{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T12:42:39Z","timestamp":1699879359821},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T00:00:00Z","timestamp":1698969600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T00:00:00Z","timestamp":1698969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Comput Optim Appl"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s10589-023-00537-5","type":"journal-article","created":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T07:02:11Z","timestamp":1698994931000},"page":"795-800","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Preface to Asen L. Dontchev Memorial Special Issue"],"prefix":"10.1007","volume":"86","author":[{"given":"William W.","family":"Hager","sequence":"first","affiliation":[]},{"given":"R. Tyrrell","family":"Rockafellar","sequence":"additional","affiliation":[]},{"given":"Vladimir M.","family":"Veliov","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,11,3]]},"reference":[{"key":"537_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-023-00509-9","author":"S Adly","year":"2023","unstructured":"Adly, S., Attouch, H., Le, M.: First order inertial optimization algorithms with threshold effects associated with dry friction. Comput. Optim. Appl. (2023). https:\/\/doi.org\/10.1007\/s10589-023-00509-9","journal-title":"Comput. Optim. Appl."},{"key":"537_CR2","doi-asserted-by":"publisher","first-page":"2570","DOI":"10.1137\/21M1393315","volume":"59","author":"M Aghaee","year":"2021","unstructured":"Aghaee, M., Hager, W.: The switch point algorithm. SIAM J. Control. Optim. 59, 2570\u20132593 (2021). https:\/\/doi.org\/10.1137\/21M1393315","journal-title":"SIAM J. Control. Optim."},{"key":"537_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-022-00400-z","author":"F Arag\u00f3n-Artacho","year":"2023","unstructured":"Arag\u00f3n-Artacho, F., Malitsky, Y., Tam, M.: Distributed forward-backward methods for ring networks. Comput. Optim. Appl. (2023). https:\/\/doi.org\/10.1007\/s10589-022-00400-z","journal-title":"Comput. Optim. Appl."},{"key":"537_CR4","doi-asserted-by":"publisher","unstructured":"Artstein, Z.: Comput. Optim. Appl. (2022). Linear singularly perturbed systems without slow-fast split. https:\/\/doi.org\/10.1007\/s10589-022-00412-9","DOI":"10.1007\/s10589-022-00412-9"},{"key":"537_CR5","doi-asserted-by":"publisher","unstructured":"Baier, R., Farkhi, E.: A Filippov approximation theorem for strengthened one-sided Lipschitz differential inclusions. Comput. Optim. Appl. (2023). https:\/\/doi.org\/10.1007\/s10589-023-00517-9","DOI":"10.1007\/s10589-023-00517-9"},{"key":"537_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-022-00378-8","author":"R Bo\u0163","year":"2022","unstructured":"Bo\u0163, R., Ern\u00f6, C., Sedlmayer, M.: An accelerated minimax algorithm for convex-concave saddle point problems with nonsmooth coupling function. Comput. Optim. Appl. (2022). https:\/\/doi.org\/10.1007\/s10589-022-00378-8","journal-title":"Comput. Optim. Appl."},{"key":"537_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-022-00437-0","author":"J Camacho","year":"2022","unstructured":"Camacho, J., L\u00f3pez, M., Parra, J.: Robust and continuous metric subregularity for linear inequality systems. Comput. Optim. Appl. (2022). https:\/\/doi.org\/10.1007\/s10589-022-00437-0","journal-title":"Comput. Optim. Appl."},{"key":"537_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-023-00532-w","author":"J Christiansen","year":"2023","unstructured":"Christiansen, J., Dandurand, B., Eberhard, A., Oliveira, F.: A study of progressive hedging for stochastic integer programming. Comput. Optim. Appl. (2023). https:\/\/doi.org\/10.1007\/s10589-023-00532-w","journal-title":"Comput. Optim. Appl."},{"key":"537_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-023-00473-4","author":"A Corella","year":"2023","unstructured":"Corella, A., Jork, N., Veliov, V.: On the solution stability of parabolic optimal control problems. Comput. Optim. Appl. (2023). https:\/\/doi.org\/10.1007\/s10589-023-00473-4","journal-title":"Comput. Optim. Appl."},{"key":"537_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-022-00398-4","author":"G Eichfelder","year":"2022","unstructured":"Eichfelder, G., Gr\u00fcne, L., Kr\u00fcgel, L.: Relaxed dissipativity assumptions and a simplified algorithm for multiobjective MPC. Comput. Optim. Appl. (2022). https:\/\/doi.org\/10.1007\/s10589-022-00398-4","journal-title":"Comput. Optim. Appl."