{"product_id":"9783031901775","title":"Texts in Computer Science: Including Legacy Examples from Fortran and MathCAD in High Precision","description":"\u003ch1\u003eTexts in Computer Science: Including Legacy Examples from Fortran and MathCAD in High Precision\u003c\/h1\u003e \u003ch2\u003eDelic, George\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\"\u003eThe focus of this unique textbook\/reference is on numerical algorithms that are stable and provide high precision in common numerical problems encountered in large-scale modeling projects. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-US\"\u003eThe techniques presented are based on algorithms developed by the author over six decades of research and publications in peer-reviewed journals. The exposition includes topics typical of numerical analysis courses and is supplemented with examples of algorithms demonstrated in an engineering worksheet that is easy to read and comprehend. Each chapter ends with exercises and programming problems. Additional examples are available as downloadable Fortran code based on the author’s large-scale models in computational physics. The limitations of commodity processors and modern compilers is discussed, with advice provided on how to control them in an algorithm’s code design. An ample bibliography of over 200 citations provides a guide to further reading.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"EN-US\"\u003eTopics, features, and emphases:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"margin-left: 72.0pt; text-indent: -18.0pt; mso-list: l0 level1 lfo1;\"\u003e\u003c!-- [if !supportLists]--\u003e\u003cspan lang=\"EN-US\" style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol;\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003e·\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e         \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c!--[endif]--\u003e\u003cstrong\u003e\u003cspan lang=\"EN-US\"\u003eStability\u003c\/span\u003e\u003c\/strong\u003e\u003cspan lang=\"EN-US\"\u003e: knowing the range of algorithm parameters for producing reliable results\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-left: 72.0pt; text-indent: -18.0pt; mso-list: l0 level1 lfo1;\"\u003e\u003c!-- [if !supportLists]--\u003e\u003cspan lang=\"EN-US\" style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol;\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003e·\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e         \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c!--[endif]--\u003e\u003cstrong\u003e\u003cspan lang=\"EN-US\"\u003eAccuracy\u003c\/span\u003e\u003c\/strong\u003e\u003cspan lang=\"EN-US\"\u003e: understanding convergence to a result through quantitative metrics \u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-left: 72.0pt; text-indent: -18.0pt; mso-list: l0 level1 lfo1;\"\u003e\u003c!-- [if !supportLists]--\u003e\u003cspan lang=\"EN-US\" style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol;\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003e·\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e         \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c!--[endif]--\u003e\u003cstrong\u003e\u003cspan lang=\"EN-US\"\u003ePrecision\u003c\/span\u003e\u003c\/strong\u003e\u003cspan lang=\"EN-US\"\u003e: advance knowledge of the expected numerical precision and how to control it\u003cspan style=\"mso-tab-count: 1;\"\u003e  \u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"margin-left: 72.0pt; text-indent: -18.0pt; mso-list: l0 level1 lfo1;\"\u003e\u003c!-- [if !supportLists]--\u003e\u003cspan lang=\"EN-US\" style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol;\"\u003e\u003cspan style=\"mso-list: Ignore;\"\u003e·\u003cspan style=\"font: 7.0pt 'Times New Roman';\"\u003e         \u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c!--[endif]--\u003e\u003cstrong\u003e\u003cspan lang=\"EN-US\"\u003eEfficiency\u003c\/span\u003e\u003c\/strong\u003e\u003cspan lang=\"EN-US\"\u003e: translating an algorithm into code with limited redundant computation\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-US\"\u003eThe primary target audience of this textbook\/guide are senior graduate (or postgraduate) students in computer science and scientific or engineering fields who are starting on a career path as the next generation of model developers for high-performance computing (HPC). Additionally, the book will appeal to professionals engaged in large-scale computer model development who could use the volume as a course supplement or reference. \u003cspan style=\"mso-spacerun: yes;\"\u003e   \u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-US\"\u003eThe author is an Honorary Fellow of the University of Wollongong, New South Wales, Australia. \u003cspan style=\"mso-spacerun: yes;\"\u003e \u003c\/span\u003eHe is active as a private consultant in HPC and CEO of HiPERiSM Consulting, LLC, in the United States of America.\u003c\/span\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2025-10-28\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783031901775\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-031-90178-2\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 243\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44309208957068,"sku":"9783031901775","price":76.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783031901775.jpg?v=1775734526","url":"https:\/\/lateknightbooks.com\/products\/9783031901775","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}