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  2. Second-order cone programming - Wikipedia

    en.wikipedia.org/wiki/Second-order_cone_programming

    The "second-order cone" in SOCP arises from the constraints, which are equivalent to requiring the affine function (+, +) to lie in the second-order cone in +. [ 1 ] SOCPs can be solved by interior point methods [ 2 ] and in general, can be solved more efficiently than semidefinite programming (SDP) problems. [ 3 ]

  3. Conic optimization - Wikipedia

    en.wikipedia.org/wiki/Conic_optimization

    Examples of include the positive orthant + = {:}, positive semidefinite matrices +, and the second-order cone {(,): ‖ ‖}. Often f {\displaystyle f\ } is a linear function, in which case the conic optimization problem reduces to a linear program , a semidefinite program , and a second order cone program , respectively.

  4. CPLEX - Wikipedia

    en.wikipedia.org/wiki/CPLEX

    The IBM ILOG CPLEX Optimizer solves integer programming problems, very large [3] linear programming problems using either primal or dual variants of the simplex method or the barrier interior point method, convex and non-convex quadratic programming problems, and convex quadratically constrained problems (solved via second-order cone programming, or SOCP).

  5. Convex optimization - Wikipedia

    en.wikipedia.org/wiki/Convex_optimization

    In LP, the objective and constraint functions are all linear. Quadratic programming are the next-simplest. In QP, the constraints are all linear, but the objective may be a convex quadratic function. Second order cone programming are more general. Semidefinite programming are more general. Conic optimization are even more general - see figure ...

  6. Mathematical optimization - Wikipedia

    en.wikipedia.org/wiki/Mathematical_optimization

    Such a constraint set is called a polyhedron or a polytope if it is bounded. Second-order cone programming (SOCP) is a convex program, and includes certain types of quadratic programs. Semidefinite programming (SDP) is a subfield of convex optimization where the underlying variables are semidefinite matrices. It is a generalization of linear ...

  7. Sports At Any Cost - projects.huffingtonpost.com

    projects.huffingtonpost.com/ncaa/sports-at-any...

    The HuffPost/Chronicle analysis found that subsidization rates tend to be highest at colleges where ticket sales and other revenue is the lowest — meaning that students who have the least interest in their college’s sports teams are often required to pay the most to support them.

  8. MOSEK - Wikipedia

    en.wikipedia.org/wiki/MOSEK

    Second-order cone programming) and semi-definite (aka. semidefinite programming), which the software is considerably efficient solving. [citation needed] A special feature of the solver, is its interior-point optimizer, based on the so-called homogeneous model.

  9. Parents charged with abuse after child's botched circumcision ...

    www.aol.com/news/parents-charged-abuse-childs...

    The complaint also states the child's father called an emergency hotline to report the child's circumcision. After deputies arrested the child's father at the family's home, he reportedly agreed ...