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Advanced Optimization and Operations Research

Price range: ₹4,994.00 through ₹6,912.00
Serves as a textbook for optimization and operations research Discusses topics like dynamic and fuzzy inventory models, infinite game, flow network and optimization of queuing problems Includes a number of solved problems and detailed examples in all chapters Is suitable for coursework and independent study Is fashioned for easy comprehension of the subject matter
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Advanced Optimization and Operations Research

Price range: ₹4,994.00 through ₹6,912.00
Serves as a textbook for optimization and operations research Discusses topics like dynamic and fuzzy inventory models, infinite game, flow network and optimization of queuing problems Includes a number of solved problems and detailed examples in all chapters Is suitable for coursework and independent study Is fashioned for easy comprehension of the subject matter
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Ergodic Optimization in the Expanding Case: Concepts, Tools and Applications

Original price was: ₹5,511.00.Current price is: ₹4,410.00.
This book focuses on the interpretation of ergodic optimal problems as questions of variational dynamics, employing a comparable approach to that of the Aubry-Mather theory for Lagrangian systems. Ergodic optimization is primarily concerned with the study of optimizing probability measures.
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Ergodic Optimization in the Expanding Case: Concepts, Tools and Applications

Original price was: ₹5,511.00.Current price is: ₹4,410.00.
This book focuses on the interpretation of ergodic optimal problems as questions of variational dynamics, employing a comparable approach to that of the Aubry-Mather theory for Lagrangian systems. Ergodic optimization is primarily concerned with the study of optimizing probability measures.
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Fixed Point Theory and Fractional Calculus: Recent Advances and Applications

Original price was: ₹13,852.00.Current price is: ₹11,082.00.
This book collects chapters on fixed-point theory and fractional calculus and their applications in science and engineering. It discusses state-of-the-art developments in these two areas through original new contributions from scientists across the world.
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Fixed Point Theory and Fractional Calculus: Recent Advances and Applications

Original price was: ₹13,852.00.Current price is: ₹11,082.00.
This book collects chapters on fixed-point theory and fractional calculus and their applications in science and engineering. It discusses state-of-the-art developments in these two areas through original new contributions from scientists across the world.
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Functional Analysis, Calculus of Variations and Optimal Control

Price range: ₹6,075.00 through ₹6,495.00
A self-contained in-depth introduction to functional analysis and the related fields of optimal control and the calculus of variations that is unique in its coverage Written in a lively and engaging style by a leading specialist Includes a short course on optimization and nonsmooth analysis Gives complete proofs of advanced versions of the Pontryagin maximum principle that appear for the first time in a textbook Contains hundreds of exercises of an original nature, with solutions or hints in many cases Includes supplementary material: sn.pub/extras
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Functional Analysis, Calculus of Variations and Optimal Control

Price range: ₹6,075.00 through ₹6,495.00
A self-contained in-depth introduction to functional analysis and the related fields of optimal control and the calculus of variations that is unique in its coverage Written in a lively and engaging style by a leading specialist Includes a short course on optimization and nonsmooth analysis Gives complete proofs of advanced versions of the Pontryagin maximum principle that appear for the first time in a textbook Contains hundreds of exercises of an original nature, with solutions or hints in many cases Includes supplementary material: sn.pub/extras
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Introduction to Continuous Optimization

Original price was: ₹13,851.00.Current price is: ₹11,082.00.
This self-contained monograph presents the reader with an authoritative view of Continuous Optimization, an area of mathematical optimization that has experienced major developments during the past 40 years. The book contains results which have not yet been covered in a systematic way as well as a summary of results on NR theory and methods developed over the last several decades. The readership is aimed to graduate students in applied mathematics, computer science, economics, as well as researchers working in optimization and those applying optimization methods for solving real life problems. Sufficient exercises throughout provide graduate students and instructors with practical utility in a two-semester course in Continuous Optimization.The topical coverage includes interior point methods, self-concordance theory and related complexity issues, first and second order methods with accelerated convergence, nonlinear rescaling (NR) theory and exterior point methods, just to mention a few. The book contains a unified approach to both interior and exterior point methods with emphasis of the crucial duality role. One of the main achievements of the book shows what makes the exterior point methods numerically attractive and why. The book is composed in five parts. The first part contains the basics of calculus, convex analysis, elements of unconstrained optimization, as well as classical results of linear and convex optimization. The second part contains the basics of self-concordance theory and interior point methods, including complexity results for LP, QP, and QP with quadratic constraint, semidefinite and conic programming. In the third part, the NR and Lagrangian transformation theories are considered and exterior point methods are described. Three important problems in finding equilibrium are considered in the fourth part. In the fifth and final part of the book, several important applications arising in economics, structural optimization, medicine, statistical learning theory, and more, are detailed. Numerical results, obtained by solving a number of real life and test problems, are also provided.
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Introduction to Continuous Optimization

