Choosing an objective function for an optimization problem is amodeling issue and there is no a-priori reason that the objective functionmust be linear. Still, it seems that linear 0-1 programming formulationsare overwhelmingly used as models for optimization problemsover discrete structures. We show that this is not an accident. Undersome reasonable conditions (from the modeling point of view), thelinear objective function is the only possible one
Linear programming allows for the optimization of linear functions with several variables. Linear op...
Linear Programming (LP) and Integer Linear Programming (ILP) are two of the most powerful tools ever...
Programming is defined as the planning of activities for the sake of optimization. When linear const...
Linear Programming is developed more than fifty years ago and is since then an important tool for so...
Since the early 1940s the field of operations research has played an increasingly important role. A ...
It is argued that any non-trivial real world problems involve multiple objectives. The simplistic ap...
Optimization is the process of maximizing or minimizing a desired objective function while satisfyin...
This book aims to illustrate with practical examples the applications of linear optimization techniq...
To this point, we’ve only considered problems that can be modeled as a linear objective function wit...
Linear programming is one of the most successful disciplines within the eld of operations research. ...
Parametric linear programming is the study of how optimal properties depend on data parametrizations...
AbstractThe efficiency and effectiveness of most optimization algorithms hinges on the numerical lin...
A weak version of what is sometimes called the fundamental theorem of linear programming states that...
Linear programming (LP) is a highly versatile mathematical optimization technique which has found wi...
The efficiency and effectiveness of most optimization algorithms hinges on the numerical linear alge...
Linear programming allows for the optimization of linear functions with several variables. Linear op...
Linear Programming (LP) and Integer Linear Programming (ILP) are two of the most powerful tools ever...
Programming is defined as the planning of activities for the sake of optimization. When linear const...
Linear Programming is developed more than fifty years ago and is since then an important tool for so...
Since the early 1940s the field of operations research has played an increasingly important role. A ...
It is argued that any non-trivial real world problems involve multiple objectives. The simplistic ap...
Optimization is the process of maximizing or minimizing a desired objective function while satisfyin...
This book aims to illustrate with practical examples the applications of linear optimization techniq...
To this point, we’ve only considered problems that can be modeled as a linear objective function wit...
Linear programming is one of the most successful disciplines within the eld of operations research. ...
Parametric linear programming is the study of how optimal properties depend on data parametrizations...
AbstractThe efficiency and effectiveness of most optimization algorithms hinges on the numerical lin...
A weak version of what is sometimes called the fundamental theorem of linear programming states that...
Linear programming (LP) is a highly versatile mathematical optimization technique which has found wi...
The efficiency and effectiveness of most optimization algorithms hinges on the numerical linear alge...
Linear programming allows for the optimization of linear functions with several variables. Linear op...
Linear Programming (LP) and Integer Linear Programming (ILP) are two of the most powerful tools ever...
Programming is defined as the planning of activities for the sake of optimization. When linear const...