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Feasible region information


A problem with five linear constraints (in blue, including the non-negativity constraints). In the absence of integer constraints the feasible set is the entire region bounded by blue, but with integer constraints it is the set of red dots.
A closed feasible region of a linear programming problem with three variables is a convex polyhedron.

In mathematical optimization and computer science, a feasible region, feasible set, or solution space is the set of all possible points (sets of values of the choice variables) of an optimization problem that satisfy the problem's constraints, potentially including inequalities, equalities, and integer constraints.[1] This is the initial set of candidate solutions to the problem, before the set of candidates has been narrowed down.

For example, consider the problem of minimizing the function with respect to the variables and subject to and Here the feasible set is the set of pairs (x, y) in which the value of x is at least 1 and at most 10 and the value of y is at least 5 and at most 12. The feasible set of the problem is separate from the objective function, which states the criterion to be optimized and which in the above example is

In many problems, the feasible set reflects a constraint that one or more variables must be 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 set is a convex polytope: a region in multidimensional space whose boundaries are formed by hyperplanes and whose corners are vertices.

Constraint satisfaction is the process of finding a point in the feasible region.

  1. ^ Beavis, Brian; Dobbs, Ian (1990). Optimisation and Stability Theory for Economic Analysis. New York: Cambridge University Press. p. 32. ISBN 0-521-33605-8.

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Feasible region

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Look up feasibility in Wiktionary, the free dictionary. Feasibility may refer to: Logical possibility, an achievable thing Feasible region, a region that...

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possible results of Phase I are either that a basic feasible solution is found or that the feasible region is empty. In the latter case the linear program...

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Linear programming

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subject to linear equality and linear inequality constraints. Its feasible region is a convex polytope, which is a set defined as the intersection of...

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Nonlinear programming

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contradictory, and no solution exists; the feasible set is the empty set. unbounded problem is a feasible problem for which the objective function can...

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increases to infinity as its argument approaches the boundary of the feasible region of an optimization problem. Such functions are used to replace inequality...

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of the function. In artificial intelligence search algorithms, the feasible region defining the set of all possible solutions In computational geometry...

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Unimodular matrix

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extreme point of the feasible region (e.g. { x ∣ A x ≥ b } {\displaystyle \{x\mid Ax\geq b\}} ) is integral and thus the feasible region is an integral polyhedron...

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Rational choice theory

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the feasible region will be chosen within all the possible and related action. Second, after the preferred option has been chosen, the feasible region that...

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the tangent line drawn from the point of the risk-free asset to the feasible region for risky assets. The tangency point M represents the market portfolio...

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this is unknown, estimating the covariance matrix gives the method of feasible generalized least squares (FGLS). However, FGLS provides fewer guarantees...

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intelligence, the designer algorithmically or manually refines the feasible region of the program's inputs and outputs with each iteration to fulfill...

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Constraint satisfaction

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the variables that satisfies all constraints—that is, a point in the feasible region. The techniques used in constraint satisfaction depend on the kind...

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Solution set

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x ) = 0 } {\displaystyle \{x\in R:\forall i\in I,f_{i}(x)=0\}} The feasible region of a constrained optimization problem is the solution set of the constraints...

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Inequation

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Solution set (portrayed as feasible region) for a sample list of inequations...

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Dual linear program

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objective value of the dual LP at any feasible solution is always a bound on the objective of the primal LP at any feasible solution (upper or lower bound,...

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Branch and bound

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or candidate solutions. The set S is called the search space, or feasible region. The rest of this section assumes that minimization of f(x) is desired;...

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— a constraint that involves exactly two variables Corner solution Feasible region — contains all solutions that satisfy the constraints but may not be...

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combinatorial optimization problem and discussed the properties of the feasible region called 'a solitaire cone'. In 1999 peg solitaire was completely solved...

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Affine scaling

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finds a feasible point from which to start optimizing, while the second does the actual optimization while staying strictly inside the feasible region. Both...

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Mathematical programming with equilibrium constraints

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and multilevel games. MPEC is difficult to deal with because its feasible region is not necessarily convex or even connected. Z.-Q. Luo, J.-S. Pang...

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Center of mass

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method for convex optimization, which uses the center-of-gravity of the feasible region. Physics portal Barycenter Buoyancy Center of percussion Center of...

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Penalty method

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interior to the feasible domain and the barrier is in place to bias the iterates to remain away from the boundary of the feasible region. They are practically...

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