I have the pleasure of heading the Discrete Differential Geometry Lab at the University of Goettingen. Currently, I am also acting as the math department's dean of studies.
Discrete Differential Geometry, Geometry Processing, Computational Topology, Physical Simulation, Computer Graphics.

Institute of Num. and Appl. Math University of Göttingen Lotzestr. 1618 37083 Göttingen, Germany 
Vox: +49 (0)551 3922235 Fax: +49 (0)551 3933944 Net: lastname (at) math.unigoettingen.de 

Variational Convergence of Discrete Minimal Surfaces Henrik Schumacher and Max Wardetzky. Abstract: Building on and extending tools from variational analysis, we prove Kuratowski convergence of sets of simplicial area minimizers to minimizers of the smooth DouglasPlateau problem under simplicial refinement. This convergence is with respect to a topology that is stronger than uniform convergence of both positions and surface normals. [arXiv] 

Natural Boundary Conditions for Smoothing in Geometry Processing Oded Stein, Eitan Grinspun, Max Wardetzky, and Alec Jacobson. Abstract: In geometry processing, smoothness energies are commonly used to model scattered data interpolation, dense data denoising, and regularization during shape optimization. The squared Laplacian energy is a popular choice of energy and has a corresponding standard implementation: squaring the discrete Laplacian matrix. For compact domains, when values along the boundary are not known in advance, this construction bakes in loworder boundary conditions. This causes the geometric shape of the boundary to strongly bias the solution. For many applications, this is undesirable. Instead, we propose using the squared Frobenius norm of the Hessian as a smoothness energy. Unlike the squared Laplacian energy, this energy?s natural boundary conditions (those that best minimize the energy) correspond to meaningful highorder boundary conditions. These boundary conditions model free boundaries where the shape of the boundary should not bias the solution locally. Our analysis begins in the smooth setting and concludes with discretizations using finite diffrences on 2D grids or mixed nite elements for triangle meshes. We demonstrate the core behavior of the squared Hessian as a smoothness energy for various tasks. [arXiv] 

Topology counts: force distributions in circular spring networks Knut M. Heidemann, Andrew O. SagemanFurnas, Abhinav Sharma, Florian Rehfeldt, Christoph F. Schmidt, and Max Wardetzky. Phys. Rev. Lett. 120, 068001, 2018. Abstract: Filamentous polymer networks govern the mechanical properties of many biological materials. Force distributions within these networks are typically highly inhomogeneous, and, although the importance of force distributions for structural properties is well recognized, they are far from being understood quantitatively. Using a combination of probabilistic and graphtheoretical techniques, we derive force distributions in a model system consisting of ensembles of random linear spring networks on a circle. We show that characteristic quantities, such as the mean and variance of the force supported by individual springs, can be derived explicitly in terms of only two parameters: (i) average connectivity and (ii) number of nodes. Our analysis shows that a classical meanfield approach fails to capture these characteristic quantities correctly. In contrast, we demonstrate that network topology is a crucial determinant of force distributions in an elastic spring network. Our results for 1D linear spring networks readily generalize to arbitrary dimensions. [PRL] 

Topology determines force distributions in onedimensional random spring networks Knut M. Heidemann, Andrew O. SagemanFurnas, Abhinav Sharma, Florian Rehfeldt, Christoph F. Schmidt, and Max Wardetzky. Phys. Rev. E, 2018. Abstract: Networks of elastic fibers are ubiquitous in biological systems and often provide mechanical stability to cells and tissues. Fiber reinforced materials are also common in technology. An important characteristic of such materials is their resistance to failure under load. Rupture occurs when fibers break under excessive force and when that failure propagates. Therefore it is crucial to understand force distributions. Force distributions within such networks are typically highly inhomogeneous and are not well understood. Here we construct a simple onedimensional model system with periodic boundary conditions by randomly placing linear springs on a circle. We consider ensembles of such networks that consist of N nodes and have an average degree of connectivity z, but vary in topology. Using a graphtheoretical approach that accounts for the full topology of each network in the ensemble, we show that, surprisingly, the force distributions can be fully characterized in terms of the parameters (N,z). Despite the universal properties of such (N,z)ensembles, our analysis further reveals that a classical meanfield approach fails to capture force distributions correctly. We demonstrate that \emph{network topology} is a crucial determinant of force distributions in elastic spring networks. [arXiv] 

