{"product_id":"mixed-integer-nonlinear-programming-practical-minlp","title":"Mixed Integer Nonlinear Programming - Practical MINLP","description":"\u003cp\u003eIn this review of Mixed Integer Nonlinear Programming (The IMA Volumes in Mathematics and its Applications, 154) the bottom line is clear: this is a rigorous, academically focused resource for researchers and advanced practitioners who need a deep treatment of mixed-integer nonlinear models. The book is best for those who already understand optimization theory and want a collected, methodical reference on the numerical and modeling challenges of MINLP problems. Its biggest asset is the concentrated, scholarly discussion of why discrete variables and nonconvex nonlinearities make many real-world problems hard to solve.\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComprehensive scope:\u003c\/strong\u003e Presents a broad perspective on MINLP, explaining both modeling flexibility and the practical limits of solvability for nonconvex problems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTheoretical depth:\u003c\/strong\u003e Offers rigorous discussion of numerical difficulties that arise when nonlinear functions and discrete choices interact, useful for developing algorithms and proofs.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eApplied focus:\u003c\/strong\u003e Addresses applications in engineering and operations where MINLP formulations capture realistic decision trade-offs and constraints.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReference-quality compilation:\u003c\/strong\u003e Serves as a collected volume for researchers who need a dependable source of background, definitions, and problem context for MINLP.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProblem emphasis:\u003c\/strong\u003e Highlights how nonconvexity and discreteness influence feasible and optimal solution sets, guiding pragmatic expectations for solvability.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eWho It's For\u003c\/h2\u003e\n\u003cp\u003eThis volume is ideal for graduate students, researchers in optimization, and applied scientists-such as chemical and mechanical engineers-who require a formal understanding of mixed-integer nonlinear programming and its challenges. It is most valuable when read alongside hands-on solvers or in the context of method development rather than as a step-by-step practitioner manual.\u003c\/p\u003e\n\u003cp\u003eLess appropriate for beginners or readers seeking introductory tutorials, quick recipes, or user guides for specific software; those audiences should look for textbooks or manuals focused on teaching fundamentals and solver usage.\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\u003eWell-organized scholarly treatment that clarifies why MINLP can be intractable in general.\u003c\/li\u003e\n\u003cli\u003eUseful for researchers developing algorithms or proofs thanks to its theoretical focus.\u003c\/li\u003e\n\u003cli\u003eRelevant application context for engineers and operations researchers seeking models that mix discrete and continuous decisions.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNot a how-to manual for beginners or those seeking hands-on solver guidance.\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\u003eMixed Integer Nonlinear Programming (IMA Volumes in Mathematics and its Applications, 154)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthors\u003c\/td\u003e\n\u003ctd\u003eJon Lee, Sven Leyffer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeries\u003c\/td\u003e\n\u003ctd\u003eThe IMA Volumes in Mathematics and its Applications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSubject\u003c\/td\u003e\n\u003ctd\u003eMixed-integer nonlinear programming; optimization theory and applications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudience\u003c\/td\u003e\n\u003ctd\u003eResearchers, graduate students, applied scientists\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocus\u003c\/td\u003e\n\u003ctd\u003eNumerical difficulties, nonconvexity, discrete and continuous decision variables\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch2\u003eOur Verdict\u003c\/h2\u003e\n\u003cp\u003eFor specialists who need a focused, theoretical resource on MINLP, this volume delivers depth and useful context on why many real-world problems resist general solution. It represents solid value as a reference text for researchers and applied mathematicians, though it is not intended as a beginner tutorial or a step-by-step solver guide.\u003c\/p\u003e\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eIs this book suitable for beginners?\u003c\/strong\u003e\u003cbr\u003eAnswer. It assumes background in optimization and is best for readers with prior graduate-level exposure rather than complete beginners.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes it cover applications?\u003c\/strong\u003e\u003cbr\u003eAnswer. Yes; it discusses applications in engineering and operations to illustrate modeling challenges where MINLP is used.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWill it teach solver use?\u003c\/strong\u003e\u003cbr\u003eAnswer. No; the emphasis is theoretical and conceptual rather than providing step-by-step instructions for specific solvers.\u003c\/p\u003e","brand":"Jon Lee, Sven Leyffer","offers":[{"title":"Default Title","offer_id":48175368143067,"sku":"1493902210","price":195.05,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/51sYhwSHVlL._SL1246.jpg?v=1769481164","url":"https:\/\/gearmusthave.com\/products\/mixed-integer-nonlinear-programming-practical-minlp","provider":"GearMustHave","version":"1.0","type":"link"}