General - Parallel Computing. A Brief Introduction to Parallel Computing. Parallel Computer Architecture. Fortran and Java for High-Performance Computing. Parallel Algorithms for the Singular Value Decomposition. Iterative Methods for the Partial Eigensolution of Symmetric Matrices on Parallel Machines. Optimization. Parallel Optimization Methods. Parallel Computing in Global Optimization. Nonlinear Optimization: A Parallel Linear Algebra Standpoint. Statistical Applications. On Some Statistical Methods for Parallel Computation. Parallel Algorithms for Predictive Modeling. Parallel Programs for Adaptive Designs. A Modular VLSI Architecture for the Real-Time Estimation of Higher Order Moments and Cumulants. Principal Component Analysis for Information Retrieval. Matrix Rank Reduction for Data Analysis and Feature Extraction. Parallel Computation in Econometrics: A Simplified Approach. Parallel Bayesian Computation. Index.