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2. Fourier–Motzkin elimination - Wikipedia

   en.wikipedia.org/wiki/Fourier–Motzkin_elimination

   Given a linear constraints system, if the -th inequality is satisfied for any solution of all other inequalities, then it is redundant. Similarly, STIs refers to inequalities that are implied by the non-negativity of information theoretic measures and basic identities they satisfy.

3. Inequality (mathematics) - Wikipedia

   en.wikipedia.org/wiki/Inequality_(mathematics)

   The feasible regions of linear programming are defined by a set of inequalities. In mathematics, an inequality is a relation which makes a non-equal comparison between two numbers or other mathematical expressions. [1] It is used most often to compare two numbers on the number line by their size.

4. Linear inequality - Wikipedia

   en.wikipedia.org/wiki/Linear_inequality

   A linear programming problem seeks to optimize (find a maximum or minimum value) a function (called the objective function) subject to a number of constraints on the variables which, in general, are linear inequalities. [6] The list of constraints is a system of linear inequalities.

5. List of inequalities - Wikipedia

   en.wikipedia.org/wiki/List_of_inequalities

   Toggle Inequalities in pure mathematics subsection. ... 1.6.1 Linear algebra. 1.6.1.1 Eigenvalue inequalities. 1.7 Number theory. 1.8 Probability theory and statistics.

6. Relaxation (iterative method) - Wikipedia

   en.wikipedia.org/wiki/Relaxation_(iterative_method)

   Relaxation methods are used to solve the linear equations resulting from a discretization of the differential equation, for example by finite differences. [ 2 ] [ 3 ] [ 4 ] Iterative relaxation of solutions is commonly dubbed smoothing because with certain equations, such as Laplace's equation , it resembles repeated application of a local ...

7. Simplex algorithm - Wikipedia

   en.wikipedia.org/wiki/Simplex_algorithm

   A system of linear inequalities defines a polytope as a feasible region. The simplex algorithm begins at a starting vertex and moves along the edges of the polytope until it reaches the vertex of the optimal solution. Polyhedron of simplex algorithm in 3D. The simplex algorithm operates on linear programs in the canonical form