{"product_id":"automatic-differentiation-of-algorithms-from-simulation-to-optimization-0387953051","title":"Automatic Differentiation of Algorithms: From Simulation to Optimization","description":"\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0387953051\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Corliss, George\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003c\/p\u003e\u003cp\u003eAutomatic Differentiation (AD) is a maturing computational technology and has become a mainstream tool used by practicing scientists and computer engineers. The rapid advance of hardware computing power and AD tools has enabled practitioners to quickly generate derivative-enhanced versions of their code for a broad range of applications in applied research and development.Automatic Differentiation of Algorithms provides a comprehensive and authoritative survey of all recent developments, new techniques, and tools for AD use. The book covers all aspects of the subject: mathematics, scientific programming (i.e., use of adjoints in optimization) and implementation (i.e., memory management problems). A strong theme of the book is the relationships between AD tools and other software tools, such as compilers and parallelizers. A rich variety of significant applications are presented as well, including optimum-shape design problems, for which AD offers more efficient tools and techniques.\u003c\/p\u003e","brand":"Mia Karts","offers":[{"title":"Default Title","offer_id":51823813329184,"sku":"NEW0387953051","price":60.26,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/71x10YdcdjL.jpg?v=1781203148","url":"https:\/\/miakarts.com\/products\/automatic-differentiation-of-algorithms-from-simulation-to-optimization-0387953051","provider":"Miakarts Books","version":"1.0","type":"link"}