00980nam a22002531i 450099100267131970753620030728112155.0030925s1933 it |||||||||||||||||ita b12322301-39ule_instARCHE-036984ExLBiblioteca InterfacoltàitaA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l.858.9Orsini, Felice453712A vent'anni! :note e avventure di un ragazzo di strada /Felice OrsiniFirenze :Vallecchi,stampa 1933182 p. ;21 cmProsatori italiani contemporanei.b1232230102-04-1408-10-03991002671319707536LE002 858.9 ORS C 01 (Fondo Guerrieri)LE002 It. I H 12 (Fondo Guerrieri)12002000156105le002-E0.00-no 00000.i1272098708-10-03A vent'anni!161657UNISALENTOle00208-10-03ma -itait 0102990nam 22005175 450 991086419210332120240724094930.09789819724352(electronic bk.)978981972434510.1007/978-981-97-2435-2(MiAaPQ)EBC31354988(Au-PeEL)EBL31354988(CKB)32157523300041(DE-He213)978-981-97-2435-2(OCoLC)1436833561(EXLCZ)993215752330004120240527d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierUnconstrained Optimization and Quantum Calculus /by Bhagwat Ram, Shashi Kant Mishra, Kin Keung Lai, Predrag Rajković1st ed. 2024.Singapore :Springer Nature Singapore :Imprint: Springer,2024.1 online resource (150 pages)Uncertainty and Operations Research,2195-9978Print version: Ram, Bhagwat Unconstrained Optimization and Quantum Calculus Singapore : Springer,c2024 9789819724345 Historical Note on Unconstrained Optimization and Quantum Calculus -- Basics of Unconstrained Optimization and Quantum Calculus -- Quantum-Steepest Descent Method with Quasi-Fejér Convergence -- Quantum- Fletcher-Reeves Conjugate Gradient Method -- Quantum-Polak-Ribière-Polyak -- Conjugate Gradient Method.-Quantum-Dai-Yuan Conjugate Gradient Method -- Quantum-Broyden-Fletcher-Goldfarb-Shanno Method -- Quantum-Limited Memory Broyden-Fletcher-Goldfarb-Shanno Method.This book provides a better clue to apply quantum derivative instead of classical derivative in the modified optimization methods, compared with the competing books which employ a number of standard derivative optimization techniques to address large-scale, unconstrained optimization issues. Essential proofs and applications of the various techniques are given in simple manner without sacrificing accuracy. New concepts are illustrated with the help of examples. This book presents the theory and application of given optimization techniques in generalized and comprehensive manner. Methods such as steepest descent, conjugate gradient and BFGS are generalized and comparative analyses will show the efficiency of the techniques.Uncertainty and Operations Research,2195-9978Operations researchOperations Research and Decision TheoryOperations research.Operations Research and Decision Theory.658.403Ram Bhagwat781865Mishra Shashi Kant472378Lai Kin Keung1740993Rajković Predrag1740994MiAaPQMiAaPQMiAaPQ9910864192103321Unconstrained Optimization and Quantum Calculus4166924UNINA