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- Rahul Narain, Matthew Overby, George E. Brown
- Symposium on Computer Animation
- 2016

We apply the alternating direction method of multipliers (ADMM) optimization algorithm to implicit time integration of elastic bodies, and show that the resulting method closely relates to the recently proposed projective dynamics algorithm. However, as ADMM is a general-purpose optimization algorithm applicable to a broad range of objective functions, it… (More)

- Matthew Overby
- 2015

Virtualization is an important resource of cloud computing. Many virtualization technologies allow workload consolidation, multiple operating systems, and fault tolerance mechanisms. The number of applications moving to the cloud is increasing, and cloud computing is becoming a prominent distributed computing framework. Virtual machines provide many… (More)

An important component of urban microclimate is the radiative heat transfer between the myriad elements that make up the urban fabric. While great progress has been made in developing radiation models for idealized urban spaces, operational simulations of fully resolved city-scale domains remain elusive. As a result, simplifications and assumptions must be… (More)

- Matthew Overby, George E. Brown, Jie Li, Rahul Narain
- IEEE Trans. Vis. Comput. Graph.
- 2017

We apply the alternating direction method of multipliers (ADMM) optimization algorithm to implicit time integration of elastic bodies, and show that the resulting method closely relates to the recently proposed projective dynamics algorithm. However, as ADMM is a general purpose optimization algorithm applicable to a broad range of objective functions, it… (More)

- Matthew Overby, George E. Brown, Jie Li, Rahul Narain
- IEEE Transactions on Visualization and Computer…
- 2017

We apply the alternating direction method of multipliers (ADMM) optimization algorithm to implicit time integration of elastic bodies, and show that the resulting method closely relates to the recently proposed projective dynamics algorithm. However, as ADMM is a general purpose optimization algorithm applicable to a broad range of objective functions, it… (More)

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