HYPERGRAPH MODELS FOR SPARSE MATRIX PARTITIONING AND REORDERING  Umit V. C ataly urek Ph.D. in Computer Engineering and Information Science Supervisor: Assoc. Prof. Cevdet Aykanat November, 1999 Graphs have been widely used to represent sparse matrices for various scienti c applications including one-dimensional (1D) decomposition of sparse matrices for parallel sparse-matrix vector multiplic...

This paper presents a constrained decomposition methodology for discrete-event models. Partial models are obtained and used for model-based fault detection and isolation. The constraints of the decomposition ensures that the resulting partial model is decoupled from a given subset of inputs. The constrained decomposition method is formulated using pair algebra concepts as an iterative algorithm...

Abstract Monolithic optimization of large mechanical systems can be expensive and cumbersome. Drivers computational cost integration effort are, e.g., the size design problem number different components, models, disciplines. Distributed schemes decompose problems into smaller subproblems; however, they typically require intense coordination effort. This paper proposes an approach for complete d...

Understanding Urban Wage Inequality in China 1988-2008: Evidence from Quantile Analysis This paper examines change in wage gaps in urban China by estimating quantile regressions on CHIPS data. It applies the Machado and Mata (2005) decomposition, finding sharp increases in inequality from 1988 to 1995 and from 2002 to 2008 largely due to changes in the wage structure. The analysis reports how t...