Add to ORKGLast time we finished a lot of stuff on linear programming- simplex, ellipsoid, interior point. Today, we’re going to cover a little more stuff that can be applied to solving linear programs. In particular, we are covering the following
Mixed logical/linear programming (MLLP) is an extension of mixed integer/linear programming (MILP). ...
International audienceWe discuss an application of the well-known Multiplicative Weights Update (MWU...
Abstract. The feasibility problem for a system of linear inequalities can be converted into an uncon...
.<F3.866e+05> The feasibility problem for a system of linear inequalities can be converted int...
Introduction to Linear Programming Linear programming is a very important class of problems, both a...
summary:At universities focused on economy, Operation Research topics are usually included in the st...
Linear programming (LP) is one of the most widely-applied techniques in operations research. Many me...
With emphasis on computation, this book is a real breakthrough in the field of LP. In addition to co...
The feasibility problem for a system of linear inequalities can be converted into an unconstrained o...
Linear Programming provides an in-depth look at simplex based as well as the more recent interior po...
Linear Programming (LP) and Integer Linear Programming (ILP) are two of the most powerful tools ever...
The general linear programming problem is one of optimizing a linear functional of several variables...
For many of us, modern-day linear programming (LP) started with the work of George Dantzig in 1947. ...
. The linear multiplicative programming problem minimizes a product of two (positive) variables subj...
Linear programming is one of the most extensively used techniques in the toolbox of quantitative met...
Mixed logical/linear programming (MLLP) is an extension of mixed integer/linear programming (MILP). ...
International audienceWe discuss an application of the well-known Multiplicative Weights Update (MWU...
Abstract. The feasibility problem for a system of linear inequalities can be converted into an uncon...
.<F3.866e+05> The feasibility problem for a system of linear inequalities can be converted int...
Introduction to Linear Programming Linear programming is a very important class of problems, both a...
summary:At universities focused on economy, Operation Research topics are usually included in the st...
Linear programming (LP) is one of the most widely-applied techniques in operations research. Many me...
With emphasis on computation, this book is a real breakthrough in the field of LP. In addition to co...
The feasibility problem for a system of linear inequalities can be converted into an unconstrained o...
Linear Programming provides an in-depth look at simplex based as well as the more recent interior po...
Linear Programming (LP) and Integer Linear Programming (ILP) are two of the most powerful tools ever...
The general linear programming problem is one of optimizing a linear functional of several variables...
For many of us, modern-day linear programming (LP) started with the work of George Dantzig in 1947. ...
. The linear multiplicative programming problem minimizes a product of two (positive) variables subj...
Linear programming is one of the most extensively used techniques in the toolbox of quantitative met...
Mixed logical/linear programming (MLLP) is an extension of mixed integer/linear programming (MILP). ...
International audienceWe discuss an application of the well-known Multiplicative Weights Update (MWU...
Abstract. The feasibility problem for a system of linear inequalities can be converted into an uncon...