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Linear complementarity problem

💡 Words with a Similar Meaning to "Linear complementarity problem"

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WordDefinition
quadratic programmingthe process of solving certain mathematical optimization problems involving quadratic functions.
nonlinear programmingIn mathematics, nonlinear programming is the process of solving an optimization problem where some of the constraints are not linear equalities or the objective function is not a linear function.
quadratic assignment problemThe quadratic assignment problem is one of the fundamental combinatorial optimization problems in the branch of optimization or operations research in mathematics, from the category of the facilities location problems first introduced by Koopmans and Beckmann.
linear-fractional programmingIn mathematical optimization, linear-fractional programming is a generalization of linear programming.
branch and priceIn applied mathematics, branch and price is a method of combinatorial optimization for solving integer linear programming and mixed integer linear programming problems with many variables.
semidefinite programminga subfield of mathematical programming concerned with the optimization of a linear objective function (a user-specified function that the user wants to minimize or maximize)
biharmonic equationIn mathematics, the biharmonic equation is a fourth-order partial differential equation which arises in areas of continuum mechanics, including linear elasticity theory and the solution of Stokes flows.
linear programmingnoun(mathematics) The branch of mathematics concerned with the minimization or maximization of a linear function of several variables and inequalities; used in many branches of industry to minimize costs or maximize production.
lagrangian relaxationIn the field of mathematical optimization, Lagrangian relaxation is a relaxation method which approximates a difficult problem of constrained optimization by a simpler problem.
sum-of-squares optimizationA sum-of-squares optimization program is an optimization problem with a linear cost function and a particular type of constraint on the decision variables.
constrained optimizationIn 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.
linear differential equationIn mathematics, a linear differential equation is a differential equation that is defined by a linear polynomial in the unknown function and its derivatives, that is an equation of the form
numerical linear algebranoun(computing) The study of numerical analysis algorithms to solve mathematical problems in the field of linear algebra.
convex optimizationa subfield of mathematical optimization that studies the problem of minimizing convex functions over convex sets (or, equivalently, maximizing concave functions over convex sets).
hydrological optimization
sequential minimal optimizationan algorithm for solving the quadratic programming problem that arises during the training of support-vector machines.
quadratic reciprocitynoun(number theory) The mathematical theorem which states that, for given odd prime numbers p and q, the question of whether p is a square modulo q is equivalent to the question of whether q is a square modulo p.
sequential quadratic programmingan iterative method for constrained nonlinear optimization which may be considered a quasi-Newton method.
conic optimizationa subfield of convex optimization that studies problems consisting of minimizing a convex function over the intersection of an affine subspace and a convex cone.
convex conjugateIn mathematics and mathematical optimization, the convex conjugate of a function is a generalization of the Legendre transformation which applies to non-convex functions.

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