsbrunner, Herbert ID - 2155 T2 - Proceedings of the Annual Symposium on Computational Geometry TI - The morse theory of Čech and Delaunay filtrations ER - TY - CONF AB - We give evidence for the difficulty of computing Betti numbers of simplicial complexes over a finite field. We do this by reducing the rank computation for sparse matrices with to non-zero entries to computing Betti numbers of simplicial complexes consisting of at most a constant times to simplices. Together with the known reduction in the other direction, this implies that the two problems have the same computational complexity. AU - Edelsbrunner, Herbert AU - Parsa, Salman ID - 2177 T2 - Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms TI - On the computational complexity of betti numbers reductions from matrix rank ER - TY - JOUR AB - Given topological spaces X,Y, a fundamental problem of algebraic topology is understanding the structure of all continuous maps X→ Y. We consider a computational version, where X,Y are given as finite simplicial complexes, and the goal is to compute [X,Y], that is, all homotopy classes of suchmaps.We solve this problem in the stable range, where for some d ≥ 2, we have dim X ≤ 2d-2 and Y is (d-1)-connected; in particular, Y can be the d-dimensional sphere Sd. The algorithm combines classical tools and ideas from homotopy theory (obstruction theory, Postnikov systems, and simplicial sets) with algorithmic tools from effective algebraic topology (locally effective simplicial sets and objects with effective homology). In contrast, [X,Y] is known to be uncomputable for general X,Y, since for X = S1 it includes a well known undecidable problem: testing triviality of the fundamental group of Y. In follow-up papers, the algorithm is shown to run in polynomial time for d fixed, and extended to other problems, such as the extension problem, where we are given a subspace A ⊂ X and a map A→ Y and ask whether it extends to a map X → Y, or computing the Z2-index-everything in the stable range. Outside the stable range, the extension problem is undecidable. AU - Čadek, Martin AU - Krcál, Marek AU - Matoušek, Jiří AU - Sergeraert, Francis AU - Vokřínek, Lukáš AU - Wagner, Uli ID - 2184 IS - 3 JF - Journal of the ACM TI - Computing all maps into a sphere VL - 61 ER - TY - CONF AB - 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. AU - Edelsbrunner, Herbert AU - Morozovy, Dmitriy ID - 2905 TI - Persistent homology: Theory and practice ER - TY - CONF AB - 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. AU - Biedl, Therese AU - Huber, Stefan AU - Palfrader, Peter ID - 10892 SN - 0302-9743 T2 - 25th International Symposium, ISAAC 2014 TI - Planar matchings for weighted straight skeletons VL - 8889 ER -