Simultaneous Reduced Basis Approximation of Parameterized Elliptic Eigenvalue Problems

The focus is on a model reduction framework for parameterized elliptic eigenvalue problems by a reduced basis method. In contrast to the standard single output case, one is interested in approximating several outputs simultaneously, namely a certain number of the smallest eigenvalues. For a fast and reliable evaluation of these input-output relations, we analyze a posteriori error estimators for eigenvalues. Moreover, we present different greedy strategies and study systematically their performance. Special attention needs to be paid to multiple eigenvalues whose appearance is parameter-dependent. Our methods are of particular interest for applications in vibro-acoustics

Raytheon v. Hernandez:The Americans with Disabilities Act and its Effect on Neutral,Non-Discriminatory (NON) Hiring Policies of Employers

This casenote will examine the legislative history and background of the ADA, the case law following its passage, the procedural and substantive background of Raytheon, the Supreme Court\u27s holding in Raytheon, and the impact thereof

Raytheon v. Hernandez:The Americans with Disabilities Act and its Effect on Neutral,Non-Discriminatory (NON) Hiring Policies of Employers

This casenote will examine the legislative history and background of the ADA, the case law following its passage, the procedural and substantive background of Raytheon, the Supreme Court\u27s holding in Raytheon, and the impact thereof