{"product_id":"9781611974980","title":"First-Order Methods in Optimization","description":"\u003cp\u003eThe primary goal of this book is to provide a self-contained, comprehensive study of the main ?rst-order methods that are frequently used in solving large-scale problems. First-order methods exploit information on values and gradients\/subgradients (but not Hessians) of the functions composing the model under consideration. With the increase in the number of applications that can be modeled as large or even huge-scale optimization problems, there has been a revived interest in using simple methods that require low iteration cost as well as low memory storage.  The author has gathered, reorganized, and synthesized (in a unified manner) many results that are currently scattered throughout the literature, many of which cannot be typically found in optimization books.  First-Order Methods in Optimization offers comprehensive study of first-order methods with the theoretical foundations; provides plentiful examples and illustrations; emphasizes rates of convergence and complexity analysis of the main first-order methods used to solve large-scale problems; and covers both variables and functional decomposition methods.\u003c\/p\u003e","brand":"SIAM - SOCIETY FOR INDUSTRIAL AND APPLIED","offers":[{"title":"Default Title","offer_id":47436478382132,"sku":"9781611974980","price":238.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0651\/9390\/2132\/files\/9781611974980.jpg?v=1774739890","url":"https:\/\/woodslane.com.au\/products\/9781611974980","provider":"Woodslane","version":"1.0","type":"link"}