Convex math optimization problem

  • What is convexity math?

    In mathematics, a real-valued function is called convex if the line segment between any two distinct points on the graph of the function lies above the graph between the two points.
    Equivalently, a function is convex if its epigraph (the set of points on or above the graph of the function) is a convex set..

The general problem of convex optimization is to find the minimum of a convex (or quasiconvex) function f on a finite-dimensional convex body A. Methods of solution include Levin's algorithm and the method of circumscribed ellipsoids, also called the Nemirovsky-Yudin-Shor method.

Categories

Convex optimization parameters
Python convex optimization package
Matlab convex optimization package
Convex optimization problem paper
Parametric convex optimization
Parametric convex optimization problem
Convex quadratic optimization problem
Quantum convex optimization
Convex qcqp
Non-convex optimization saddle point
Convex optimization complex variables
Convex optimization change of variables
Convex optimal value
Water convex optimization
Convex optimization ways
Convex functions
Convex optimization ml
Convex optimization obstacle avoidance
Convex objective optimization
Convex optimization multi-objective