Symposium on Sparse Matrices and Their Applications. - Computational Circuit Design. - Eigenvalue Methods for Sparse Matrices. - Sparse Matrix Approach to the Frequency Domain Analysis of Linear Passive Electrical Networks. - Some Basic Technqiues for Solving Sparse Systems of Linear Equations. - Vector and Matrix Variability Type in Sparse Matrix Algorithms. - Linear Programming. - The Partitioned Preassigned Pivot Procedure (P4). - Modifying Triangular Factors of the Basis in the Simplex Method. - Partial Differential Equations. - A New Iterative Procedure for the Solution of Sparse Systems of Linear Difference Equations. - Block Eliminations on Finite Element Systems of Equations. - Application of the Finite Element Method to Regional Water Transport Phenomena. - On the Use of Fast Methods for Separable Finite Difference Equations for the Solution of General Elliptic Problems. - Special Topics. - Application of Sparse Matrices to Analytical Photogrammetry. - Generalized View of a Data Base. - Combinatorics and Graph Theory. - Several Strategies for Reducing the Bandwidth of Matrices. - GRAAL A Graph Algorithmic Language. - The Role of Partitioning in the Numerical Solution of Sparse Systems. Language: English