{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T07:18:24Z","timestamp":1743146304721,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031360237"},{"type":"electronic","value":"9783031360244"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-36024-4_34","type":"book-chapter","created":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T15:17:07Z","timestamp":1687879027000},"page":"439-453","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Optimal Knots Selection in\u00a0Fitting Degenerate Reduced Data"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2907-8632","authenticated-orcid":false,"given":"Ryszard","family":"Kozera","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9595-0735","authenticated-orcid":false,"given":"Lyle","family":"Noakes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,6,26]]},"reference":[{"key":"34_CR1","unstructured":"de Boor, C.: A Practical Guide to Splines, 2nd edn. Springer, New York (2001). https:\/\/link.springer.com\/book\/9780387953663"},{"key":"34_CR2","doi-asserted-by":"publisher","unstructured":"Farouki, R.T.: Optimal parameterizations. Comput. Aided Geom. Des. 14(2), 153\u2013168 (1997). https:\/\/doi.org\/10.1016\/S0167-8396(96)00026-X","DOI":"10.1016\/S0167-8396(96)00026-X"},{"key":"34_CR3","doi-asserted-by":"publisher","unstructured":"Kozera, R., Noakes, L.: Optimal knots selection for sparse reduced data. In: Huang, F., Sugimoto, A. (eds.) PSIVT 2015. LNCS, vol. 9555, pp. 3\u201314. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-30285-0_1","DOI":"10.1007\/978-3-319-30285-0_1"},{"key":"34_CR4","doi-asserted-by":"publisher","unstructured":"Kozera, R., Noakes, L.: Non-linearity and non-convexity in optimal knots selection for sparse reduced data. In: Gerdt, V.P., Koepf, W., Seiler, W.M., Vorozhtsov, E.V. (eds.) CASC 2017. LNCS, vol. 10490, pp. 257\u2013271. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-66320-3_19","DOI":"10.1007\/978-3-319-66320-3_19"},{"key":"34_CR5","doi-asserted-by":"publisher","unstructured":"Kozera, R., Noakes, L., Wilko\u0142azka, M.: Parameterizations and Lagrange cubics for fitting multidimensional data. In: Krzhizhanovskaya, V.V., Z\u00e1vodszky, G., Lees, M.H., Dongarra, J.J., Sloot, P.M.A., Brissos, S., Teixeira, J. (eds.) ICCS 2020. LNCS, vol. 12138, pp. 124\u2013140. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-50417-5_10","DOI":"10.1007\/978-3-030-50417-5_10"},{"key":"34_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1007\/978-3-030-77970-2_26","volume-title":"Computational Science \u2013 ICCS 2021","author":"R Kozera","year":"2021","unstructured":"Kozera, R., Noakes, L., Wili\u0144ski, A.: Generic case of Leap-Frog Algorithm for optimal knots selection in fitting reduced data. In: Paszynski, M., Kranzlm\u00fcller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds.) ICCS 2021. LNCS, vol. 12745, pp. 337\u2013350. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-77970-2_26"},{"key":"34_CR7","doi-asserted-by":"publisher","unstructured":"Kozera, R., Noakes L.: Non-generic case of Leap-Frog Algorithm for optimal knots selection in fitting reduced data. In: Groen, D., et al. (eds.) ICCS 2022, pp. 341\u2013354. LNCS vol. 13352, Part III, Springer Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-08757-8_29","DOI":"10.1007\/978-3-031-08757-8_29"},{"key":"34_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2020.125645","volume":"391","author":"R Kozera","year":"2021","unstructured":"Kozera, R., Noakes, L., Wilko\u0142azka, M.: Exponential parameterization to fit reduced data. Appl. Math. Comput. 391, 125645 (2021). https:\/\/doi.org\/10.1016\/j.amc.2020.125645","journal-title":"Appl. Math. Comput."},{"key":"34_CR9","doi-asserted-by":"publisher","unstructured":"Kozera, R., Wili\u0144ski, A.: Fitting dense and sparse reduced data. In: Peja\u015b, J., El Fray, I., Hyla, T., Kacprzyk, J. (eds.) ACS 2018. AISC, vol. 889, pp. 3\u201317. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-03314-9_1","DOI":"10.1007\/978-3-030-03314-9_1"},{"key":"34_CR10","doi-asserted-by":"crossref","unstructured":"Kuznetsov, E.B., Yakimovich A.Y.: The best parameterization for parametric interpolation. J. Comput. Appl. Math. 191(2), 239\u2013245 (2006). https:\/\/core.ac.uk\/download\/pdf\/81959885.pdf","DOI":"10.1016\/j.cam.2005.06.040"},{"key":"34_CR11","doi-asserted-by":"publisher","unstructured":"Kvasov, B.I.: Methods of Shape-Preserving Spline Approximation. World Scientific Publication, Singapore (2000). https:\/\/doi.org\/10.1142\/4172","DOI":"10.1142\/4172"},{"issue":"6","key":"34_CR12","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1016\/0010-4485(89)90003-1","volume":"21","author":"ETY Lee","year":"1989","unstructured":"Lee, E.T.Y.: Choosing nodes in parametric curve interpolation. Comput. Aided Des. 21(6), 363\u2013370 (1989). https:\/\/doi.org\/10.1016\/0010-4485(89)90003-1","journal-title":"Comput. Aided Des."},{"key":"34_CR13","doi-asserted-by":"publisher","unstructured":"Matebese, B., Withey, D., Banda, M.K.: Modified Newton\u2019s method in the Leapfrog method for mobile robot path planning. In: Dash, S.S., Naidu, P.C.B., Bayindir, R., Das, S. (eds.) Artificial Intelligence and Evolutionary Computations in Engineering Systems. AISC, vol. 668, pp. 71\u201378. Springer, Singapore (2018). https:\/\/doi.org\/10.1007\/978-981-10-7868-2_7","DOI":"10.1007\/978-981-10-7868-2_7"},{"issue":"1","key":"34_CR14","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1017\/S1446788700039380","volume":"65","author":"L Noakes","year":"1998","unstructured":"Noakes, L.: A global algorithm for geodesics. J. Aust. Math. Soc. Ser. A 65(1), 37\u201350 (1998). https:\/\/doi.org\/10.1017\/S1446788700039380","journal-title":"J. Aust. Math. Soc. Ser. A"},{"issue":"2","key":"34_CR15","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1023\/A:1022104332058","volume":"18","author":"L Noakes","year":"2003","unstructured":"Noakes, L., Kozera, R.: Nonlinearities and noise reduction in 3-source photometric stereo. J. Math. Imaging Vision 18(2), 119\u2013127 (2003). https:\/\/doi.org\/10.1023\/A:1022104332058","journal-title":"J. Math. Imaging Vision"},{"key":"34_CR16","doi-asserted-by":"publisher","unstructured":"Piegl, L., Tiller, W.: The NURBS Book. Springer-Verlag, Berlin Heidelberg (1997). https:\/\/doi.org\/10.1007\/978-3-642-97385-7","DOI":"10.1007\/978-3-642-97385-7"}],"container-title":["Lecture Notes in Computer Science","Computational Science \u2013 ICCS 2023"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-36024-4_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T13:08:10Z","timestamp":1723554490000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-36024-4_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031360237","9783031360244"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-36024-4_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"26 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Prague","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-computsci2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iccs-meeting.org\/iccs2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"530","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"188","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"94","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"35% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2,8","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3,2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}