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A cone $K$, where $K ⊆\Bbb R^n$ , is pointed; which means that it contains no line (or equivalently, $(x ∈ K~\land~ −x∈K) ~\to~ x=\vec 0$.
A numerical approach for detecting switch-like bistability in mass
Peter Richtarik
Geometry of the Efficient Frontier
Convex Optimization - MATLAB & Simulink
PDF) Newton-Raphson Consensus for Distributed Convex Optimization
4 The power cones — MOSEK Modeling Cookbook 3.3.0
Optimization Algorithms for Machine Learning
optimization - Why is convexity important in mathematics
Level-set methods for convex optimization
Convex Cones: Building Blocks of Convexity - FasterCapital
advances in architectural geometry 2016 by roland vasquez - Issuu
A view of the Milne universe.
convex optimization - Finding the inverse image of a function
