and objective are represented by linear relationships. Linear programming is a special case of mathematical programming (also known as mathematical optimization)...

mixed-integer programming problem. In integer linear programming, the canonical form is distinct from the standard form. An integer linear program in canonical...

example, the linear programming relaxation has a value differing from that of the unrelaxed 0–1 integer program. The linear programming relaxation of...

The dual of a given linear program (LP) is another LP that is derived from the original (the primal) LP in the following schematic way: Each variable in...

mathematics, nonlinear programming (NLP) is the process of solving an optimization problem where some of the constraints are not linear equalities or the objective...

"Linear genetic programming" is unrelated to "linear programming". Linear genetic programming (LGP) is a particular method of genetic programming wherein...

Successive Linear Programming (SLP), also known as Sequential Linear Programming, is an optimization technique for approximately solving nonlinear optimization...

linear-fractional programming (LFP) is a generalization of linear programming (LP). Whereas the objective function in a linear program is a linear function...

The GNU Linear Programming Kit (GLPK) is a software package intended for solving large-scale linear programming (LP), mixed integer programming (MIP),...

function subject to linear constraints on the variables. Quadratic programming is a type of nonlinear programming. "Programming" in this context refers...

Multi-objective linear programming is a subarea of mathematical optimization. A multiple objective linear program (MOLP) is a linear program with more than...

4  Linear programming problems are the simplest convex programs. In LP, the objective and constraint functions are all linear. Quadratic programming are...

ISBN 978-0-538-49790-9 Leonid N. Vaserstein (2006), "Linear Programming", in Leslie Hogben, ed., Handbook of Linear Algebra, Discrete Mathematics and Its Applications...

algorithm, an algorithm for solving linear programming problems, and for his other work with linear programming. In statistics, Dantzig solved two open...

non-negative. In pure integer programming problems, the feasible set is the set of integers (or some subset thereof). In linear programming problems, the feasible...

Logic programming is a programming, database and knowledge representation paradigm based on formal logic. A logic program is a set of sentences in logical...

in a diverse range of SQP methods. Sequential linear programming Sequential linear-quadratic programming Augmented Lagrangian method SQP methods have been...

by solving a non-integer linear program, the linear relaxation of the given integer program. The theory of Linear Programming dictates that under mild...

stochastic programming methods have been developed: Scenario-based methods including Sample Average Approximation Stochastic integer programming for problems...

Semidefinite programming (SDP) is a subfield of mathematical programming concerned with the optimization of a linear objective function (a user-specified...

Sequential linear-quadratic programming (SLQP) is an iterative method for nonlinear optimization problems where objective function and constraints are...

(such as linear television and linear channels). With the beginning of scheduled television in 1936, television programming was initially only concerned...

In linear programming, a discipline within applied mathematics, a basic solution is any solution of a linear programming problem satisfying certain specified...

the mid-1980s. In 1984, Narendra Karmarkar developed a method for linear programming called Karmarkar's algorithm, which runs in provably polynomial time...

optimality. Linear programming optimization problems strictly fall under the category of deterministic global optimization. Much like linear programming problems...

theory and coding theory, linear programming decoding (LP decoding) is a decoding method which uses concepts from linear programming (LP) theory to solve decoding...

Linear actuator Linear element Linear foot Linear system Linear programming Linear differential equation Bilinear Multilinear Linear motor Linear interpolation...

simplex algorithm (or simplex method) is a popular algorithm for linear programming. The name of the algorithm is derived from the concept of a simplex...

some market impact constraints, because they are not linear, cannot be solved by quadratic programming but can be formulated as SOCP problems. The standard...

mathematical programming problem (a term not directly related to computer programming, but still in use for example in linear programming – see History...