Efficient GPU-based implementations of simplex type algorithms
Recent hardware advances have made it possible to solve large scale Linear Programming
problems in a short amount of time. Graphical Processing Units (GPUs) have gained a lot of …
problems in a short amount of time. Graphical Processing Units (GPUs) have gained a lot of …
Accelerating revised simplex method using gpu-based basis update
Optimization problems lie at the core of scientific and engineering endeavors. Solutions to
these problems are often compute-intensive. To fulfill their compute-resource requirements …
these problems are often compute-intensive. To fulfill their compute-resource requirements …
[PDF][PDF] GPU computing applied to linear and mixed-integer programming
Advances in GPU Research and Practice Page 1 CHAPTER 10 GPU computing applied to
linear and mixed-integer programming V. Boyer1, D. El Baz2, MA Salazar-Aguilar1 …
linear and mixed-integer programming V. Boyer1, D. El Baz2, MA Salazar-Aguilar1 …
Improving a primal–dual simplex-type algorithm using interior point methods
Interior point methods and simplex-type algorithms are the most widely-used algorithms for
solving linear programming problems. The simplex algorithm has many important …
solving linear programming problems. The simplex algorithm has many important …
The impact of scaling on simplex type algorithms
One of the most significant and well-studied optimization problems is the Linear
Programming problem (LP). Many algorithms have been proposed for the solution of Linear …
Programming problem (LP). Many algorithms have been proposed for the solution of Linear …
Effective Implementation of GPU-based Revised Simplex algorithm applying new memory management and cycle avoidance strategies
AR Gahrouei, M Ghatee - arXiv preprint arXiv:1803.04378, 2018 - arxiv.org
Graphics Processing Units (GPUs) with high computational capabilities used as modern
parallel platforms to deal with complex computational problems. We use this platform to …
parallel platforms to deal with complex computational problems. We use this platform to …
A web-based decision support system using basis update on simplex type algorithms
Linear Programming is a significant and well-studied optimization methodology. Simplex
type algorithms have been widely used in Decision Support Systems. The computation of …
type algorithms have been widely used in Decision Support Systems. The computation of …
[PDF][PDF] Hybrid optimization algorithms: implementation on GPU
N Ploskas - 2014 - users.uowm.gr
Linear Programming (LP) is a significant area in the field of operations research. The
simplex algorithm is one of the top ten algorithms with the greatest influence in the 20th …
simplex algorithm is one of the top ten algorithms with the greatest influence in the 20th …
Exploring GPU-Friendly Linear Optimization Methods
UA Shah - 2020 - search.proquest.com
Linear programming (LP) is the simplest optimization method, yet it is widely used in diverse
fields. It involves finding optimum of a linear objective function subject to linear constraints …
fields. It involves finding optimum of a linear objective function subject to linear constraints …
Design and development of a hybrid mathematical programming algorithm
T Glavelis - 2019 - dspace.lib.uom.gr
One of the most significant and well-studied optimization problems is the Linear
Programming problem (LP). LP consists of optimizing,(minimizing or maximizing) a linear …
Programming problem (LP). LP consists of optimizing,(minimizing or maximizing) a linear …