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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. Quadratically constrained quadratic program - Wikipedia

    en.wikipedia.org/wiki/Quadratically_constrained...

    There are two main relaxations of QCQP: using semidefinite programming (SDP), and using the reformulation-linearization technique (RLT). For some classes of QCQP problems (precisely, QCQPs with zero diagonal elements in the data matrices), second-order cone programming (SOCP) and linear programming (LP) relaxations providing the same objective value as the SDP relaxation are available.

  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. Semidefinite programming - Wikipedia

    en.wikipedia.org/wiki/Semidefinite_programming

    A linear programming problem is one in which we wish to maximize or minimize a linear objective function of real variables over a polytope.In semidefinite programming, we instead use real-valued vectors and are allowed to take the dot product of vectors; nonnegativity constraints on real variables in LP (linear programming) are replaced by semidefiniteness constraints on matrix variables in ...

  7. NFL Week 17 bold predictions: Which players and teams will ...

    www.aol.com/nfl-week-17-bold-predictions...

    The NFL playoff picture will soon be locked in, but teams still have an opening to make a statement. Here are our bold predictions for Week 17.

  8. Has NFL ever moved a playoff game before? LA wildfires puts ...

    www.aol.com/nfl-ever-moved-playoff-game...

    The NFL's decision to move the Rams-Vikings game marks just the second time the league's moved a playoff game in its 105-season history. While Monday's game is being moved for safety concerns ...

  9. 11 Fast-Food Soups, Ranked Best to Worst - AOL

    www.aol.com/finance/11-fast-food-soups-ranked...

    4. Wendy’s Chili. Price: $2.69 cup / $3.59 bowl Let’s address the elephant in the room, because it’s a story so damning for Wendy’s that even today in 2024, it made me hesitate to order this.