Title
Variational Methods in Optimization (Dover Books on Mathematics),New
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Fostering an increased appreciation of the fundamental theorem of calculus, this highly readable text elucidates applications of the chain rule of differentiation, integration by parts, parametric curves, line integrals, double integrals, and elementary differential equations. A clear and wellillustrated treatment of techniques for solving a wide variety of optimization problems arising in a diverse array of fields, this volume requires only an elementary knowledge of calculus and can be used either by itself or as a supplementary text in a variety of courses. 1974 edition.
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- Q: What is the main focus of 'Variational Methods in Optimization'? A: The book primarily focuses on elucidating applications of variational methods and optimization techniques in various fields, fostering a deeper understanding of calculus and optimization problems.
- Q: Who is the author of this book? A: The author of 'Variational Methods in Optimization' is Donald R. Smith.
- Q: What is the publication date of the book? A: The book was published on June 19, 1998.
- Q: Is prior knowledge of calculus required to understand this book? A: The book requires only an elementary knowledge of calculus, making it accessible for readers with basic calculus background.
- Q: How many pages does the book contain? A: The book has a total of 394 pages.
- Q: What type of binding does this book have? A: This edition of the book is available in paperback binding.
- Q: What is the condition of the book? A: The item is in new condition.
- Q: Can this book be used as a supplementary text? A: Yes, it can be used as a supplementary text in various courses that cover optimization and calculus.
- Q: What edition is this book? A: This is the revised edition of 'Variational Methods in Optimization'.
- Q: What topics are covered in this book? A: The book covers topics such as the chain rule of differentiation, integration by parts, parametric curves, line integrals, double integrals, and elementary differential equations.