Introduction to Linear Programming Linear programming is a very important class of problems, both algorithmically and combinatorially. Linear programming has many applications. From an algorithmic point-of-view, the simplex was proposed in the forties (soon after the war, and was motivated by military applications) and, although it has performed very well in practice, is known to run in exponential time in the worst-case. On the other hand, since the early seventies when the classes P and NP were defined, it was observed that linear programming is in NP" co-NP although no polynomial-time algorithm was known at that time. The first polynomial-time algorithm, the ellipsoid algorithm, was only discovered at the end of the seventies. Karm...
AbstractThe modern era of interior-point methods dates to 1984, when Karmarkar proposed his algorith...
Linear programming is now included in algorithm undergraduate and postgraduate courses for computer ...
The first comprehensive review of the theory and practice of one of today's most powerful optimizati...
Linear Programming provides an in-depth look at simplex based as well as the more recent interior po...
To this reviewer’s knowledge, this is the first book accessible to the upper division undergraduate ...
This paper is a short didactical introduction to Linear Programming (LP). The main topics are: formu...
Linear programming (LP) is one of the most widely-applied techniques in operations research. Many me...
Most everyday algorithms are well-understood; predictions made theoretically about them closely mat...
Linear Programming (LP) and Integer Linear Programming (ILP) are two of the most powerful tools ever...
Linear programming is one of the most extensively used techniques in the toolbox of quantitative met...
Interest in linear programming has recently been intensified by the publication and discussion of a ...
In this paper the abstract of the thesis "New Interior Point Algorithms in Linear Programming&...
The modern era of interior-point methods dates to 1984, when Karmarkar proposed his algorithm for li...
Today\u27s world is one characterized by rampant scientific research and development. The recent pro...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
AbstractThe modern era of interior-point methods dates to 1984, when Karmarkar proposed his algorith...
Linear programming is now included in algorithm undergraduate and postgraduate courses for computer ...
The first comprehensive review of the theory and practice of one of today's most powerful optimizati...
Linear Programming provides an in-depth look at simplex based as well as the more recent interior po...
To this reviewer’s knowledge, this is the first book accessible to the upper division undergraduate ...
This paper is a short didactical introduction to Linear Programming (LP). The main topics are: formu...
Linear programming (LP) is one of the most widely-applied techniques in operations research. Many me...
Most everyday algorithms are well-understood; predictions made theoretically about them closely mat...
Linear Programming (LP) and Integer Linear Programming (ILP) are two of the most powerful tools ever...
Linear programming is one of the most extensively used techniques in the toolbox of quantitative met...
Interest in linear programming has recently been intensified by the publication and discussion of a ...
In this paper the abstract of the thesis "New Interior Point Algorithms in Linear Programming&...
The modern era of interior-point methods dates to 1984, when Karmarkar proposed his algorithm for li...
Today\u27s world is one characterized by rampant scientific research and development. The recent pro...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
AbstractThe modern era of interior-point methods dates to 1984, when Karmarkar proposed his algorith...
Linear programming is now included in algorithm undergraduate and postgraduate courses for computer ...
The first comprehensive review of the theory and practice of one of today's most powerful optimizati...