Andrei Neculai <br/><br/>
Nonlinear conjugate gradient methods for unconstrained optimization 
Andrei Neculai 
 - Switzerland  Springer         2020 
 - xxviii, 498p. ill.  cm 
 - Springer optimization and its applications ISSN 1931-6828; 158 .
<br/><br/>  References 467-486p.; Author index 487-491p.; Subject index 493-498p.  
<br/><br/><label>ISBN: </label>9783030429492 (hbk) 
<br/><br/><label>Standard No.: </label>201941 
<br/><br/><label>Source: </label> 1872, 14/12/2021, Bright Book Service  Textual 
<br/><br/><label>Subjects--Topical Terms: </label><br/> Conjugate gradient methods<br/> Overview of unconstrained optimization<br/> Standard conjugate gradient algorithms<br/>Operational Research
<br/><br/><label>Dewey Class. No.: </label>B2893, R0