Mathematical tools for real-world applications : a gentle introduction for students and practitioners / Alexandr Draganov

By: Draganov, AlexandrCall number: 510 D759M 2022 Material type: BookBookPublisher: Cambridge, Massachusetts : The MIT Press, 2022Description: xxvi, 280 p. : ill.; 23 cmISBN: 9780262543965 :Subject(s): Mathematics | Problem solving -- Mathematical modelsDDC classification: 510 D759M 2022 Online resources: ดูปกและสารบัญ (see cover and contents) Summary: Many young graduates leave school with a solid knowledge of mathematical concepts but struggle to apply these concepts in practice. Real scientific and engineering problems are different from those found in textbooks: they are messier, take longer to solve, and standard solution recipes might not apply. This book fills the gap between what is taught in the typical college curriculum and what a practicing engineer or scientist needs to know. It presents six powerful tools for analysis, research, and problem-solving in the real world: dimensional analysis, limiting cases, symmetry, scaling, making order of magnitude estimates, and the method of successive approximations.
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Item type Current library Collection Call number Copy number Status Date due Barcode
General Books General Books สำนักวิทยบริการ (Center)
ชั้น 7 หนังสือทั่วไปภาษาอังกฤษ 000-900
Non-fiction 510 D759M 2022 (Browse shelf(Opens below)) 1 Available 3000033592

Includes bibliographical references and indexes.

Many young graduates leave school with a solid knowledge of mathematical concepts but struggle to apply these concepts in practice. Real scientific and engineering problems are different from those found in textbooks: they are messier, take longer to solve, and standard solution recipes might not apply. This book fills the gap between what is taught in the typical college curriculum and what a practicing engineer or scientist needs to know. It presents six powerful tools for analysis, research, and problem-solving in the real world: dimensional analysis, limiting cases, symmetry, scaling, making order of magnitude estimates, and the method of successive approximations.

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