A Glimpse Into Discrete Differential Geometry
Keenan Crane and Max Wardetzky. Notices of the American Mathematical Society, Vol. 64 No. 10, pp. 1153–1159, 2017. Abstract: The emerging field of discrete differential geometry (DDG) studies discrete analogues of smooth geometric objects, providing an essential link between analytical descriptions and computation. In recent years it has unearthed a rich variety of new perspectives on applied problems in computational anatomy/biology, computational mechanics, industrial design, computational architecture, and digital geometry processing at large. The basic philosophy of discrete differential geometry is that a discrete object like a polyhedron is not merely an approximation of a smooth one, but rather a differential geometric object in its own right. In contrast to traditional numerical analysis which focuses on eliminating approximation error in the limit of refinement (e.g., by taking smaller and smaller finite differences), DDG places an emphasis on the socalled “mimetic” viewpoint, where key properties of a system are preserved exactly, independent of how large or small the elements of a mesh might be. Just as algorithms for simulating mechanical systems might seek to exactly preserve physical invariants such as total energy or momentum, structurepreserving models of discrete geometry seek to exactly preserve global geometric invariants such as total curvature. More broadly, DDG focuses on the discretization of objects that do not naturally fall under the umbrella of traditional numerical analysis. This article provides an overview of some of the themes in DDG. [pdf] 

ACM Research Highlight:
The Heat Method for Distance Computation
Keenan Crane, Clarisse Weischedel, and Max Wardetzky. Communications of the ACM, Vol. 60 No. 11, pp. 90–99, doi: 10.1145/3131280, 2017. Abstract: We introduce the heat method for solving the single or multiplesource shortest path problem on both flat and curved domains. A key insight is that distance computation can be split into two stages: first find the direction along which distance is increasing, then compute the distance itself. The heat method is robust, efficient, and simple to implement since it is based on solving a pair of standard sparse linear systems. These systems can be factored once and subsequently solved in nearlinear time, substantially reducing amortized cost. Realworld performance is an order of magnitude faster than stateoftheart methods, while maintaining a comparable level of accuracy. The method can be applied in any dimension, and on any domain that admits a gradient and inner production  including regular grids, triangle meshes, and point clouds. Numerical evidence indicates that the method converges to the exact distance in the limit of refinement; we also explore smoothed approximations of distance suitable for applications where greater regularity is desired. [pdf] 

A primer on Laplacians Max Wardetzky. Chapter 5 in: Generalized Barycentric Coordinates in Computer Graphics and Computational Mechanics, K. Horman and N. Sukumar (editors), pp. 77–94, CRC Press, 2017. Abstract: In this chapter we review some important properties of Laplacians, smooth and discrete. We place special emphasis on a unified framework for treating smooth Laplacians on Riemannian manifolds alongside discrete Laplacians on graphs and simplicial manifolds. We cast this framework into the language of linear algebra, with the intent to make this topic as accessible as possible. We combine perspectives from smooth geometry, discrete geometry, spectral analysis, machine learning, numerical analysis, and geometry processing within this unified framework. The connection to generalized barycentric coordinates is established through harmonic functions that interpolate given boundary conditions. [pdf] 

A discrete parametrized surface theory in R^3 Tim Hoffmann, Andrew O. SagemanFurnas, and Max Wardetzky. International Math Research Notices, Volume 2017, Issue 14, pp. 4217–4258, doi: 10.1093/imrn/rnw015, 2017. Abstract: We propose a discrete surface theory in R^3 that unites the most prevalent versions of discrete special parametrizations. This theory encapsulates a large class of discrete surfaces given by a Lax representation and, in particular, the oneparameter associated families of constant curvature surfaces. The theory is not restricted to integrable geometries, but extends to a general surface theory. [arXiv] 

Functional Thin Films on Surfaces (Journal verrsion) Orestis Vantzos, Omri Azencot, Max Wardetzky, Martin Rumpf, and Mirela BenChen. IEEE Trans. on Vis. and Comp. Graph. 32(3), pp. 1179–1192, 2017. Abstract: The motion of a thin viscous film of fluid on a curved surface exhibits many intricate visual phenomena, which are challenging to simulate using existing techniques. A possible alternative is to use a reduced model, involving only the temporal evolution of the mass density of the film on the surface. However, in this model, the motion is governed by a fourthorder nonlinear PDE, which involves geometric quantities such as the curvature of the underlying surface, and is therefore difficult to discretize. Inspired by a recent variational formulation for this problem on smooth surfaces, we present a corresponding model for triangle meshes. We provide a discretization for the curvature and advection operators which leads to an efficient and stable numerical scheme, requires a single sparse linear solve per time step, and exactly preserves the total volume of the fluid. We validate our method by qualitatively comparing to known results from the literature, and demonstrate various intricate effects achievable by our method, such as droplet formation, evaporation, droplets interaction and viscous fingering. Finally, we extend our method to incorporate nonlinear van der Waals forcing terms which stabilize the motion of the film and allow additional effects such as pearling. [pdf] [supplement] 

