Approximating Convex Shapes With Respect to Symmetric Difference Under Homotheties Juyoung Yon∗1 , Sang Won Bae†2 , Siu-Wing Cheng3 , Otfried Cheong‡4 , and Bryan T. Wilkinson§5 1 2

Source URL: drops.dagstuhl.de

FROM RANDOM MATRICES TO STOCHASTIC OPERATORS ALAN EDELMAN AND BRIAN D. SUTTON Abstract. We propose that classical random matrix models are properly viewed as finite difference schemes for stochastic differential operator

Source URL: faculty.rmc.edu

• Mathematical physics
• Matrices
• Random matrices
• Singular value decomposition
• Linear algebra
• Random matrix
• Matrix
• Alan Edelman
• Eigenvalues and eigenvectors
• Hermitian matrix
• Symmetric matrix
• Singular value

Towards Automatic Software Lineage Inference Abstract—Software continuously evolves to reflect changing requirements, feature updates, and bug fixes. Most existing research focuses on analyzing software release histori

Source URL: users.ece.cmu.edu

• Cyclomatic complexity
• Lowest common ancestor
• Version control
• Honda P series
• Apache Subversion
• Symmetric difference