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

optimization, fractional programming is a generalization of linear-fractional programming. The objective function in a fractional program is a ratio of...

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

In mathematics, a linear fractional transformation is, roughly speaking, an invertible transformation of the form z ↦ a z + b c z + d . {\displaystyle...

for solving a linear program, using a single-phase simplex. Linear–fractional programming (LFP) is a generalization of linear programming (LP). In LP the...

in common. Fractional graph coloring can be viewed as the linear programming relaxation of traditional graph coloring. Indeed, fractional coloring problems...

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

designed for linear programming Extensions of the simplex algorithm, designed for quadratic programming and for linear-fractional programming Variants of...

there are criss-cross algorithms for linear-fractional programming problems, quadratic-programming problems, and linear complementarity problems. Like the...

constrained quadratic program Linear-fractional programming — objective is ratio of linear functions, constraints are linear Fractional programming — objective...

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

ISO/IEC 9899::1999(E): Programming languages — C (2nd ed), 1999; Section 6.3.1.4, p. 43. Iverson, Kenneth E. (1962), A Programming Language, Wiley Lemmermeyer...

of linear-fractional programming. Assuming that the feasible region is non-empty and bounded, it is possible to transform a linear-fractional program into...

of set s ∈ S {\displaystyle s\in {\mathcal {S}}} . Fractional set cover is described by a program identical to the one given above, except that x s {\displaystyle...

integral matching is of size one. A largest fractional matching in a graph can be found by linear programming, or alternatively by a maximum flow algorithm...

using standard methods for solving continuous linear programs. While this formulation allows also fractional variable values, in this special case, the LP...

satisfying all of these constraints can be thought of as the fractional solutions of a linear programming relaxation of the stable matching problem. It is a theorem...

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

example, linear–fractional programs have pseudolinear objective functions and linear–inequality constraints. These properties allow fractional-linear problems...

linear programming problems. Similar results were made in convex quadratic programming by Todd and Terlaky. It has been applied to linear-fractional programming...

that fractional components are available for purchase. Therefore, a more realistic approach to cash flow matching is to employ mixed-integer linear programming...

generalized linear models – Statistical linear modelPages displaying short descriptions of redirect targets Fractional model Generalized linear array model –...

and fractional component. Such a multiplier is called a fractional-N synthesizer after its fractional component.[failed verification] Fractional-N synthesizers...

The configuration linear program (configuration-LP) is a linear programming technique used for solving combinatorial optimization problems. It was introduced...

abelian group generated by all divisors) is closely related to the group of fractional ideals for a Dedekind domain. An algebraic cycle is a higher codimension...

binary search. In particular, fractional cascading speeds up binary searches for the same value in multiple arrays. Fractional cascading efficiently solves...

of combinatorial optimization for solving integer linear programs (ILPs), that is, linear programming (LP) problems where some or all the unknowns are...

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

NP-complete, the fractional graph isomorphism problem is decidable in polynomial time because it is a special case of the linear programming problem, for...

geometry Linear transformation between modules in linear algebra. Also called a linear map. Transformation matrix which represent linear maps in linear algebra...