I. Invited Lectures -- The Family of Fast Least Squares Algorithms for Adaptive Filtering -- Adaptive Control Algorithms -- Error Analysis of Least Squares Algorithms -- Parallel Algorithms for Toeplitz Systems -- Parallel Algorithms for Digital Signal Processing -- An Introduction to the Class of Split Levinson Algorithms -- On the Split Approach Based Algorithms for DSP Problems -- Updating and Downdating of Orthogonal Polynomials with Data Fitting Applications -- Parallel Algorithms for Singular Value Problems -- Some Remarks on the Generalised Bareiss and Levinson Algorithms -- Generalized Displacement Structure for Block-Toeplitz, Toeplitz-block, and Toeplitz-derived Matrices -- Fault Tolerant Recursive Least Squares Minimization -- A Systolic Array for Recursive Least Squares Minimisation and Adaptive Beamforming -- Parallel Algorithms for Supercomputers -- Updating Techniques in Parallel Computation -- On the Use of the Singular Value Decomposition in Identification and Signal Processing -- Structured Linear Algebra Problems in Digital Signal Processing -- II. Contributed Lectures -- Constructing a Unitary Hessenberg Matrix from Spectral Data -- Parallel Computation of the Generalized Singular Value Decomposition -- Correcting Interface Errors Arising from Segmentation in a Parallel Iterative Algorithm -- Multidimensional Internally Lossless Filters of Fully Recursive Half-Plane Type -- Rank-One Extensions of the Generalized Hermitian Eigenvalue Problem for Adaptive High Resolution Array Processing -- A Hybrid Scheme for the Singular Value Decomposition on a Multiprocessor -- The Weak Stability of Algorithms for Matrix Computations -- Parallelism in Dynamic Programming and Control -- Design Issues for Parallel Matrix Algorithms -- Fast Computation of a Restricted Subset of Eigenpairs of a Varying Hermitian Matrix -- Parallelization of Toeplitz Solvers -- Parallel Gaussian Elimination, iPSC/2 Hypercube versus a Transputer Network -- Snapshots of Mobile Jacobi -- Computing Generalized Canonical Correlations -- to High Resolution Array Spectrum Estimation -- Modifications of the Normal Equations Method that are Numerically Stable -- Block Elimination with Iterative Refinement for Bordered Linear Systems -- The Efficient Calculation of the Eigenvalues, Eigenvectors and Inverses of a Special Class of Brownian Matrices -- Improvements of Stepsize Control in Numerical Integration -- A Statistical Evaluation of Inverse Iteration -- On Underdetermined Systems -- A chart of numerical methods for structured eigenvalue problems -- Updating Choleski Factors in Parallel -- Approximate Inversion of Partially Specified Positive Definite Matrices -- Nearest "Unstable" Matrix Pencil to a Given Pencil -- Parallel Recursive Least Squares on a Hypercube Multiprocessor -- A Divide and Conquer Method for the Unitary Eigenproblem and Applications -- Utilization of the Matrix Pencil to Extract Poles of a Linear Time-Invariant System -- Efficient Solution of Minimum Eigen-Problem of Hankel Systems by Conjugate Gradient Algorithm and FFT -- Progress Towards a Systolic SVD Array Implementation -- On the Convergence of Cyclic Jacobi Methods -- Numerically Stable Fast Transversal Filters for Recursive Least-Squares Adaptive Filtering -- Applications of Analytic Centers -- Solving Triangular System in Parallel is Accurate -- Storage Schemes for Parallel Eigenvalue Algorithms -- Iterative Solution Methods for Large, Sparse Systems of Linear Equations Arising from Tomographic Image Reconstruction -- The Generalized Total Least Squares Problem: Formulation, Algorithm and Properties -- Understanding Old Deficiencies in the Conventional Recursive Least-Squares (CRLS) Scheme -- Algorithms for Optical Computing and their Sensitivity -- A Constrained Eigenvalue Problem -- On GR Algorithms for the Eigenvalue Problem -- Numerical Analysis of Nonlinear Equations in Computer Vision and Robotics -- A Linear Systolic Array for the Adaptive MVDR Beamformer -- Solving Band Systems of Linear Equations by Iterative Methods on Vector Machines -- List of Participants.