Persistence Barcodes versus Kolmogorov Signatures: Detecting Modes of OneDimensional Signals Ulrich Bauer, Axel Munk, Hannes Sieling, and Max Wardetzky. Found Comput Math. 17:1, pp. 1–33, 2017. Abstract: We investigate the problem of estimating the number of modes (i.e., local maxima)  a well known question in statistical inference  and we show how to do so without presmoothing the data. To this end, we modify the ideas of persistence barcodes by first relating persistence values in dimension one to distances (with respect to the supremum norm) to the sets of functions with a given number of modes, and subsequently working with norms different from the supremum norm. As a particular case we investigate the Kolmogorov norm. We argue that this modification has certain statistical advantages. We offer confidence bands for the attendant Kolmogorov signatures, thereby allowing for the selection of relevant signatures with a statistically controllable error. As a result of independent interest, we show that taut strings minimize the number of critical points for a very general class of functions. We illustrate our results by several numerical examples. [pdf] 

On the incompressibility of cylindrical origami patterns Friedrich Bös, Etienne Vouga, Omer Gottesman, and Max Wardetzky. ASME. J. Mech. Des. 2016, 139(2), pp. 021404–0214049. doi:10.1115/1.4034970, 2016. Abstract: The art and science of folding intricate threedimensional structures out of paper has occupied artists, designers, engineers, and mathematicians for decades, culminating in the design of deployable structures and mechanical metamaterials. Here we investigate the axial compressibility of origami cylinders, i.e., cylindrical structures folded from rectangular sheets of paper. We prove, using geometric arguments, that a general fold pattern only allows for a finite number of isometric cylindrical embeddings. Therefore, compressibility of such structures requires either stretching the material or deforming the folds. Our result considerably restricts the space of constructions that must be searched when designing new types of origamibased rigidfoldable deployable structures and metamaterials. [arXiv] 

Splines in the Space of Shells Behrend Heeren, Martin Rumpf, Peter Schröder, Max Wardetzky, and Benedikt Wirth. Computer Graphics Forum 35(5), pp. 111–120, 2016. Abstract: Cubic splines in Euclidean space minimize the mean squared acceleration among all curves interpolating a given set of data points. We extend this observation to the Riemannian manifold of discrete shells in which the associated metric measures both bending and membrane distortion. Our generalization replaces the acceleration with the covariant derivative of the velocity. We introduce an effective timediscretization for this novel paradigm for navigating shell space. Further transferring this concept to the space of triangular surface descriptors  edge lengths, dihedral angles, and triangle areas  results in a simplified interpolation method with high computational efficiency. [pdf] 

Functional Thin Films on Surfaces Omri Azencot, Orestis Vantzos, Max Wardetzky, Martin Rumpf, and Mirela BenChen. Proceedings of the ACM Symposium on Computer Animation, Los Angeles, 2015. Best Paper Award (one of three) Abstract: The motion of a thin viscous film of fluid on a curved surface exhibits many intricate visual phenomena, which are challenging to simulate using existing techniques. A possible alternative is to use a reduced model, involving only the temporal evolution of the mass density of the film on the surface. However, in this model, the motion is governed by a fourthorder nonlinear PDE, which involves geometric quantities such as the curvature of the underlying surface, and is therefore difficult to discretize. Inspired by a recent variational formulation for this problem on smooth surfaces, we present a corresponding model for triangle meshes. We provide a discretization for the curvature and advection operators which leads to an efficient and stable numerical scheme, requires a single sparse linear solve per time step, and exactly preserves the total volume of the fluid. We validate our method by qualitatively comparing to known results from the literature, and demonstrate various intricate effects achievable by our method, such as droplet formation, evaporation, droplets interaction and viscous fingering. [pdf] [Video] 

Elasticity of 3D networks with rigid filaments and compliant crosslinks Knut M. Heidemann, Abhinav Sharma, Florian Rehfeldt, Christoph F. Schmidt, and Max Wardetzky. Soft Matter, 11(2), pp. 343–354, 2015. Abstract: Disordered filamentous networks with compliant crosslinks exhibit a low linear elastic shear modulus at small strains, but stiffen dramatically at high strains. Experiments have shown that the elastic modulus can increase by up to three orders of magnitude while the networks withstand relatively large stresses without rupturing. Here, we perform an analytical and numerical study on model networks in three dimensions. Our model consists of a collection of randomly oriented rigid filaments connected by flexible crosslinks that are modeled as wormlike chains. Due to zero probability of filament intersection in three dimensions, our model networks are by construction prestressed in terms of initial tension in the crosslinks. We demonstrate how the linear elastic modulus can be related to the prestress in these networks. Under the assumption of affine deformations in the limit of infinite crosslink density, we show analytically that the nonlinear elastic regime in 1 and 2dimensional networks is characterized by powerlaw scaling of the elastic modulus with the stress. In contrast, 3dimensional networks show an exponential dependence of the modulus on stress. Independent of dimensionality, if the crosslink density is finite, we show that the only persistent scaling exponent is that of the single wormlike chain. We further show that there is no qualitative change in the stiffening behavior of filamentous networks even if the filaments are bendingcompliant. Consequently, unlike suggested in prior work, the model system studied here cannot provide an explanation for the experimentally observed linear scaling of the modulus with the stress in filamentous networks. [pdf] 

