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  2. Mathematical programming with equilibrium constraints

    en.wikipedia.org/wiki/Mathematical_programming...

    Mathematical programming with equilibrium constraints (MPEC) is the study of constrained optimization problems where the constraints include variational inequalities or complementarities. MPEC is related to the Stackelberg game. MPEC is used in the study of engineering design, economic equilibrium, and multilevel games.

  3. Active-set method - Wikipedia

    en.wikipedia.org/wiki/Active-set_method

    For the band, see The Active Set. In mathematical optimization, the active-set method is an algorithm used to identify the active constraints in a set of inequality constraints. The active constraints are then expressed as equality constraints, thereby transforming an inequality-constrained problem into a simpler equality-constrained subproblem.

  4. Constrained optimization - Wikipedia

    en.wikipedia.org/wiki/Constrained_optimization

    Constrained optimization. In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective function with respect to some variables in the presence of constraints on those variables. The objective function is either a cost function or energy function, which is to ...

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  6. Constraint (mathematics) - Wikipedia

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

    Constraint (mathematics) In mathematics, a constraint is a condition of an optimization problem that the solution must satisfy. There are several types of constraints—primarily equality constraints, inequality constraints, and integer constraints. The set of candidate solutions that satisfy all constraints is called the feasible set.

  7. Common endometrial cancer test is less effective for Black ...

    www.aol.com/news/common-endometrial-cancer-test...

    The work builds on Doll's previous study, published in 2021 in JAMA Oncology. For that work, the team used a simulated cohort of 370,000 Black and white patients. They found the current 4 mm ...

  8. Affine scaling - Wikipedia

    en.wikipedia.org/wiki/Affine_scaling

    For step sizes β ≤ ⁠ 2 / 3 ⁠, Vanderbei's variant of affine scaling has been proven to converge, while for β > 0.995, an example problem is known that converges to a suboptimal value. [5] : 342 Other variants of the algorithm have been shown to exhibit chaotic behavior even on small problems when β > ⁠ 2 / 3 ⁠ .

  9. Student's t-distribution - Wikipedia

    en.wikipedia.org/wiki/Student's_t-distribution

    In probability and statistics, Student's t distribution (or simply the t distribution) is a continuous probability distribution that generalizes the standard normal distribution. Like the latter, it is symmetric around zero and bell-shaped. However, has heavier tails and the amount of probability mass in the tails is controlled by the parameter ...

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