MSThD45
Optimization Methods for Inverse Problems  Part II of V
For Part I, see MSThBC45
For Part III, see MSThE45
For Part IV, see MSFrD45
For Part V, see MSFrE45
Date: August 13
Time: 13:3015:30
Room: 213A
(Note: Click title to show the abstract.)
Organizer:
LIU, XIN (AMSS)
WANG, YANFEI (The Inst. of Geology & Geophysics, CAS)
Abstract: In this minisymposium, inverse problems arisen from various areas such as geoscience and petroleum engineering, related optimization models like L1 norm regularization, and advanced optimization methods for solving these models such as first order methods, subspace methods, alternating direction method of multipliers and distributed optimization approaches are discussed.
MSThD451
13:3014:00
Some real problem on inverse of optimal approximation of water flow
Yuan, Jinyun (Federal Univ. of Parana)
Abstract: In Brazil some big river passes inside the city. During the rain season, it causes civil troubles because of waterplant on the surface of river. We like to decide the surface condition of distribution of waterplant to approximate the desired velocity of water flow such that we can reduce civil troubles for society. We shall use optimal approximation model with flow constraints to solve the problem.
MSThD452
14:0014:30
A Dual Method for Minimizing a Nonsmooth Objective over One Smooth Inequality Constraint
Teboulle, Marc (Tel Aviv Univ.)
Abstract: We consider the class of nondifferentiable convex problems which minimizes a nonsmooth convex objective over a smooth inequality constraint. Exploiting the smoothness of the feasible set and using duality, we introduce a simple first order algorithm proven to globally converge to an optimal solution with a sublinear rate. The performance of the algorithm is demonstrated by solving large instances of the convex sparse recovery problem. This is joint work with Ron Shefi.
MSThD453
14:3015:00
A general inertial proximal point method for mixed variational inequality problem
Yang, Junfeng (Nanjing Univ.)
Abstract: We propose inertial variants of the proximal point method and the ADMM. Under certain conditions, we are able to establish the global convergence and $o(1/k)$ convergence rate results (under certain measure). We also demonstrate the effect of the inertial extrapolation step via experimental results on the compressive principal component pursuit problem and some imaging problems.
MSThD454
15:0015:30
Multidimensional illposed problems in applications
Yagola, Anatoly (Lomonosov Moscow State Univ.)
Abstract: It is very important now to develop methods of solving multidimensional illposed problems using regularization procedures and parallel computers. The main purpose of the talk is to show how 2D and 3D Fredholm integral equations of the 1st kind can be effectively solved. We will consider inverse problems of image restoration in electron microscopy and recovery of magnetic target parameters from magnetic sensor measurements.
This paper was supported by the RFBR grant 140191151NSFCa.
Return
Footnote: Code: TypeDateTimeRoom No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:309:30, B=10:0011:00, C=11:1012:10, BC=10:0012:10, D=13:3015:30, E=16:0018:00, F=19:0020:00, G=12:1013:30, H=15:3016:00
Room No.: TBA
