Examples of using Integer linear in English and their translations into Spanish
{-}
-
Colloquial
-
Official
Learn simple models of integer linear programming.
Integer Linear programming problem properties.
Heuristic methods for integer linear programming problems.
Since integer linear programming is NP-hard, many problem instances are intractable and so heuristic methods must be used instead.
Problems: Resolution of small integer linear programming problems.
The original applications were to give polynomial-time algorithms for factorizing polynomials with rational coefficients, for finding simultaneous rationalapproximations to real numbers, and for solving the integer linear programming problem in fixed dimensions.
An experimental analysis of this integer linear programming approach is exposed.
Alternative and complementary algorithms include evolution strategies, evolutionary programming, simulated annealing, Gaussian adaptation, hill climbing, and swarm intelligence(e.g.: ant colony optimization, particle swarm optimization) andmethods based on integer linear programming.
Then TSP can be written as the following integer linear programming problem.
In particular, the special case of 0-1 integer linear programming, in which unknowns are binary, and only the restrictions must be satisfied, is one of Karp's 21 NP-complete problems.
Learn applying taboo search technique to solve integer linear programming.
In many settings the term refers to integer linear programming(ILP), in which the objective function and the constraints(other than the integer constraints) are linear. .
Learn the basic models of coating in the form of integer linear programming problem.
These considerations occur frequently in practice and so integer linear programming can be used in many applications areas, some of which are briefly described below.
Notable contributions were made by George Dantzig, Delbert Ray Fulkerson and Selmer M. Johnson from the RAND Corporation,who expressed the problem as an integer linear program and developed the cutting plane method for its solution.
Branch and cut is a method of combinatorial optimization for solving integer linear programs(ILPs), that is, linear programming(LP) problems where some or all the unknowns are restricted to integer values.
Learn to formulate policies as logical constraints in integer linear programming model.
Such procedures are commonly used to find integer solutions to mixed integer linear programming(MILP) problems, as well as to solve general, not necessarily differentiable convex optimization problems.
This ensures that p andq themselves are integer linear combinations of the other two vectors.
Large Scale Linear and Integer Optimization: A Unified Approach.
Theory: Exhibition programaciói basic properties of linear integer problems and the concept of linear relaxation.