Concept

Gaussian elimination

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Node-weighted network design and maximum sub-determinants

Carsten Moldenhauer

We consider the Node-weighted Steiner Forest problem on planar graphs. Demaine et al. showed that a generic primal-dual algorithm gives a 6-approximation. We present two different proofs of an approximation factor of~

3

. Then, we draw a connection to Goem ...

EPFL2014

Gaussian elimination

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Verification of Component-based Systems via Predicate Abstraction and Simultaneous Set Reduction

Method and apparatus for low complexity spectral analysis of bio-signals

Measurement of the Ratio of Inclusive Jet Cross Sections using the Anti-$k_T$ Algorithm with Radius Parameters R=0.5 and 0.7 in pp Collisions at $\sqrt{s}=7$ TeV

Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning

Compressed Sensing of Memoryless Sources

Annealing of UV Ar+ and ArF excimer laser fabricated Bragg gratings: SMF-28e fiber

Node-weighted network design and maximum sub-determinants

Variational Gaussian Inference for Bilinear Models of Count Data

Relation of exact Gaussian basis methods to the dephasing representation: Theory and application to time-resolved electronic spectra

Euclidean Distance Matrix Completion for Ad-hoc Microphone Array Calibration

Euclidean Distance Matrix Completion for Ad-hoc Microphone Array Calibration

Compressed Sensing of Memoryless Sources

Annealing of UV Ar+ and ArF excimer laser fabricated Bragg gratings: SMF-28e fiber

Method and apparatus for low complexity spectral analysis of bio-signals

Node-weighted network design and maximum sub-determinants

Measurement of the Ratio of Inclusive Jet Cross Sections using the Anti-$k_T$ Algorithm with Radius Parameters R=0.5 and 0.7 in pp Collisions at $\sqrt{s}=7$ TeV

Relation of exact Gaussian basis methods to the dephasing representation: Theory and application to time-resolved electronic spectra

Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning

Verification of Component-based Systems via Predicate Abstraction and Simultaneous Set Reduction

Variational Gaussian Inference for Bilinear Models of Count Data