乐胖代购免代理版

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$\\mathcal {O}(n\\log n)$<\/jats:tex-math>\n O<\/mml:mi>\n (<\/mml:mo>\n n<\/mml:mi>\n log<\/mml:mi>\n n<\/mml:mi>\n )<\/mml:mo>\n <\/mml:math><\/jats:alternatives><\/jats:inline-formula> instead of

$\\mathcal {O}(n^{2})$<\/jats:tex-math>\n O<\/mml:mi>\n (<\/mml:mo>\n \n \n n<\/mml:mi>\n <\/mml:mrow>\n \n 2<\/mml:mn>\n <\/mml:mrow>\n <\/mml:msup>\n )<\/mml:mo>\n <\/mml:math><\/jats:alternatives><\/jats:inline-formula> where n<\/jats:italic> denotes the number of unknowns in the discretization) and reduces the dimension of the optimization problem, allowing for efficient and accurate kernel reconstructions. We provide and compare two approaches which we will illustrate in numerical tests.<\/jats:p>","DOI":"10.1007\/s10444-021-09871-w","type":"journal-article","created":{"date-parts":[[2021,5,3]],"date-time":"2021-05-03T15:39:10Z","timestamp":1620056350000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Reconstruction of low-rank aggregation kernels in univariate population balance equations"],"prefix":"10.1007","volume":"47","author":[{"given":"Robin","family":"Ahrens","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-4399-4442","authenticated-orcid":false,"given":"Sabine","family":"Le Borne","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,5,2]]},"reference":[{"issue":"1","key":"9871_CR1","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1006\/jcis.1996.0530","volume":"183","author":"AS Bramley","year":"1996","unstructured":"Bramley, A.S., Hounslow, M.J., Ryall, R.L.: Aggregation during precipitation from solution: A method for extracting rates from experimental data. 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