NASOQ: numerically accurate sparsity-oriented QP solver

Quadratic programs (QP), minimizations of quadratic objectives subject to linear inequality and equality constraints, are at the heart of algorithms across scientific domains. Applications include fundamental tasks in geometry processing, simulation, engineering, animation and finance where the accu...

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Veröffentlicht in:	ACM transactions on graphics 2020-07, Vol.39 (4), p.96:1-96:17, Article 96
Hauptverfasser:	Cheshmi, Kazem, Kaufman, Danny M., Kamil, Shoaib, Dehnavi, Maryam Mehri
Format:	Artikel
Sprache:	eng
Schlagworte:	Computations on matrices Computer graphics Computing methodologies Continuous optimization Mathematical analysis Mathematical optimization Mathematical software Mathematics of computing Numerical analysis Quadratic programming Shape modeling Solvers
Online-Zugang:	Volltext
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