Original price was: ₹13,851.00.Current price is: ₹11,082.00.
This self-contained monograph presents the reader with an authoritative view of Continuous Optimization, an area of mathematical optimization that has experienced major developments during the past 40 years. The book contains results which have not yet been covered in a systematic way as well as a summary of results on NR theory and methods developed over the last several decades. The readership is aimed to graduate students in applied mathematics, computer science, economics, as well as researchers working in optimization and those applying optimization methods for solving real life problems. Sufficient exercises throughout provide graduate students and instructors with practical utility in a two-semester course in Continuous Optimization.The topical coverage includes interior point methods, self-concordance theory and related complexity issues, first and second order methods with accelerated convergence, nonlinear rescaling (NR) theory and exterior point methods, just to mention a few. The book contains a unified approach to both interior and exterior point methods with emphasis of the crucial duality role. One of the main achievements of the book shows what makes the exterior point methods numerically attractive and why. The book is composed in five parts. The first part contains the basics of calculus, convex analysis, elements of unconstrained optimization, as well as classical results of linear and convex optimization. The second part contains the basics of self-concordance theory and interior point methods, including complexity results for LP, QP, and QP with quadratic constraint, semidefinite and conic programming. In the third part, the NR and Lagrangian transformation theories are considered and exterior point methods are described. Three important problems in finding equilibrium are considered in the fourth part. In the fifth and final part of the book, several important applications arising in economics, structural optimization, medicine, statistical learning theory, and more, are detailed. Numerical results, obtained by solving a number of real life and test problems, are also provided.
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Multi-Objective Optimization Problems: Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications

Original price was: ₹5,511.00.Current price is: ₹4,410.00.
Offers an starting point to key concepts related to multi-objective optimization problems Brings a rich variety of applications in Engineering and Mathematics Presents a new optimization strategy, the Self-Adpative Multi-objective Optimization Differential Evolution (SA-MODE) algorithm in which the parameters are dynamically updated during the evolutionary process Gives a broad perspective on different solving methods based on classical and modern approaches
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Multi-Objective Optimization Problems: Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications

Original price was: ₹5,511.00.Current price is: ₹4,410.00.
Offers an starting point to key concepts related to multi-objective optimization problems Brings a rich variety of applications in Engineering and Mathematics Presents a new optimization strategy, the Self-Adpative Multi-objective Optimization Differential Evolution (SA-MODE) algorithm in which the parameters are dynamically updated during the evolutionary process Gives a broad perspective on different solving methods based on classical and modern approaches
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Nonlinear Optimization: Methods and Applications

Price range: ₹5,244.00 through ₹7,329.00
Presents a broad range of nonlinear programming applications from a diverse mix of fields Includes an in-depth discussion of the main solution techniques Each method is formally described, and then fully solved using a numerical example
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Nonlinear Optimization: Methods and Applications

Price range: ₹5,244.00 through ₹7,329.00
Presents a broad range of nonlinear programming applications from a diverse mix of fields Includes an in-depth discussion of the main solution techniques Each method is formally described, and then fully solved using a numerical example
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Optimal Control Problems Arising in Mathematical Economics

Original price was: ₹13,852.00.Current price is: ₹11,082.00.
This book is devoted to the study of two large classes of discrete-time optimal control problems arising in mathematical economics. Nonautonomous optimal control problems of the first class are determined by a sequence of objective functions and sequence of constraint maps.
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Optimal Control Problems Arising in Mathematical Economics

Original price was: ₹13,852.00.Current price is: ₹11,082.00.
This book is devoted to the study of two large classes of discrete-time optimal control problems arising in mathematical economics. Nonautonomous optimal control problems of the first class are determined by a sequence of objective functions and sequence of constraint maps.
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Optimal Control Problems Related to the Robinson–Solow–Srinivasan Model

Price range: ₹7,329.00 through ₹10,248.00
This book is devoted to the study of classes of optimal control problems arising in economic growth theory, related to the Robinson–Solow–Srinivasan (RSS) model. The model was introduced in the 1960s by economists Joan Robinson, Robert Solow, and Thirukodikaval Nilakanta Srinivasan and was further studied by Robinson, Nobuo Okishio, and Joseph Stiglitz.
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Optimal Control Problems Related to the Robinson–Solow–Srinivasan Model

Price range: ₹7,329.00 through ₹10,248.00
This book is devoted to the study of classes of optimal control problems arising in economic growth theory, related to the Robinson–Solow–Srinivasan (RSS) model. The model was introduced in the 1960s by economists Joan Robinson, Robert Solow, and Thirukodikaval Nilakanta Srinivasan and was further studied by Robinson, Nobuo Okishio, and Joseph Stiglitz.
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