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  2. Linear complementarity problem - Wikipedia

    en.wikipedia.org/wiki/Linear_complementarity_problem

    with v the Lagrange multipliers on the non-negativity constraints, λ the multipliers on the inequality constraints, and s the slack variables for the inequality constraints. The fourth condition derives from the complementarity of each group of variables ( x , s ) with its set of KKT vectors (optimal Lagrange multipliers) being ( v , λ ) .

  3. Slack variable - Wikipedia

    en.wikipedia.org/wiki/Slack_variable

    Slack variables give an embedding of a polytope into the standard f-orthant, where is the number of constraints (facets of the polytope). This map is one-to-one (slack variables are uniquely determined) but not onto (not all combinations can be realized), and is expressed in terms of the constraints (linear functionals, covectors).

  4. Duality (optimization) - Wikipedia

    en.wikipedia.org/wiki/Duality_(optimization)

    But for some classes of functions, it is possible to get an explicit formula for g(). Solving the primal and dual programs together is often easier than solving only one of them. Examples are linear programming and quadratic programming .

  5. Farkas' lemma - Wikipedia

    en.wikipedia.org/wiki/Farkas'_lemma

    There exist y 1, y 2 such that 6y 1 + 3y 2 ≥ 0, 4y 1 ≥ 0, and b 1 y 1 + b 2 y 2 < 0. Here is a proof of the lemma in this special case: If b 2 ≥ 0 and b 1 − 2b 2 ≥ 0, then option 1 is true, since the solution of the linear equations is = and =.

  6. List of equations in classical mechanics - Wikipedia

    en.wikipedia.org/wiki/List_of_equations_in...

    Classical mechanics is the branch of physics used to describe the motion of macroscopic objects. [1] It is the most familiar of the theories of physics. The concepts it covers, such as mass, acceleration, and force, are commonly used and known. [2] The subject is based upon a three-dimensional Euclidean space with fixed axes, called a frame of ...

  7. Trace inequality - Wikipedia

    en.wikipedia.org/wiki/Trace_inequality

    A function : is said to be operator convex if for all and all , with eigenvalues in , and < <, the following holds (+ ()) + (). Note that the operator + has eigenvalues in , since and have eigenvalues in .

  8. Lieb–Oxford inequality - Wikipedia

    en.wikipedia.org/wiki/Lieb–Oxford_inequality

    In the case of a single particle N = 1 the Coulomb energy vanishes, I P = 0, and the smallest possible constant can be computed explicitly as C 1 = 1.092. [2] The corresponding variational equation for the optimal ρ is the Lane–Emden equation of order 3. For two particles (N = 2) it is known that the smallest possible constant satisfies C 2 ...

  9. Harnack's principle - Wikipedia

    en.wikipedia.org/wiki/Harnack's_principle

    In the mathematical field of partial differential equations, Harnack's principle or Harnack's theorem is a corollary of Harnack's inequality which deals with the convergence of sequences of harmonic functions.