Geometry Processing from an Elastic Perspective Martin Rumpf and Max Wardetzky. GAMMMitt. 37, No. 2, 184–216, 2014. Abstract: Triggered by the development of new hardware, such as laser range scanners for high resolution acquisition of complex geometric objects, new graphics processors for realtime rendering and animation of extremely detailed geometric structures, and novel rapid prototyping equipment, such as 3D printers, the processing of highly resolved complex geometries has established itself as an important area of both fundamental research and impressive applications. Concepts from image processing have been picked up and carried over to curved surfaces, physically based modeling plays a central role, and aspects of computer aided geometry design have been incorporated. This paper aims at highlighting some of these developments, with a particular focus on methods related to the mechanics of thin elastic surfaces. We provide an overview of different geometric representations ranging from polyhedral surfaces over level sets to subdivision surfaces. Furthermore, with an eye on differentialgeometric concepts underlying continuum mechanics, we discuss fundamental computational tasks, such as surface flows and fairing, surface deformation and matching, physical simulations, as well as spectral and modal methods in geometry processing. Finally, beyond focusing on single shapes, we describe how spaces of shapes can be investigated using concepts from Riemannian geometry. [pdf] 

Wire Mesh Design Akash Garg, Andrew SagemanFurnas, Bailin Deng, Yonghao Yue, Eitan Grinspun, Mark Pauly, and Max Wardetzky. ACM Transactions on Graphics 33:4, pp. 66:1–66:12, 2014. Abstract: We present a computational approach for designing wire meshes, i.e., freeform surfaces composed of woven wires arranged in a regular grid. To facilitate shape exploration, we map material properties of wire meshes to the geometric model of Chebyshev nets. This abstraction is exploited to build an efficient optimization scheme. While the theory of Chebyshev nets suggests a highly constrained design space, we show that allowing controlled deviations from the underlying surface provides a rich shape space for design exploration. Our algorithm balances globally coupled material constraints with aesthetic and geometric design objectives that can be specified by the user in an interactive design session. In addition to sculptural art, wire meshes represent an innovative medium for industrial applications including composite materials and architectural faÁades. We demonstrate the effectiveness of our approach using a variety of digital and physical prototypes with a level of shape complexity unobtainable using previous methods. [lowres pdf] [highres pdf] [Video] 

Exploring the Geometry of the Space of Shells Behrend Heeren, Martin Rumpf, Peter Schröder, Max Wardetzky, and Benedikt Wirth. Computer Graphics Forum 33(5):247–256, 2014. Abstract: We prove both in the smooth and discrete setting that the Hessian of an elastic deformation energy results in a proper Riemannian metric on the space of shells (modulo rigid body motions). Based on this foundation we develop a time and spacediscrete geodesic calculus. In particular we show how to shoot geodesics with prescribed initial data, and we give a construction for parallel transport in shell space. This enables, for example, natural extrapolation of paths in shell space and transfer of large nonlinear deformations from one shell to another with applications in animation, geometric, and physical modeling. Finally, we examine some aspects of curvature on shell space. [pdf] 

Functional Fluids on Surfaces Omri Azencot, Steffen Weiﬂmann, Maks Ovsjanikov, Max Wardetzky, and Mirela BenChen. Computer Graphics Forum 33(5), pp. 237–246, 2014. Abstract: Fluid simulation plays a key role in various domains of science including computer graphics. While most existing work addresses fluids on bounded Euclidean domains, we consider the problem of simulating the behavior of an incompressible fluid on a curved surface represented as an unstructured triangle mesh. Unlike the commonly used Eulerian description of the fluid using its timevarying velocity field, we propose to model fluids using their vorticity, i.e., by a (time varying) scalar function on the surface. During each time step, we advance scalar vorticity along two consecutive, stationary velocity fields. This approach leads to a variational integrator in the space continuous setting. In addition, using this approach, the update rule amounts to manipulating functions on the surface using linear operators, which can be discretized efficiently using the recently introduced functional approach to vector fields. Combining these time and space discretizations leads to a conceptually and algorithmically simple approach, which is efficient, timereversible and conserves vorticity by construction. We further demonstrate that our method exhibits no numerical dissipation and is able to reproduce intricate phenomena such as vortex shedding from boundaries. [pdf] [Video] 

