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Sinopsis
Optimization is a foundational topic in mathematics, underpinning nearly all of our modern industrial and technological world. Assuming only basic knowledge of linear algebra and calculus, this book provides a rapid, yet thorough, overview of applied mathematical optimization for advanced undergraduates, beginning graduate students, or practitioners in engineering and science. The text opens with an 'Optimization Bootcamp', introducing methods at a beginning level, before progressing to deep-dives into advanced topics and research-ready methods. The focus throughout is on modern applications of machine learning, inverse problems, and control. Rich pedagogy includes Python code with simple working examples and advanced case studies. Every section is accompanied by YouTube lectures to encourage interaction with the material. Using intuitive explanations, this book makes the material as simple and interesting as possible, while still having the depth, breadth and precision required to empower use in research and real-world applications.
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Acerca del autor
Steven L. Brunton is the Boeing AI and Data-Driven Engineering Professor of Mechanical Engineering at the University of Washington, where he is the Director of the AI Center for Dynamics and Control and the Associate Director for the NSF AI Institute in Dynamic Systems. His research has been recognized with awards including the Presidential Early Career Award for Scientists and Engineers. Steve is also passionate about teaching math to engineers as an author of five textbooks and through his popular YouTube channel, 'eigensteve'.
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Optimization (Hardcover)
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Cambridge University Press, Cambridge, 2026
ISBN 10: 1009755862
ISBN 13: 9781009755863
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Hardcover. Condición: new. Hardcover. Optimization is a foundational topic in mathematics, underpinning nearly all of our modern industrial and technological world. Assuming only basic knowledge of linear algebra and calculus, this book provides a rapid, yet thorough, overview of applied mathematical optimization for advanced undergraduates, beginning graduate students, or practitioners in science and engineering. The text opens with an Optimization Bootcamp, introducing methods at a beginning level, before progressing to deep-dives into advanced topics and research-ready methods. The focus throughout is on modern applications of machine learning, inverse problems, and control. Rich pedagogy includes Python code with simple working examples and advanced case studies. Every section is accompanied by YouTube lectures to encourage interaction with the material. Using intuitive explanations, this book makes the material as simple and interesting as possible, while still having the depth, breadth and precision required to empower use in research and real-world applications. Optimization is a foundational field of engineering applied math, underpinning nearly all modern industry and technology. This book provides an integrated applied and mathematical viewpoint to bring optimization to engineers and scientists, focusing on modern applications. Online supplements include Python code examples and video lectures. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781009755863
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Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control
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Cambridge University Press, 2026
ISBN 10: 1009755862
ISBN 13: 9781009755863
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Optimization
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Cambridge University Press, GB, 2026
ISBN 10: 1009755862
ISBN 13: 9781009755863
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Hardback. Condición: New. Optimization is a foundational topic in mathematics, underpinning nearly all of our modern industrial and technological world. Assuming only basic knowledge of linear algebra and calculus, this book provides a rapid, yet thorough, overview of applied mathematical optimization for advanced undergraduates, beginning graduate students, or practitioners in science and engineering. The text opens with an "Optimization Bootcamp", introducing methods at a beginning level, before progressing to deep-dives into advanced topics and research-ready methods. The focus throughout is on modern applications of machine learning, inverse problems, and control. Rich pedagogy includes Python code with simple working examples and advanced case studies. Every section is accompanied by YouTube lectures to encourage interaction with the material. Using intuitive explanations, this book makes the material as simple and interesting as possible, while still having the depth, breadth and precision required to empower use in research and real-world applications. Nº de ref. del artículo: LU-9781009755863
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Optimization
Publicado por
Cambridge University Press, GB, 2026
ISBN 10: 1009755862
ISBN 13: 9781009755863
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Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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Hardback. Condición: New. Optimization is a foundational topic in mathematics, underpinning nearly all of our modern industrial and technological world. Assuming only basic knowledge of linear algebra and calculus, this book provides a rapid, yet thorough, overview of applied mathematical optimization for advanced undergraduates, beginning graduate students, or practitioners in science and engineering. The text opens with an "Optimization Bootcamp", introducing methods at a beginning level, before progressing to deep-dives into advanced topics and research-ready methods. The focus throughout is on modern applications of machine learning, inverse problems, and control. Rich pedagogy includes Python code with simple working examples and advanced case studies. Every section is accompanied by YouTube lectures to encourage interaction with the material. Using intuitive explanations, this book makes the material as simple and interesting as possible, while still having the depth, breadth and precision required to empower use in research and real-world applications. Nº de ref. del artículo: LU-9781009755863
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Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control
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Cambridge University Press, 2026
ISBN 10: 1009755862
ISBN 13: 9781009755863
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Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control
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Cambridge University Press, 2026
ISBN 10: 1009755862
ISBN 13: 9781009755863
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Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control
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ISBN 13: 9781009755863
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Optimization: A Bootcamp For Machine Learning, Inverse Problems, And Control
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ISBN 13: 9781009755863
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Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control
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Cambridge University Press, 2026
ISBN 10: 1009755862
ISBN 13: 9781009755863
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Optimization (Hardcover)
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Cambridge University Press, Cambridge, 2026
ISBN 10: 1009755862
ISBN 13: 9781009755863
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Hardcover. Condición: new. Hardcover. Optimization is a foundational topic in mathematics, underpinning nearly all of our modern industrial and technological world. Assuming only basic knowledge of linear algebra and calculus, this book provides a rapid, yet thorough, overview of applied mathematical optimization for advanced undergraduates, beginning graduate students, or practitioners in science and engineering. The text opens with an Optimization Bootcamp, introducing methods at a beginning level, before progressing to deep-dives into advanced topics and research-ready methods. The focus throughout is on modern applications of machine learning, inverse problems, and control. Rich pedagogy includes Python code with simple working examples and advanced case studies. Every section is accompanied by YouTube lectures to encourage interaction with the material. Using intuitive explanations, this book makes the material as simple and interesting as possible, while still having the depth, breadth and precision required to empower use in research and real-world applications. Optimization is a foundational field of engineering applied math, underpinning nearly all modern industry and technology. This book provides an integrated applied and mathematical viewpoint to bring optimization to engineers and scientists, focusing on modern applications. Online supplements include Python code examples and video lectures. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9781009755863
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