part General — Parallel Computing -- chapter 1 A Brief Introduction to Parallel Computing -- chapter 2 Parallel Computer Architecture / chapter 3 Fortran and Java for High-Performance Computing / chapter 4 Parallel Algorithms for the Singular Value Decomposition / chapter 5 Iterative Methods for the Partial Eigensolution of Symmetric Matrices on Parallel Machines / part Optimization -- chapter 6 Parallel Optimization Methods / chapter 7 Parallel Computing in Global Optimization / chapter 8 Nonlinear Optimization: A Parallel Linear Algebra Standpoint / part Statistical Applications -- chapter 9 On Some Statistical Methods for Parallel Computation / chapter 10 Parallel Algorithms for Predictive Modeling / chapter 11 Adaptive Designs / chapter 12 A Modular VLSI Architecture for the Real-Time Estimation of Higher Order Moments and Cumulants / chapter 13 Principal Component Analysis for Information Retrieval / chapter 14 Matrix Rank Reduction for Data Analysis and Feature Extraction / chapter 15 Parallel Computation in Econometrics: A Simplified Approach