<--- Back to Details
First PageDocument Content
Convex analysis / Operations research / Convex optimization / Linear programming / Convex function / Quadratically constrained quadratic program / Optimization problem / Fundamental theorem of linear programming / Shapley–Folkman lemma / Mathematical optimization / Mathematical analysis / Mathematics
Date: 2014-10-28 12:16:17
Convex analysis
Operations research
Convex optimization
Linear programming
Convex function
Quadratically constrained quadratic program
Optimization problem
Fundamental theorem of linear programming
Shapley–Folkman lemma
Mathematical optimization
Mathematical analysis
Mathematics

Add to Reading List

Source URL: www.siam.org

Download Document from Source Website

File Size: 246,52 KB

Share Document on Facebook

Similar Documents

Linear algebra / Convex optimization / Linear programming / Vector space / Line / Linear differential equation / Algebra / Mathematics / Operations research

Numerical Example for Fundamental Theorem of Linear Programming T Given a feasible solution · x = (1, 2,¸0, 1) µ(i.e.¶ Ax = b, x ≥ 0), with p = 3 pos entries

DocID: 17MaO - View Document

Convex analysis / Operations research / Convex optimization / Linear programming / Convex function / Quadratically constrained quadratic program / Optimization problem / Fundamental theorem of linear programming / Shapley–Folkman lemma / Mathematical optimization / Mathematical analysis / Mathematics

PDF Document

DocID: Inbw - View Document

Complex analysis / Polytopes / Simplex / Topology / Operator theory / Fundamental theorem of algebra / Linear programming / Mathematical analysis / Mathematics / Geometry

International Mathematics Competition for University Students July 25–[removed], Budapest, Hungary Day 1 Problem 1. Suppose that f and g are real-valued functions on the real line and f (r) ≤ g(r) for every

DocID: avNO - View Document