{"product_id":"basics-of-optimization-theory-9783031292187","title":"Basics of Optimization Theory","description":"\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 147 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 17 August 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis comprehensive book offers a thorough introduction to the fundamental tools of optimization methodology, encompassing linear programming, steepest descent, conjugate gradients, and the Karush-Kuhn-Tucker-John conditions. Each topic is developed within a specific physical model, ensuring that the strategy behind every step is driven by a logical, concrete, and easily visualized objective. A brief exploration of the Fibonacci search algorithm provides a captivating first encounter with optimization theory, while a review of the max-min exposition of one-dimensional calculus prepares readers for the more advanced topics later in the book.\u003cbr\u003e\u003cbr\u003eNotable features of this text include innovative perspectives on the simplex algorithm and the Krushal-Kuhn-Tucker-John conditions, as well as a wealth of helpful diagrams. The author also provides pointers to references for readers who wish to delve deeper into rigorous definitions, proofs, elegant reformulations, and case studies. However, the book is sufficiently self-contained to serve as a reliable resource for readers who wish to leverage commercially available optimization software without investing the time to develop expertise in its intricacies.\u003cbr\u003e\u003cbr\u003eIn addition to its theoretical content, this book also emphasizes the practical applications of optimization techniques in various fields, such as engineering, economics, and operations research. It provides real-world examples and case studies to illustrate the effectiveness of optimization algorithms and their impact on decision-making processes. By presenting a balanced approach that combines theory and practice, this book aims to empower readers with the skills and knowledge necessary to solve complex optimization problems and achieve optimal solutions in their respective fields.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 240 x 168 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783031292187\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2023\u003c\/p\u003e","brand":"Arthur David Snider","offers":[{"title":"Hardback","offer_id":44528837984506,"sku":"9783031292187","price":29.14,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1692380338826_book.jpg?v=1693481018","url":"https:\/\/shulphink.com\/products\/basics-of-optimization-theory-9783031292187","provider":"Shulph Ink","version":"1.0","type":"link"}