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	Browse All Reviews > Mathematics Of Computing (G) > Numerical Analysis (G.1) > Optimization (G.1.6) > Linear Programming (G.1.6...)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 50 Reviews about "Linear Programming (G.1.6...)": Date Reviewed   Linear programming: Foundations and Extensions (5th ed.) Vanderbei R., Springer International Publishing, New York, NY, 2020. 495 pp.  Type: Book (978-3-030394-14-1) Linear programming (LP) finds the optimal solution to a mathematical problem with given resources or constraints. The optimization of resources in achieving an optimal solution employs various methods; simplex, convex analysis, degener... Mar 16 2021   Integer linear programming in computational and systems biology: an entry-level text and course Gusfield D., Cambridge University Press, New York, NY, 2019. 428 pp.  Type: Book (978-1-108421-76-8) Integer linear programming (ILP) is an optimization method that depends on the satisfaction of a set of linear equality or inequality relationships and has solutions with integer (rather than continuous) values. An important applicatio... Dec 2 2019   Algorithm 928: a general, parallel implementation of Dantzig-Wolfe decomposition Rios J. ACM Transactions on Mathematical Software 39(3): 1-10, 2013.  Type: Article An open-source implementation of the Dantzig-Wolfe decomposition method, a powerful and useful technique for solving linear programming problems of block-angular form, is described in this concise and well-written paper.... Jul 5 2013   Towards dense linear algebra for hybrid GPU accelerated manycore systems Tomov S., Dongarra J., Baboulin M. Parallel Computing 36(5-6): 232-240, 2010.  Type: Article, Reviews: (2 of 2) Tomov et al.’s work involves the interface of hardware (hybrid systems made up of graphics processing units (GPUs) with more conventional central processing unit (CPU)-based systems) and software (for treating dense linear al... Dec 17 2010   Towards dense linear algebra for hybrid GPU accelerated manycore systems Tomov S., Dongarra J., Baboulin M. Parallel Computing 36(5-6): 232-240, 2010.  Type: Article, Reviews: (1 of 2) This paper illustrates the use of both multi-core central processing units (CPUs) and graphics processing units (GPUs), working together on a dense linear algebra problem. The premise of the paper is that some tasks are better suited f... Nov 2 2010   Linear programming Karloff H., Birkhäuser Basel, New York, NY, 2009. 142 pp.  Type: Book (9780817648435) This book is considered a foundational classic (of recent years) on the subject of linear programming. The current edition is a reprint of the 1991 edition published in the “Progress in Theoretical Computer Science”... Jun 29 2009   Linear genetic programming (Genetic and Evolutionary Computation) Brameier M., Banzhaf W., Springer-Verlag New York, Inc., Secaucus, NJ, 2006. 316 pp.  Type: Book (9780387310299) This book addresses a subfield of genetic programming, where solutions are represented by a sequence of instructions in an imperative programming language, such as C. Genetic programming is an iterative search algorithm based loosely o... Sep 7 2007   Evolutionary multiobjective optimization: theoretical advances and applications Abraham A. (ed), Jain L. (ed), Goldberg R., Springer-Verlag New York, Inc., Secaucus, NJ, 2005. 302 pp.  Type: Book (9781852337872) Twelve chapters comprise this book. In the introductory chapter 1, the editors describe what multiobjective optimization is and why population-based search techniques, especially evolutionary ones, are suitable to tackle the field. Ind... Nov 30 2005   Cycling in linear programming problems Gass S., Vinjamuri S. Computers and Operations Research 31(2): 303-311, 2004.  Type: Article The simplex method, developed by G.B. Dantzig in 1947, is routinely used (together with interior point methods) to solve linear programming problems. In this paper, the authors analyze a number of linear programming problems that are k... Jun 9 2004   Certifying and repairing solutions to large LPs how good are LP-solvers? Dhiflaoui M., Funke S., Kwappik C., Mehlhorn K., Seel M., Schömer E., Schulte R., Weber D.  Discrete algorithms (Proceedings of the fourteenth annual ACM-SIAM symposium, Baltimore, Maryland, Jan 12-14, 2003) 255-256, 2003.  Type: Proceedings Linear programming (LP) techniques are very useful in decision-making processes in organizations, including solving resource allocation problems for profit or nonprofit organizations. Linear programming solvers are available. These sta... Jan 14 2004       Display 510152550100 per page
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