Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/5745
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJAIN, HIMANSHU-
dc.date.accessioned2025-04-01T13:27:09Z-
dc.date.available2025-04-01T13:27:09Z-
dc.date.issued2024-05-
dc.identifier.urihttp://hdl.handle.net/123456789/5745-
dc.descriptionunder embargo perioden_US
dc.language.isoenen_US
dc.publisherIISER Mohalien_US
dc.subjectvariational approachen_US
dc.subjectdeep learningen_US
dc.titleVariational approach to solve partial differential equations using deep learningen_US
dc.typeThesisen_US
dc.guideRaju Ataddaen_US
Appears in Collections:MS-19

Files in This Item:
File Description SizeFormat 
Under Embargo period.odtunder embargo period9.72 kBOpenDocument TextView/Open
Abstract .pdfabstract198.16 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.