{"product_id":"tensor-eigenvalues-and-their-applications-practical-spectral-theory","title":"Tensor Eigenvalues and Their Applications - Practical Spectral Theory","description":"\u003cp\u003eIn this review of Tensor Eigenvalues and Their Applications the bottom line is straightforward: this book is for researchers and graduate students who need a focused introduction to recent spectral tensor theory and its applied reach. The text concentrates on how tensor eigenvalues drive results in multilinear systems, fitting exponential data, and complementarity problems. It reads like a technical review of methods and applications rather than a general textbook, so the single biggest reason to buy is the clear linkage between theory and concrete applied problems found in diffusion imaging, liquid crystals, piezoelectricity and quantum contexts.\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComprehensive coverage:\u003c\/strong\u003e Presents spectral tensor theory and shows how tensor eigenvalues apply across a range of applied problems, giving readers a coherent pathway from abstract concept to use case.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eApplied focus:\u003c\/strong\u003e Devotes chapters to multilinear systems and tensor complementarity problems, making it useful for those working on computational models that involve higher-order arrays.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eImaging and physics examples:\u003c\/strong\u003e Explores higher-order diffusion tensor imaging and quantum tensor applications, which help bridge mathematical theory and experimental data analysis.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecialized material:\u003c\/strong\u003e Examines third-order symmetric traceless tensors for liquid crystals and piezoelectric tensors, helping specialists see direct implications for material models.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGraduate-level reference:\u003c\/strong\u003e Functions as a concise reference for researchers and graduate students who need vetted results and application pointers rather than elementary introductions.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eWho It's For\u003c\/h2\u003e\n\u003cp\u003eThis book is best for applied mathematicians, computational scientists, and graduate students studying tensor analysis or working on problems where higher-order arrays appear. It particularly suits researchers seeking specific results in tensor eigenvalue theory and its role in complementarity problems, data fitting, and imaging.\u003c\/p\u003e\n\u003cp\u003eReaders looking for an elementary or introductory linear algebra text should look elsewhere; the presentation assumes familiarity with multilinear algebra and an interest in specialized applications rather than pedagogical hand-holding.\u003c\/p\u003e\n\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFocused treatment of \u003cstrong\u003etensor eigenvalues\u003c\/strong\u003e with direct application examples that make advanced theory usable.\u003c\/li\u003e\n\u003cli\u003eIncludes multiple application domains such as \u003cstrong\u003ediffusion tensor imaging\u003c\/strong\u003e and \u003cstrong\u003epiezoelectric tensors\u003c\/strong\u003e, giving broad practical relevance.\u003c\/li\u003e\n\u003cli\u003eServes as a concise reference for graduate-level work and research projects.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNot intended as an introductory textbook; readers without prior multilinear algebra background may find the material dense.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eTensor Eigenvalues and Their Applications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeries\u003c\/td\u003e\n\u003ctd\u003eAdvances in Mechanics and Mathematics, 39\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthors\u003c\/td\u003e\n\u003ctd\u003eLiqun Qi, Haibin Chen, Yannan Chen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eScope\u003c\/td\u003e\n\u003ctd\u003eSpectral tensor theory and applications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApplications covered\u003c\/td\u003e\n\u003ctd\u003eMultilinear systems, data fitting, complementarity problems, imaging, material tensors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudience\u003c\/td\u003e\n\u003ctd\u003eResearchers and graduate students in applied mathematics and related fields\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch2\u003eOur Verdict\u003c\/h2\u003e\n\u003cp\u003eTensor Eigenvalues and Their Applications is a compact, application-minded reference that links modern spectral tensor theory to real problems in imaging, materials, and physics. It is good value for researchers and advanced students who need targeted theoretical results and clear pointers to practical implementations, but not for readers seeking a gentle introduction.\u003c\/p\u003e\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eIs this book suitable for learning tensor basics?\u003c\/strong\u003e\u003cbr\u003eNo. The book assumes prior knowledge of multilinear algebra and focuses on spectral theory and applications rather than elementary instruction.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes it include practical examples in imaging?\u003c\/strong\u003e\u003cbr\u003eYes. The text discusses higher-order diffusion tensor imaging and connects tensor eigenvalues to image analysis problems.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWho are the authors and why are they relevant?\u003c\/strong\u003e\u003cbr\u003eThe authors Liqun Qi, Haibin Chen, and Yannan Chen are researchers who present recent developments in tensor spectral theory and its applied uses, making the book a credible specialist reference.\u003c\/p\u003e","brand":"Liqun Qi, Haibin Chen, Yannan Chen","offers":[{"title":"Default Title","offer_id":48235485757659,"sku":"9811340501","price":150.98,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/61woDrVEWSL._SL1254.jpg?v=1770661947","url":"https:\/\/gearmusthave.com\/products\/tensor-eigenvalues-and-their-applications-practical-spectral-theory","provider":"GearMustHave","version":"1.0","type":"link"}