Rangaraja P. Sundarraj – författare

For linear optimization models that can be formulated as linear programs with the block-angular structure, i.e. independent subproblems with coupling constraints, the Dantzig-Wolfe decomposition principle provides an elegant framework of solution algorithms as well as economic interpretation. This monograph is the complete documentation of DECOMP: a robust implementation of the Dantzig-Wolfe decomposition method in FORTRAN. The code can serve as a very convenient starting point for further investigation, both computational and economic, of parallelism in large-scale systems. It can also be used as supplemental material in a second course in linear programming, computational mathematical programming, or large-scale systems.

For linear optimization models that can be formulated as linear programs with the block-angular structure, i.e. independent subproblems with coupling constraints, the Dantzig-Wolfe decomposition principle provides an elegant framework of solution algorithms as well as economic interpretation. This monograph is the complete documentation of DECOMP: a robust implementation of the Dantzig-Wolfe decomposition method in FORTRAN. The code can serve as a very convenient starting point for further investigation, both computational and economic, of parallelism in large-scale systems. It can also be used as supplemental material in a second course in linear programming, computational mathematical programming, or large-scale systems.

This book constitutes the proceedings of the 13th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2018, held in June 2018 in Chennai, India.  The 24 full papers presented in this volume were carefully reviewed and selected from 96 papers. The contributions are organized in topical sections named: HCI and Design, Design Foundations, Design Foundations, Design in Healthcare, Advances in Data Science and Analytics, ICT for Development, Designing Cybersecurity, and Design Applications.