ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...

There are two procedures for applying the method of conjugate gradients to the problem of minimizing a convex, nonlinear function: the “continued” method, and the “restarted” method in which all the ...

This file provides functions and modules that construct shapes from a list of cross sections ... The "tangent" method generally produces good results when connecting a discrete polygon to a convex, ...

Proximal methods sit at a higher level of abstraction than classical algorithms like Newton's method: the base operation is evaluating the proximal operator of a function, which itself involves ...

of convexity and duality in locally convex spaces, of extended mean value inequalities in absence of differentiability, of metric regularity, of constrained optimization problems. The second volume is ...

This library makes it easier to construct polyhedra by providing functions to construct, merge, and modify VNF data ... The "quincunx" style adds a vertex in the center of each quadrilateral and ...

MIT economists Arnaud Costinot and Iván Werning show that permanent tariffs can reduce trade deficits if imports behave like ...

Michigan Institute for Data and AI in Society, University of Michigan, 500 Church Street, Suite 600, Ann Arbor, Michigan 48109-1042, United States ...

The 38th annual Convex End-to-End will be held tomorrow [May 3], bringing together walkers and cyclists of all ages for a day of community spirit and charity. Events will start from St.

A random variable is one whose value is unknown or a function that assigns values to ... could be the resulting outcome as seen in the example of the dice. Random variables can be assigned in ...

Routers can make joints, holes, and patterns in wood, but you need the right bit to get a job done. Learn the types of router ...