Geodesics in Heat: A New Approach to Computing Distance Based on Heat Flow Keenan Crane, Clarisse Weischedel, and Max Wardetzky. ACM Transaction on Graphics 32:5, pp. 152:1–152:11, 2013. Abstract: We introduce the heat method for computing the geodesic distance to a specified subset (e.g., point or curve) of a given domain. The heat method is robust, efficient, and simple to implement since it is based on solving a pair of standard linear elliptic problems. The resulting systems can be prefactored once and subsequently solved in nearlinear time. In practice, distance is updated an order of magnitude faster than with stateoftheart methods, while maintaining a comparable level of accuracy. The method requires only standard differential operators and can hence be applied on a wide variety of domains (grids, triangle meshes, point clouds, etc.). We provide numerical evidence that the method converges to the exact distance in the limit of refinement; we also explore smoothed approximations of distance suitable for applications where greater regularity is required. [pdf] 

A discrete geometric approach for simulating the dynamics of thin viscous threads Basile Audoly, Nicolas Clauvelin, PierreThomas Brun, Miklos Bergou, Eitan Grinspun, Max Wardetzky. Journal of Computational Physics, volume 253, pp. 18–49, 2013. Abstract: We present a numerical model for the dynamics of thin viscous threads based on a discrete, Lagrangian formulation of the smooth equations. The model makes use of a condensed set of coordinates, called the centerline/spin representation: the kinematic constraints linking the centerline?s tangent to the orientation of the material frame is used to eliminate two out of three degrees of freedom associated with rotations. Based on a description of twist inspired from discrete differential geometry and from variational principles, we build a fullfledged discrete viscous thread model, which includes in particular a discrete representation of the internal viscous stress. Consistency of the discrete model with the classical, smooth equations for thin threads is established formally. Our numerical method is validated against reference solutions for steady coiling. The method makes it possible to simulate the unsteady behavior of thin viscous threads in a robust and efficient way, including the combined effects of inertia, stretching, bending, twisting, large rotations and surface tension. [pdf] 

TimeDiscrete Geodesics in the Space of Shells Behrend Heeren, Martin Rumpf, Max Wardetzky and Benedikt Wirth. Computer Graphics Forum 31(5), pp. 1755–1764, 2012. Abstract: Building on concepts from continuum mechanics, we offer a computational model for geodesics in the space of thin shells, with a metric that reflects viscous dissipation required to physically deform a thin shell. Different from previous work, we incorporate bending contributions into our deformation energy on top of membrane distortion terms in order to obtain a physically sound notion of distance between shells, which does not require additional smoothing. Our bending energy formulation depends on the socalled relative Weingarten map, for which we provide a discrete analogue based on principles of discrete differential geometry. Our computational results emphasize the strong impact of physical parameters on the evolution of a shell shape along a geodesic path. [pdf] 

Flexible Developable Surfaces Justin Solomon, Etienne Vouga, Max Wardetzky, Eitan Grinspun. Computer Graphics Forum 31(5), pp. 1567–1576, 2012. Abstract: We introduce a discrete paradigm for developable surface modeling. Unlike previous attempts at interactive developable surface modeling, our system is able to enforce exact developability at every step, ensuring that users do not inadvertently suggest configurations that leave the manifold of admissible folds of a flat twodimensional sheet. With methods for navigation of this highly nonlinear constraint space in place, we show how to formulate a discrete mean curvature bending energy measuring how far a given discrete developable surface is from being flat. This energy enables relaxation of usergenerated configurations and suggests a straightforward subdivision scheme that produces admissible smoothed versions of bent regions of our discrete developable surfaces. [pdf] 

Optimal topological simplification of discrete functions on surfaces Ulrich Bauer, Carsten Lange, and Max Wardetzky. Discrete and Computational Geometry 47:2 (2012), 347–377. Abstract: Given a function f on a surface and a tolerance δ > 0, we construct a function f_{δ} subject to ‖f_{δ}  f‖_{∞} ≤ δ such that f_{δ} has a minimum number of critical points. Our construction relies on a connection between discrete Morse theory and persistent homology and completely removes homological noise with persistence ≤ 2δ from the input function f. The number of critical points of the resulting simplified function f_{δ} achieves the lower bound dictated by the stability theorem of persistent homology. We show that the simplified function can be computed in linear time after persistence pairs have been computed. [pdf] [doi] 

Discrete Laplacians on General Polygonal Meshes Marc Alexa and Max Wardetzky, ACM Transaction on Graphics 30:4 (SIGGRAPH), pp. 102:1–102:10, 2011. Abstract: While the theory and applications of discrete Laplacians on triangulated surfaces are well developed, far less is known about the general polygonal case. We present here a principled approach for constructing geometric discrete Laplacians on surfaces with arbitrary polygonal faces, encompassing nonplanar and nonconvex polygons. Our construction is guided by closely mimicking structural properties of the smooth LaplaceBeltrami operator. Among other features, our construction leads to an extension of the widely employed cotan formula from triangles to polygons. Besides carefully laying out theoretical aspects, we demonstrate the versatility of our approach for a variety of geometry processing applications, embarking on situations that would have been more difficult to achieve based on geometric Laplacians for simplicial meshes or purely combinatorial Laplacians for general meshes. [pdf] [code] 

