Mathematical functions for BUGS and nimbleFunction programmingNIMBLE Development Team
Here I present a small library of mathematically oriented subfunctions, encompassing functions for Matrix & Vector manipulation, Trigonometric functions, Complex Number functions, Factorial functions & Geometric functions.Information about the purpose each function and its required arguments is detailed in ...
Mathematical Programming, the official journal of the Mathematical Optimization Society, is dedicated to publishing original articles that address every facet of mathematical optimization. This includes all considerations related to the optimization of a functions of multiple variables, often subject to a se...
4.3.2.2.2 Linear programming The linear programming (LP) in continuous variables, with values in R+ or a subset of R+, consists in optimizing a criterion, otherwise called objective function, calculated from some of the variables using a formula, while assuring that constraints on the variables...
Mathematical Programming, the official journal of the Mathematical Optimization Society, is dedicated to publishing original articles that address every facet of mathematical optimization. This includes all considerations related to the optimization of a functions of multiple variables, often subject to a se...
r-Invex functionDualityAn η-approximation approach introduced by Antczak [T. Antczak, A new method of solving nonlinear mathematical programming problems involving r-invex functions, J. Math. Anal. Appl. 311 (2005) 313–323] is used to obtain a solution Mond–Weir dual problems involving r-...
Schrijver, Cones of matrices and set-functions and 0–1 optimization,SIAM Journal on Optimization 1 (2) (1991) 166–190. Article MATH MathSciNet Google Scholar Y.E. Nesterov and A.S. Nemirovskii,Interior Point Polynomial Algorithms in Convex Programming (SIAM, Philadelphia, PA, 1994). ...
Optimality conditions for non-finite valued convex composite functions. James V. BurkeR. A. Poliquin 原文链接 谷歌学术 必应学术 百度学术 Generalizations of Slater's constraint qualification for infinite convex programs. Vaithilingam JeyakumarHenry Wolkowicz ...
Mathematical Programming Submit manuscript Patrick R. Johnstone & Pierre Moulin 1120 Accesses 2 Altmetric Explore all metrics Abstract The purpose of this manuscript is to derive new convergence results for several subgradient methods applied to minimizing nonsmooth convex functions with Hölderian ...
Nonlinear programming (NLP): Objective function and constraints are expressed by nonlinear functions. • Mixed-integer nonlinear programming: Nonlinear problems in which some decision variables are integers. Mathematical programs and their terminology are due to George B. Dantzig, the inventor of the ...