Learn how to identify and resolve infeasibility in linear programming problems using common methods and ... reformulating the model to capture the essence and structure of the problem can help.

The problem of structure sub optimality of the rolling stock for removing of the metallurgical plant’s finished products fleet is researched in this article, which also supposes methodology of solving ...

Additionally, you can practice problems and exercises on optimization and linear programming, like those found on Project Euler or HackerRank. Add your perspective Help others by sharing more (125 ...

In goal programming, the objective functions typically take on the role of driving a linear function of the structural variables to meet a target level as closely as possible. The details of this can ...

The CALIS procedure (Covariance Analysis and Linear Structural Equations) in SAS/STAT software estimates parameters and tests the appropriateness of linear structural equation models using covariance ...

Group decision making with preference information on alternatives is an interesting and important research topic which has been receiving more and more attention in recent years. The purpose of this ...

The computational protein design problem or the side-chain positioning problem is a central part in computational methods for predicting protein structure and designing protein sequences. However, the ...

Linear programming is a mathematical technique used to optimize a system with linear constraints. This repository offers Python implementations of two powerful methods for solving linear programming ...

5. Structure of Linear Programming Model. Generally, all LP problems have these three properties in common: 1) OBJECTIVE FUNCTION: The objective function of an LPP (Linear Programming Problem) is a ...

Word embeddings are often constructed with discriminative models such as deep nets and word2vec. Mikolov et al (2013) showed that these embeddings exhibit linear structure that is useful in solving ...