02276nam0 22004573i 450 VAN024914320230530094625.382N978303039568120220805d2020 |0itac50 baengCH|||| |||||First-order and Stochastic Optimization Methods for Machine LearningGuanghui LanChamSpringer2020xiii, 582 p.ill.24 cm001VAN01138822001 Springer series in the Data Sciences210 Berlin [etc.]SpringerVAN0249147First-order and Stochastic Optimization Methods for Machine Learning239116168-XXComputer science [MSC 2020]VANC019670MF90C25Convex programming [MSC 2020]VANC019709MF90C15Stochastic programming [MSC 2020]VANC021355MF68W15Distributed algorithms [MSC 2020]VANC023139MF68T05Learning and adaptive systems in artificial intelligence [MSC 2020]VANC023390MF90C26Nonconvex programming, global optimization [MSC 2020]VANC026769MF68W20Randomized algorithms [MSC 2020]VANC033862MF68W27Online algorithms; streaming algorithms [MSC 2020]VANC035657MFDistributed and decentralized methodsKW:KMachine learning algorithmsKW:KNonconvex optimization methodsKW:KRandomized algorithmsKW:KStochastic optimization methodsKW:KCHChamVANL001889LanGuanghuiVANV2038181017962Springer <editore>VANV108073650ITSOL20240614RICAhttp://doi.org/10.1007/978-3-030-39568-1E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN0249143BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 4655 08eMF4655 20220805 First-order and Stochastic Optimization Methods for Machine Learning2391161UNICAMPANIA