Výsledky vyhledávání - "\(D\)-function proximal minimization algorithm"

Nonlinear Proximal Point Algorithms Using Bregman Functions, with Applications to Convex Programming: Nonlinear proximal point algorithms using Bregman functions, with applications to convex programming

Autoři: EcksteinJonathan

Zdroj: Mathematics of Operations Research. 18:202-226

Témata: Convex programming, distance measure, Numerical methods based on nonlinear programming, \(D\)-function proximal minimization algorithm, strictly convex differentiable function, 0211 other engineering and technologies, multiplier methods, 02 engineering and technology, nonlinear version of the proximal point algorithm, Bregman function, nonquadratic variations on the proximal method of multipliers, Monotone operators and generalizations

Popis souboru: application/xml

Přístupová URL adresa: https://dl.acm.org/doi/abs/10.5555/2781820.2781832

NONLINEAR PROXIMAL POINT ALGORITHMS USING BREGMAN FUNCTIONS, WITH APPLICATIONS TO CONVEX PROGRAMMING.

Autoři: Eckstein, Jonathan

Zdroj: Mathematics of Operations Research; Fall93, Vol. 18 Issue 1, p202-226, 25p, 1 Graph

Témata: CONVEX programming, ALGORITHMS, MATHEMATICAL programming, MATHEMATICAL functions, MULTIPLIERS (Mathematical analysis)