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ORCIDMathematical Programming, Volume 167
Volume 167, Number 1, January 2018
- Panos Parpas
, Daniel Ralph, Wolfram Wiesemann:
Special issue: Optimization models and algorithms for data science. 1-3 - Ethan X. Fang, Han Liu, Kim-Chuan Toh, Wen-Xin Zhou:
Max-norm optimization for robust matrix recovery. 5-35 - Amir Beck, Edouard Pauwels, Shoham Sabach:
Primal and dual predicted decrease approximation methods. 37-73 - Chris Junchi Li, Mengdi Wang, Han Liu, Tong Zhang:
Near-optimal stochastic approximation for online principal component estimation. 75-97 - Patrick L. Combettes, Saverio Salzo, Silvia Villa:
Consistent learning by composite proximal thresholding. 99-127 - Armeen Taeb, Venkat Chandrasekaran:
Interpreting latent variables in factor models via convex optimization. 129-154 - Marco C. Campi, Simone Garatti:
Wait-and-judge scenario optimization. 155-189 - Peyman Mohajerin Esfahani, Soroosh Shafieezadeh-Abadeh, Grani Adiwena Hanasusanto, Daniel Kuhn:
Data-driven inverse optimization with imperfect information. 191-234
Volume 167, Number 2, February 2018
- Dimitris Bertsimas, Vishal Gupta, Nathan Kallus:
Data-driven robust optimization. 235-292 - Neil Olver, Rico Zenklusen:
Chain-constrained spanning trees. 293-314 - Annie Raymond, James Saunderson, Mohit Singh, Rekha R. Thomas:
Symmetric sums of squares over k-subset hypercubes. 315-354 - Alexey F. Izmailov, Alexey S. Kurennoy, Mikhail V. Solodov:
Critical solutions of nonlinear equations: local attraction for Newton-type methods. 355-379 - Gennadiy Averkov, Volker Kaibel, Stefan Weltge:
Maximum semidefinite and linear extension complexity of families of polytopes. 381-394 - Dimitris Bertsimas, Angelos Georghiou:
Binary decision rules for multistage adaptive mixed-integer optimization. 395-433 - Minghui Liu, Gábor Pataki:
Exact duals and short certificates of infeasibility and weak infeasibility in conic linear programming. 435-480
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