The gradient projection method for a supporting function on the unit sphere and its applications

Cites Work

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Maximization of a function with Lipschitz continuous gradient
Proximal alternating linearized minimization for nonconvex and nonsmooth problems
Dynamics and control of trajectory tubes. Theory and computation
Uniformly convex subsets of the Hilbert space with modulus of convexity of the second order
Uniform convexity and the splitting problem for selections
Methods for solving a smooth linear time-optimal problem
Reachability analysis of linear systems using support functions
On the convexity of integrals of multivalued mappings. Applications in control theory
Geometry of Banach spaces. Selected topics
Second order discrete approximations to strongly convex differential inclusions
Finding the projection of a point onto the intersection of convex sets via projections onto half-spaces.
Local characterization of strongly convex sets
The gradient projection algorithm for smooth sets and functions in nonconvex case
Integrals of set-valued functions
METRIC REGULARITY—A SURVEY PART 1. THEORY
Strong and Weak Convexity of Sets and Functions
Strongly convex analysis
Interior sphere property of attainable sets and time optimal control problems
Finding Best Approximation Pairs Relative to a Convex and Prox-Regular Set in a Hilbert Space
An algorithm for the numerical solution of linear differential games
Smallest Ellipsoid Containing $p$-Sum of Ellipsoids With Application to Reachability Analysis
An algorithm for projecting a point onto a level set of a quadratic function
Gradient Projection and Conditional Gradient Methods for Constrained Nonconvex Minimization
Sufficient conditions for the linear convergence of an algorithm for finding the metric projection of a point onto a convex compact set
The Strong Convexity Supporting Condition and the Lipschitz Condition for the Metric Projection

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