Total Variation Meets Topological Persistence: A First Encounter Ulrich Bauer, CarolaBibiane Schönlieb, and Max Wardetzky. Proceedings of ICNAAM 2010, pp. 1022–1026. Abstract: We present first insights into the relation between two popular yet apparently dissimilar approaches to denoising of one dimensional signals, based on (i) total variation (TV) minimization and (ii) ideas from topological persistence. While a close relation between (i) and (ii) might phenomenologically not be unexpected, our work appears to be the first to make this connection precise for one dimensional signals. We provide a link between (i) and (ii) that builds on the equivalence between TVL2 regularization and taut strings and leads to a novel and efficient denoising algorithm that is contrast preserving and operates in O(nlogn) time, where n is the size of the input. [pdf] 

Discrete Viscous Threads Miklos Bergou, Basile Audoly, Etienne Vouga, Max Wardetzky, Eitan Grinspun, ACM Transaction on Graphics 29:4 (SIGGRAPH), pp. 116:1–116:10, 2010. Abstract: We present a continuumbased discrete model for thin threads of viscous fluid by drawing upon the Rayleigh analogy to elastic rods, demonstrating canonical coiling, folding, and breakup in dynamic simulations. Our derivation emphasizes spacetime symmetry, which sheds light on the role of timeparallel transport in eliminating  without approximation  all but an O(n) band of entries of the physical system's energy Hessian. The result is a fast, unified, implicit treatment of viscous threads and elastic rods that closely reproduces a variety of fascinating physical phenomena, including hysteretic transitions between coiling regimes, competition between surface tension and gravity, and the first numerical fluidmechanical sewing machine. The novel implicit treatment also yields an order of magnitude speedup in our elastic rod dynamics. [pdf] [Video] 

Uniform Convergence of Discrete Curvatures from Nets of Curvature Lines Ulrich Bauer, Konrad Polthier, Max Wardetzky, Discrete and Computational Geometry 43:4, 798–823, 2010. Abstract: We study “Steinertype” discrete curvatures computed from nets of curvature lines on a given smooth surface, and prove their uniform pointwise convergence to smooth principal curvatures. We provide explicit error bounds, with constants depending only on the limit surface and the shape regularity of the discrete net. [pdf] [doi] 

Discrete Elastic Rods Miklos Bergou, Max Wardetzky, Stephen Robinson, Basile Audoly, Eitan Grinspun, ACM Transaction on Graphics 27:3 (SIGGRAPH), pp. 63:1–63:12, 2008. Abstract: We present a discrete treatment of adapted framed curves, parallel transport, and holonomy, thus establishing the language for a discrete geometric model of thin flexible rods with arbitrary cross section and undeformed configuration. Our approach differs from existing simulation techniques in the graphics and mechanics literature both in the kinematic description  we represent the material frame by its angular deviation from the natural Bishop frame  as well as in the dynamical treatment  we treat the centerline as dynamic and the material frame as quasistatic. Additionally, we describe a manifold projection method for coupling rods to rigidbodies and simultaneously enforcing rod inextensibility. The use of quasistatics and constraints provides an efficient treatment for stiff twisting and stretching modes; at the same time, we retain the dynamic bending of the centerline and accurately reproduce the coupling between bending and twisting modes. We validate the discrete rod model via quantitative buckling, stability, and coupledmode experiments, and via qualitative knottying comparisons. [pdf] [Video] 

Convergence of the Cotangent Formula: An Overview Max Wardetzky, in "Discrete Differential Geometry" (A. I. Bobenko, John M. Sullivan, Peter Schröder, Günter Ziegler, eds.), Birkhäuser Basel, 2008. Abstract: The cotangent formula constitutes an intrinsic discretization of the Laplace Beltrami operator on polyhedral surfaces in a finite element sense. This note gives an overview of approximation and convergence properties of discrete Laplacians and mean curvature vectors for polyhedral surfaces located in the vicinity of a smooth surface in Euclidean 3space. In particular, we show that mean curvature vectors converge in the sense of distributions, but fail to converge in L^2. [pdf] 

TRACKS: Toward Directable Thin Shells Miklos Bergou, Saurabh Mathur, Max Wardetzky, Eitan Grinspun, ACM Transaction on Graphics 26:3 (SIGGRAPH), pp. 50:1–50:10, 2007. Abstract: We combine the often opposing forces of artistic freedom and mathematical determinism to enrich a given animation or simulation of a surface with physically based detail. We present a process called tracking, which takes as input a rough animation or simulation and enhances it with physically simulated detail. Building on the foundation of constrained Lagrangian mechanics, we propose weakform constraints for tracking the input motion. This method allows the artist to choose where to add details such as characteristic wrinkles and folds of various thin shell materials and dynamical effects of physical forces. We demonstrate multiple applications ranging from enhancing an artist's animated character to guiding a simulated inanimate object. [pdf] [Video] 