},{"key":"537_CR11","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-022-00431-6","author":"H Gfrerer","year":"2023","unstructured":"Gfrerer, H., Kruger, A.: Radius theorems for subregularity in infinite dimensions. Comput. Optim. Appl. (2023). https:\/\/doi.org\/10.1007\/s10589-022-00431-6","journal-title":"Comput. Optim. Appl."},{"key":"537_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-022-00429-0","author":"H Gfrerer","year":"2022","unstructured":"Gfrerer, H., Mandlmayr, M., Outrata, J., Valdman, J.: On the SCD semismooth Newton method for generalized equations with application to a class of static contact problems with Coulomb friction. Comput. Optim. Appl. (2022). https:\/\/doi.org\/10.1007\/s10589-022-00429-0","journal-title":"Comput. Optim. Appl."},{"key":"537_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-023-00505-z","author":"S Guo","year":"2023","unstructured":"Guo, S., Qi, H.-D., Zhang, L.: Perturbation analysis of the euclidean distance matrix optimization problem and its numerical implications. Comput. Optim. Appl. (2023). https:\/\/doi.org\/10.1007\/s10589-023-00505-z","journal-title":"Comput. Optim. Appl."},{"key":"537_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-023-00530-y","author":"W Hager","year":"2023","unstructured":"Hager, W.: Extension of switch point algorithm to boundary-value problems. Comput. Optim. Appl. (2023). https:\/\/doi.org\/10.1007\/s10589-023-00530-y","journal-title":"Comput. Optim. Appl."},{"key":"537_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-023-00535-7","author":"C Kaya","year":"2023","unstructured":"Kaya, C., Maurer, H.: Optimization over the Pareto front of nonconvex multi-objective optimal control problems. Comput. Optim. Appl. (2023). https:\/\/doi.org\/10.1007\/s10589-023-00535-7","journal-title":"Comput. Optim. Appl."},{"key":"537_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-023-00465-4","author":"Z Luo","year":"2023","unstructured":"Luo, Z., Qi, L.: Optimality conditions for Tucker low-rank tensor optimization. Comput. Optim. Appl. (2023). https:\/\/doi.org\/10.1007\/s10589-023-00465-4","journal-title":"Comput. Optim. Appl."},{"key":"537_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-023-00484-1","author":"B Martens","year":"2023","unstructured":"Martens, B.: Error estimates for Runge-Kutta schemes of optimal control problems with index 1 DAEs. Comput. Optim. Appl. (2023). https:\/\/doi.org\/10.1007\/s10589-023-00484-1","journal-title":"Comput. Optim. Appl."},{"key":"537_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-023-00494-z","author":"R Rockafellar","year":"2023","unstructured":"Rockafellar, R.: Generic linear convergence through metric subregularity in a variable-metric extension of the proximal point algorithm. Comput. Optim. Appl. (2023). https:\/\/doi.org\/10.1007\/s10589-023-00494-z","journal-title":"Comput. Optim. Appl."},{"key":"537_CR19","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-023-00531-x","author":"C Vitt","year":"2023","unstructured":"Vitt, C., Dentcheva, D., Ruszczy\u0144ski, A., Sandberg, N.: The deepest event cuts in risk-averse optimization with application to radiation therapy design. Comput. Optim. Appl. (2023). https:\/\/doi.org\/10.1007\/s10589-023-00531-x","journal-title":"Comput. Optim. Appl."}],"container-title":["Computational Optimization and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10589-023-00537-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10589-023-00537-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10589-023-00537-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T12:14:59Z","timestamp":1699877699000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10589-023-00537-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,3]]},"references-count":19,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["537"],"URL":"https:\/\/doi.org\/10.1007\/s10589-023-00537-5","relation":{},"ISSN":["0926-6003","1573-2894"],"issn-type":[{"value":"0926-6003","type":"print"},{"value":"1573-2894","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,3]]},"assertion":[{"value":"3 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}