% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @ARTICLE{Fiedler:1000113, author = {Fiedler, Christian Martin and Herty, Michael and Segala, Chiara and Trimpe, Johann Sebastian}, title = {{R}ecent kernel methods for interacting particle systems: first numerical results}, journal = {European journal of applied mathematics}, volume = {36}, number = {2}, issn = {1469-4425}, address = {Cambridge}, publisher = {Cambridge Univ. Press}, reportid = {RWTH-2025-00171}, pages = {464-489}, year = {2025}, note = {Published online by Cambridge University Press: 11 November 2024}, cin = {422610 / 111410 / 110000 / 120000 / 114610}, ddc = {510}, cid = {$I:(DE-82)422610_20200514$ / $I:(DE-82)111410_20170801$ / $I:(DE-82)110000_20140620$ / $I:(DE-82)120000_20140620$ / $I:(DE-82)114620_20140620$}, pnm = {DFG project G:(GEPRIS)500873292 - SPP 2410: Hyperbolische Erhaltungssätze in der Fluidmechanik: Komplexität, Skalen, Rauschen (CoScaRa) (500873292) / DFG project G:(GEPRIS)462234017 - Meanfield Theorie zur Analysis von Deep Learning Methoden (462234017) / DFG project G:(GEPRIS)390621612 - EXC 2023: Internet of Production (IoP) (390621612) / GRK 2379 - GRK 2379: Hierarchische und hybride Ansätze für moderne inverse Probleme (333849990) / GRK 2326 - GRK 2326: Energie, Entropie und Dissipative Dynamik (320021702) / DFG project G:(GEPRIS)442047500 - SFB 1481: Sparsity und singuläre Strukturen (442047500) / SFB 1481 B04 - Sparsity fördernde Muster in kinetischen Hierarchien (B04) (504291427) / SFB 1481 B05 - Sparsifizierung zeitabhängiger Netzwerkflußprobleme mittels diskreter Optimierung (B05) (504292598) / SFB 1481 B06 - Kinetische Theorie trifft algebraische Systemtheorie (B06) (504292976) / DATAHYKING - Data-driven simulation, uncertainty quantification and optimization for hyperbolic and kinetic models (101072546) / DFG project G:(GEPRIS)441826958 - SPP 2298: Theoretische Grundlagen von Deep Learning (441826958)}, pid = {G:(GEPRIS)500873292 / G:(GEPRIS)462234017 / G:(GEPRIS)390621612 / G:(GEPRIS)333849990 / G:(GEPRIS)320021702 / G:(GEPRIS)442047500 / G:(GEPRIS)504291427 / G:(GEPRIS)504292598 / G:(GEPRIS)504292976 / G:(EU-Grant)101072546 / G:(GEPRIS)441826958}, typ = {PUB:(DE-HGF)16 / PUB:(DE-HGF)7}, UT = {WOS:001352655200001}, doi = {10.1017/S0956792524000706}, url = {https://publications.rwth-aachen.de/record/1000113}, }