Linearly convergent away-step conditional gradient for non-strongly convex functions

Author:

Beck Amir,Shtern Shimrit

Funder

Israel Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

General Mathematics,Software

Reference24 articles.

1. Beck, A., Teboulle, M.: A conditional gradient method with linear rate of convergence for solving convex linear systems. Math. Methods of Oper. Res. 59(2), 235–247 (2004)

2. Beck, A., Teboulle, M.: Gradient-based algorithms with applications to signal recovery problems. In: Palomar, D., Eldar, Y. (eds.) Convex Optimization in Signal Processing and Communications, pp. 139–162. Cambridge University Press, Cambridge (2009)

3. Bertsekas, D.P.: Nonlinear Programming, 2nd edn. Athena Scientific, Belmont, MA, USA (1999)

4. Bertsimas, D., Tsitsiklis, J.N.: Introduction to Linear Optimization, vol. 6. Athena Scientific, Belmont (1997)

5. Canon, M.D., Cullum, C.D.: A tight upper bound on the rate of convergence of Frank-Wolfe algorithm. SIAM J. Control 6(4), 509–516 (1968)

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