{"product_id":"9789819555260","title":"Engineering Applications of Computational Methods: Experiment Design, Modeling, and Applications on Design Optimization","description":"\u003ch1\u003eEngineering Applications of Computational Methods: Experiment Design, Modeling, and Applications on Design Optimization\u003c\/h1\u003e \u003ch2\u003eYi, Jin; Zheng, Jun; Li, Xinyu; Gao, Liang\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp style=\"text-align: justify;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003eThis book delves deeply into\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: SimSun; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-fareast-language: ZH-CN;\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003ethe\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: SimSun; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-fareast-language: ZH-CN;\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003efield of\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: SimSun; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-fareast-language: ZH-CN;\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003evariable-fidelity surrogate modeling, examining its application in the\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: SimSun; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-fareast-language: ZH-CN;\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003eoptimization of\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: SimSun; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-fareast-language: ZH-CN;\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003ecomplex multidisciplinary design optimization problems. The\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: SimSun; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-fareast-language: ZH-CN;\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003etext presents a detailed exploration of\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: SimSun; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-fareast-language: ZH-CN;\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003esurrogate modeling techniques, with\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: SimSun; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-fareast-language: ZH-CN;\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003ea focus on\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: SimSun; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-fareast-language: ZH-CN;\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003evariable-fidelity approaches that integrate models of\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: SimSun; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-fareast-language: ZH-CN;\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003evarying accuracy to\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: SimSun; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-fareast-language: ZH-CN;\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003eenhance the\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: SimSun; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-fareast-language: ZH-CN;\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003eefficiency of\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: SimSun; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-fareast-language: ZH-CN;\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003eoptimization processes. Covering foundational concepts, the\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: SimSun; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-fareast-language: ZH-CN;\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003ebook progresses through diverse modeling strategies, including scaling function-based approaches, sequential techniques, physics-informed neural networks-based and deep transfer learning-based methods. It also addresses critical aspects such as the\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: SimSun; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-fareast-language: ZH-CN;\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003edevelopment of\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: SimSun; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-fareast-language: ZH-CN;\"\u003e \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin;\"\u003esurrogate-assisted optimization algorithms.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: justify;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: major-latin; mso-fareast-font-family: 'Times New Roman'; mso-hansi-theme-font: major-latin; mso-bidi-theme-font: major-latin; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eBy adopting a holistic perspective, this book emphasizes the importance of integrating surrogate models with optimization algorithms to tackle real-world multidisciplinary design challenges. The book is \u003cspan style=\"mso-spacerun: yes;\"\u003e \u003c\/span\u003edesigned for graduate students, researchers, and engineers working in areas such as engineering design, optimization, and computational modeling. It is an essential resource for those interested in advancing the field of surrogate modeling and its applications to complex design optimization tasks, providing both theoretical insights and practical guidance.\u003c\/span\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2026-04-17\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9789819555260\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-981-95-5527-7\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 173\u003c\/p\u003e ","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":44753493098636,"sku":"9789819555260","price":179.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9789819555260.jpg?v=1777385044","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9789819555260","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}