Discrete Quadratic Curvature Energies Max Wardetzky, Miklos Bergou, David Harmon, Denis Zorin, Eitan Grinspun, Computer Aided Geometric Design (CAGD) 24, 2007, pp. 499–518. Abstract: We present a family of discrete isometric bending models (IBMs) for triangulated surfaces in 3space. These models are derived from an axiomatic treatment of discrete Laplace operators, using these operators to obtain linear models for discrete mean curvature from which bending energies are assembled. Under the assumption of isometric surface deformations we show that these energies are quadratic in surface positions. The corresponding linear energy gradients and constant energy Hessians constitute an efficient model for computing bending forces and their derivatives, enabling fast timeintegration of cloth dynamics with a two to threefold net speedup over existing nonlinear methods, and nearinteractive rates for Willmore smoothing of large meshes. [pdf] [Video] 

Discrete Laplace operators: No free lunch Max Wardetzky, Saurabh Mathur, Felix Kälberer, Eitan Grinspun, Symposium on Geometry Processing, 2007, pp. 33–37. Abstract: Discrete Laplace operators are ubiquitous in applications spanning geometric modeling to simulation. For robustness and efficiency, many applications require discrete operators that retain key structural properties inherent to the continuous setting. Building on the smooth setting, we present a set of natural properties for discrete Laplace operators for triangular surface meshes. We prove an important theoretical limitation: discrete Laplacians cannot satisfy all natural properties; retroactively, this explains the diversity of existing discrete Laplace operators. Finally, we present a family of operators that includes and extends wellknown and widelyused operators. [pdf] 

Cubic Shells Akah Garg, Eitan Grinspun, Max Wardetzky, Denis Zorin, Symposium on Computer Animation, 2007, pp. 91–98. Abstract: Hingebased bending models are widely used in the physicallybased animation of cloth, thin plates and shells. We propose a hingebased model that is simpler to implement, more efficient to compute, and offers a greater number of effective material parameters than existing models. Our formulation builds on two mathematical observations: (a) the bending energy of curved flexible surfaces can be expressed as a cubic polynomial if the surface does not stretch; (b) a general class of anisotropic materials  those that are orthotropic  is captured by appropriate choice of a single stiffness per hinge. Our contribution impacts a general range of surface animation applications, from isotropic cloth and thin plates to orthotropic fracturing thin shells. [pdf] [Video] 

On the Convergence of Metric and Geometric Properties of Polyhedral Surfaces Klaus Hildebrandt, Konrad Polthier, Max Wardetzky, in Geometriae Dedicata 123, 2006, pp. 89–112. Abstract: We provide conditions for convergence of polyhedral surfaces and their discrete geometric properties to smooth surfaces embedded in Euclidean 3space. Under the assumption of convergence of surfaces in Hausdorff distance, we show that convergence of the following properties are equivalent: surface normals, surface area, metric tensors, and LaplaceBeltrami operators. Additionally, we derive convergence of minimizing geodesics, mean curvature vectors, and solutions to the Dirichlet problem. [pdf] 

A Quadratic Bending Model for Inextensible Surfaces Miklos Bergou, Max Wardetzky, David Harmon, Denis Zorin, Eitan Grinspun, Symposium on Geometry Processing, 2006, pp. 227–230. Abstract: Efficient computation of curvaturebased energies is important for practical implementations of geometric modeling and physical simulation applications. Building on a simple geometric observation, we provide a version of a curvaturebased energy expressed in terms of the Laplace operator acting on the embedding of the surface. The corresponding energy, being quadratic in positions, gives rise to a constant Hessian in the context of isometric deformations. The resulting isometric bending model is shown to significantly speed up common cloth solvers, and when applied to geometric modeling situations built on Willmore flow to provide runtimes which are close to interactive rates. [pdf] [Video] 

FreeLence  Coding with free Valences
Felix Kälberer, Konrad Polthier, Ulrich Reitebuch, Max Wardetzky, Eurographics (Computer Graphics Forum), 2005, pp. 469–478. Abstract: We introduce FreeLence, a novel and simple singlerate compression coder for triangle manifold meshes. Our method uses free valences and exploits geometric information for connectivity encoding. Furthermore, we introduce a novel linear prediction scheme for geometry compression of 3D meshes. Together, these approaches yield a significant entropy reduction for mesh encoding with an average of 2030% over leading singlerate regiongrowing coders, both for connectivity and geometry. [pdf] 

Smooth Feature Lines on Surface Meshes Klaus Hildebrandt, Konrad Polthier, Max Wardetzky, Symposium on Geometry Processing, 2005, pp. 85–90. Abstract: Feature lines are salient surface characteristics. Their definition involves third and fourth order surface derivatives. This often yields to unpleasantly rough and squiggly feature lines since third order derivatives are highly sensitive against unwanted surface noise. The present work proposes two novel concepts for a more stable algorithm producing visually more pleasing feature lines: First, a new computation scheme based on discrete differential geometry is presented, avoiding costly computations of higher order approximating surfaces. Secondly, this scheme is augmented by a filtering method for higher order surface derivatives to improve both the stability of the extraction of feature lines and the smoothness of their appearance. [pdf] 

