Web4 Mar 2009 · I've searched and come up with a few different results for the term, a couple being purely mathematical (e.g. a function f is sublinear if f(x + y) <= f(x) + f(y) for all x, y. … WebFor the problem of maximizing a monotone, submodular function with respect to a cardinality constraint k on a ground set of size n, we provide an algorithm that achieves the state-of-the-art in ...

Modeling of Slot Waveguide Sensors Based on Polymeric Materials

WebIn [Pan18a, Pan18b], we designed a distributed deterministic asynchronous algorithm for minimizing the sum of subdifferentiable and proximable functions and a regularizing quadratic on time-varying graphs based on Dyks… WebThe topics include the maximal monotonicity of the sum of a maximal monotone linear relation and the subdifferential operator of a sublinear function, sharing risk and … folding chair hire glasgow

Convex and Nonconvex Sublinear Regression with Application to …

WebThis paper investigates the optimal ergodic sublinear convergence rate of the relaxed proximal point algorithm for solving monotone variational inequality problems. The exact worst case convergence rate is computed usi… Web2 Jul 2024 · Sep 2015 - Oct 2015. This was my final year project at the University of Sussex for my Bachelors degree. A CNN was used to generate high-dimensional feature vectors of a large dataset of paintings, using Caffe and Python. Once these high dimensional vectors had been generated, they were then reduced to two-dimensions, for the purpose of ... Web30 Jan 2024 · Definition. Let V be a vector space over R . Let p: V → R be a function . We say that p is a sublinear functional if and only if : (1): p(x + y) ≤ p(x) + p(y) for each x, y ∈ V. (2): … ego and reality in psychoanalytic theory