Bounce configuration from gradient flow

Flow Configuration

There are several flow configurations for RO that allow the user to get the most out of the system. This paper will cover a few of the techniques used in RO design to optimize system performance. These techniques include the use of concentrate staging and concentrate recirculation to increase recovery, permeate staging to attain ultrapure standards of separation, and permate throttling and inte...

How to bounce back from adversity.

Stein Variational Gradient Descent as Gradient Flow

Stein variational gradient descent (SVGD) is a deterministic sampling algorithm that iteratively transports a set of particles to approximate given distributions, based on a gradient-based update that guarantees to optimally decrease the KL divergence within a function space. This paper develops the first theoretical analysis on SVGD. We establish that the empirical measures of the SVGD samples...

Shape from Second-Bounce of Light Transport

This paper describes a method to recover scene geometry from the second-bounce of light transport. We show that form factors (up to a scaling ambiguity) can be derived from the second-bounce component of light transport in a Lambertian case. The form factors carry information of the geometric relationship between every pair of scene points, i.e., distance between scene points and relative surfa...

An Open Universe from Valley Bounce

It appears difficult to construct a simple model for an open universe based on the one bubble inflationary scenario. The reason is that one needs a large mass to avoid the tunneling via the Hawking Moss solution and a small mass for successful slowrolling. However, Rubakov and Sibiryakov suggest that the Hawking Moss solution is not a solution for the false vacuum decay process because it does ...