{"product_id":"9781611978278-numerical-partial-differential-equations","title":"Numerical Partial Differential Equations","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003eNumerical methods for approximating PDE solutions are presented in a rich exploration of discretization techniques such as finite-difference, finite-element, and finite-volume methods. Topics span foundational background, algorithmic strategies, linear solvers, and high-level approaches for advanced students and researchers.\u003cbr\u003eThis comprehensive book focuses on numerical methods for approximating solutions to partial differential equations. Intended as a broad survey of methods, the aim is to introduce readers to the central concepts of various families of discretizations and solution algorithm and lay the foundation needed to understand more advanced material, The book is divided into four parts: \u003cul\u003e\n\u003cli\u003ePart I covers basic background on PDEs and numerical methods,\u003c\/li\u003e\n\u003cli\u003ePart II introduces the three main classes of numerical methods for PDEs that are the book’s focus (finite-difference, finite-element, and finite-volume methods),\u003c\/li\u003e\n\u003cli\u003ePart III discusses linear solvers and finite-element and finite-volume methods at a more advanced level, and\u003c\/li\u003e\n\u003cli\u003ePart IV presents further high-level topics on discretizations and solvers.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cbr\u003eThe authors include over one hundred well-established definitions, theorems, corollaries, and lemmas, and summaries of and reference to in-depth treatments of more advanced mathematics when needed.\u003cbr\u003e\u003cbr\u003eAudience \u003cbr\u003e\u003cbr\u003eThis book is intended for advanced undergraduate\/first-year graduate and advanced graduate students in applied math, as well as students in science and engineering disciplines. It is also appropriate for researchers in the field of scientific computing.\u003cbr\u003e\u003cbr\u003eChapters are designed to be stand-alone, allowing distinct paths through the text, making it appropriate for both single-semester and multisemester courses. It is appropriate for courses on numerical methods for PDEs and numerical linear algebra.\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":56025240043894,"sku":"9781611978278","price":92.06,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/orig_35591026_fd038cbd-6e36-42e7-8a05-7cd18664e8c8.jpg?v=1754516616","url":"https:\/\/www.rarewaves.com\/products\/9781611978278-numerical-partial-differential-equations","provider":"Rarewaves.com","version":"1.0","type":"link"}