Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science ... Computational Mathematics, Series Number 3)
товар №: 95573761

Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science

товар №: 95573761

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What Stands Out

Comprehensive Coverage
This edition extensively covers evolving interfaces across multiple disciplines, making complex concepts accessible to researchers and practitioners in computational geometry, fluid mechanics, computer vision, and materials science.
Updated Techniques
Incorporates the latest advances in level set and fast marching methods, providing readers with cutting-edge approaches to interface evolution, enhancing both theoretical understanding and practical application.
Educational Resource
Serves as both a textbook and reference, supporting students and professionals alike with clear explanations, illustrative examples, and exercises that enrich learning in computational mathematics.

Информация о продукте

Shop Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science ... Computational Mathematics, Series Number 3) online at a best price in Kyrgyzstan. 0521645573
Publisher Cambridge University Press
Publication date June 13, 1999
Edition 2nd
Language English
Print length 404 pages
ISBN-10 0521645573
ISBN-13 978-0521645577
Item Weight 1.16 pounds (530 grams)
Dimensions 6 x 1.01 x 9 inches (15.2 x 2.6 x 22.9 cm)

Who Should Buy?

Suitable For
  • Researchers

    Ideal for researchers exploring evolving interfaces in computational geometry and fluid mechanics, providing advanced mathematical frameworks.

  • Graduate Students

    Beneficial for graduate students studying PDEs or numerical methods, aiding in deeper understanding of interface evolution methods.

  • Practitioners

    Useful for practitioners in computer vision and materials science looking for practical applications of level set methods.

Not Suitable For
  • Beginners

    Not suitable for beginners lacking prior knowledge of mathematical methods and computational techniques in relevant fields.

ОПИСАНИЕ ТОВАРА

Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science ... Computational Mathematics, Series Number 3)

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Calculus Editorial Review

"Level Set Methods and Fast Marching Methods" serves as a substantial reference for professionals working in fields such as computational geometry, fluid mechanics, computer vision, and materials science. This book, authored by one of the pioneers of the level set methodology, is lauded for its thorough coverage of concepts relevant to advanced image analysis, particularly in image segmentation. However, it is important to note that the text is heavy on formulas and may not serve as a comprehensive tutorial for newcomers to the subject. Readers familiar with implementing such methodologies will find it particularly beneficial, while those looking for foundational understanding may need to seek additional resources. The readability of the book stimulates engagement, and the first few chapters are recognized for their insightful explanations. Nevertheless, reviewers highlighted a variety of shortcomings, notably the presence of multiple typos and a lack of detailed guidance in later chapters, particularly from chapter five onward. The book fails to present a self-contained approach, with users expressing a desire for more examples and deeper insights, especially when traversing complex topics such as etching and deposition. Overall, while the book is appreciated as a solid overview of level set methods, it requires a prerequisite understanding and supplemental learning materials for those who want to effectively apply the techniques discussed.

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Плюсы

  • Strong reference for advanced professionals in relevant fields.
  • Engaging writing style and comprehensive initial chapters.
  • Useful for image analysis, particularly image segmentation.

Минусы

  • Heavy on formulas; not beginner-friendly.

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