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Time-critical multiresolution rendering of large complex models
Related publications (55)
MATHICSE Technical Report : A fast gradient method for nonnegative sparse regression with self dictionary
Nonnegative matrix factorization (NMF) can be computed efficiently under the separability assumption, which asserts that all the columns of the input data matrix belong to the convex cone generated by only a few of its columns. The provably most robust met ...
MATHICSE2016Optimal Hybrid Perimeter and Switching Plans Control for Urban Traffic Networks
Nikolaos Geroliminis, Jack Haddad, Mohammadreza Hajiahmadi
Since centralized control of urban networks with detailed modeling approaches is computationally complex, developing efficient hierarchical control strategies based on aggregate modeling is of great importance. The dynamics of a heterogeneous large-scale u ...
Institute of Electrical and Electronics Engineers2015An optimal first-order primal-dual gap reduction framework for constrained convex optimization
We introduce an analysis framework for constructing optimal first-order primal-dual methods for the prototypical constrained convex optimization template. While this class of methods offers scalability advantages in obtaining numerical solutions, they have ...
Tech. Report. LIONS-EPFL (2015)2015Generalized Decision Rule Approximations for Stochastic Programming via Liftings
Daniel Kuhn, Wolfram Wiesemann
Stochastic programming provides a versatile framework for decision-making under uncertainty, but the resulting optimization problems can be computationally demanding. It has recently been shown that, primal and dual linear decision rule approximations can ...
Springer Verlag2015Disparity and Optical Flow Partitioning Using Extended Potts Priors
This paper addresses the problems of disparity and optical flow partitioning based on the brightness invariance assumption. We investigate new variational approaches to these problems with Potts priors and possibly box constraints. For the optical flow par ...
IMA2015An Optimization-based Approach to Extract Faceted Crystal Shapes from Stereoscopic Images
Colin Neil Jones, Jean-Hubert Hours, Thomas Vetter
The size and shape of particles crucially influences the characteristics of solid products. Until recently these quantities were evaluated using light microscopy. However, extracting the three-dimensional shape of a faceted crystal from a single image is a ...
Elsevier2015An Alternating Trust Region Algorithm for Distributed Linearly Constrained Nonlinear Programs Application to the AC Optimal Power Flow
Colin Neil Jones, Jean-Hubert Hours
A novel trust region method for solving linearly constrained nonlinear programs is presented. The proposed technique is amenable to a distributed implementation, as its salient ingredient is an alternating projected gradient sweep in place of the Cauchy po ...
2015ShapeOp - A Robust and Extensible Geometric Modelling Paradigm
Mark Pauly, Sofien Bouaziz, Bailin Deng, Mario Moacir Deuss, Anders Holden Deleuran
We present ShapeOp, a robust and extensible geometric modelling paradigm. ShapeOp builds on top of the state-of-the-art physics solver (Bouaziz et al. in ACM Trans Graph 33:154:1–154:11, 2014). We discuss the main theoretical advantages of the underlying s ...
Springer 2015Efficient Subnetwork Selection in Relay Networks
Christina Fragouli, Siddhartha Brahma, Ayan Sengupta
We consider a source that would like to communicate with a destination over a layered Gaussian relay network. We present a computationally efficient method that enables to select a near-optimal (in terms of throughput) subnetwork of a given size connecting ...
2014Efficient Subnetwork Selection in Relay Networks
Christina Fragouli, Siddhartha Brahma, Ayan Sengupta
We consider a source that would like to communicate with a destination over a layered Gaussian relay network. We present a computationally efficient method that enables to select a near-optimal (in terms of throughput) subnetwork of a given size connecting ...
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