Convergence of Discrete Elastica Henrik Schumacher, Sebastian Scholtes, Max Wardetzky, Oberwolfach Reports No. 34/2012. Abstract: Using techniques related to the notions of epigraph distance and AttouchWetsconvergence, we show that under appropriate boundary conditions discrete elastica (i.e., polygonal curves of some fixed length that minimize a certain discrete bending energy) converge to smooth elastica (i.e., smooth curves of some given length that minimize smooth bending energy). [pdf] 

Persistence Simplifiation of Discrete Morse Functions on Surfaces Ulrich Bauer, Carsten Lange, Max Wardetzky, Oberwolfach Reports, Volume 6, Issue 1, 2009. Abstract: We combine the concept of persistent homology with Forman's discrete Morse theory on regular 2manifold CW complexes to solve the problem of minimizing the number of critical points among all functions within a prescribed distance from a given input function. We give a constructive proof of the tightness of the lower bound on the number of critical points provided by the Stability Theorem of persistent homology. [pdf] 

Geometric Aspects of Discrete Elastic Rods Max Wardetzky, Miklos Bergou, Stephen Robinson, Basile Audoly, Eitan Grinspun, Oberwolfach Reports, Volume 6, Issue 1, 2009. Abstract: Elastic rods are curvelike elastic bodies that have one dimension (length) much larger than the others (crosssection). Their elastic energy breaks down into three contributions: stretching, bending, and twisting. Stretching and bending are captured by the deformation of a space curve called the centerline, while twisting is captured by the rotation of a material frame associated to each point on the centerline. Building on the notions of framed curves, parallel transport, and holonomy, we present a smooth and a corresponding discrete theory that establishes an efficient model for simulating thin flexible rods with arbitrary cross section and undeformed configuration. [pdf] 

Algebraic Topology on Polyhedral Surfaces from Finite Elements Max Wardetzky, Klaus Hildebrandt, Konrad Polthier, Oberwolfach Reports 12/2006. Abstract: We report on a development using piecewise constant vector fields (or oneforms) on compact polyhedral surfaces. The function spaces corresponding to a discrete Hodge decomposition then turn out to be a mixture of conforming and nonconforming linear finite elements. For sequences of polyhedral surfaces whose positions and normals converge to the positions and normals of an embedded compact smooth surface, we report on a convergence result for the corresponding discrete Hodge decompositions and Hodge star operators. [pdf] 

SIGGRAPH ASIA 2008 COURSE NOTES on Discrete Differential Geometry Course Organizors: Eitan Grinspun and Max Wardetzky Abstract: This volume documents the full day course Discrete Differential Geometry: An Applied Introduction at SIGGRAPH Asia 2008 in Singapore on 12 December 2008. These notes supplement the lectures given by Mathieu Desbrun, Peter Schröder, and Max Wardetzky. These notes include contributions by Miklos Bergou, Mathieu Desbrun, Sharif Elcott, Akash Garg, Eitan Grinspun, David Harmon, Eva Kanso, Felix Kälberer, Saurabh Mathur, Ulrich Pinkall, Peter Schröder, Adrian Secord, Boris Springborn, Ari Stern, John M. Sullivan, Yiying Tong, Max Wardetzky, and Denis Zorin, and build on the ideas of many others. [pdf] 

Discrete Differential Operators on Polyhedral Surfaces  Convergence and Approximation, Max Wardetzky, Dissertation, Freie Universität Berlin, 2006.
[dissertation online] 

Kepler, oranges and shadows from the fourth dimension. ... a site for mathematical entertainment about densest ball packings, disk packings, and their connection to shadows from the 4th dimension. Prepared for the "Beliner Tag der Mathematik 2005"  a day for mathematically interested highschool students. 

Blind Dates für die Wissenschaft Brigitte LutzWestphal und Max Wardetzky, Mitteilungen der DMV, 2008. Abstract: Wissenschaftlicher Austausch ist eine wichtige Basis für erfolgreiche und innovative Forschung. Das klassische Format von Tagungen und Workshops im Wissenschaftsbetrieb stößt hier immer wieder an seine Grenzen. Insbesondere ist es für den wissenschaftlichen Nachwuchs häufig schwierig, von Vorträgen aus anderen Fachgebieten zu profitieren und so in einen sinnvollen Austausch mit Kolleginnen und Kollegen treten zu können. Für das Berliner DFGForschungszentrum MATHEON entwickelten wir ein neues Konzept, um einen vertieften wissenschaftlichen Austausch besser zu fördern. [pdf] 