Numerical Linear Algebra
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Numerical Linear Algebra
A concise, insightful introduction to the field of numerical linear algebra
Numerical Linear Algebra
Nº de artículo: 20219979

Numerical Linear Algebra

86% of respondents would recommend this to a friend

Nº de artículo: 20219979
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A concise, insightful introduction to the field of numerical linear algebra
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What Stands Out

Comprehensive Coverage
Delivers an in-depth exploration of numerical methods, addressing both theory and practical applications, ensuring students gain a complete understanding of linear algebra in numerical contexts.
Practical Examples
Includes real-world examples throughout the text, enabling students to see the application of concepts while enhancing learning and retention in real-life scenarios.
Student-Friendly Approach
Utilizes clear explanations and structured problem sets to accommodate different learning styles, making complex topics accessible and engaging for undergraduate and graduate students.

Detalles de producto

Discover the concise & insightful introduction to numerical linear algebra. Buy the popular textbook with fundamental ideas in numerical linear algebra at Ubuy Argentina.
  • An essential textbook for students studying numerical linear algebra
  • Provides a comprehensive introduction to the fundamental concepts and techniques
  • Includes practical examples and applications in various fields
  • Covers topics such as linear systems, eigenvalue problems, and matrix factorizations
  • Written by an expert in the field with extensive teaching experience
  • Suitable for undergraduate and graduate courses in numerical linear algebra
Publisher SIAM: Society for Industrial and Applied Mathematics
Publication date June 1, 1997
Edition 1st
Language English
Print length 184 pages
ISBN-10 0898713617
ISBN-13 978-0898713619
Item Weight 1.41 pounds (640 grams)
Dimensions 7 x 0.75 x 10 inches (17.8 x 1.9 x 25.4 cm)

Who Should Buy?

Suitable For
  • Graduate Students

    Ideal for graduate students studying mathematics, engineering, or computer science specializing in numerical methods and linear algebra.

  • Research Professionals

    Beneficial for researchers needing advanced numerical techniques to solve complex problems in various scientific fields.

  • Educators and Instructors

    Suitable for educators teaching numerical linear algebra, providing comprehensive insights and examples to enhance students' understanding.

Not Suitable For
  • Beginner Learners

    Not suitable for beginners with no prior understanding of linear algebra concepts, as it may be too advanced.

DESCRIPCIÓN DEL PRODUCTO

Numerical Linear Algebra

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Preguntas y respuestas de los clientes

  • Pregunta: What is included in the Numerical Linear Algebra 1st Edition book?

    Respuesta: The Numerical Linear Algebra 1st Edition provides a thorough exploration of fundamental principles of numerical methods applied to linear algebra. It covers essential topics such as matrix factorizations, eigenvalue problems, and iterative methods. Additionally, it includes practical examples and exercises that enhance understanding. This edition is suitable for students and professionals dealing with computational mathematics as it emphasizes concepts over mere procedures, ensuring a deeper grasp of the subject.
  • Pregunta: Who is the target audience for Numerical Linear Algebra?

    Respuesta: This book is primarily aimed at graduate students and professionals in fields like mathematics, engineering, computer science, and physics. It serves as an excellent resource for those who want to understand both the theoretical foundations and practical applications of numerical linear algebra. Moreover, researchers seeking to implement numerical algorithms in their work will find this book particularly beneficial.
  • Pregunta: How does Numerical Linear Algebra differ from traditional linear algebra?

    Respuesta: Numerical Linear Algebra focuses on computational techniques for solving linear algebra problems, while traditional linear algebra emphasizes theoretical concepts and analytical methods. This book bridges the gap between theory and practice, equipping readers with the algorithmic knowledge needed to handle large-scale systems efficiently. Readers will appreciate how the text applies core linear algebra principles to modern computational challenges.
  • Pregunta: Are there any practical applications mentioned in the Numerical Linear Algebra book?

    Respuesta: Yes, the book offers various examples that illustrate real-world applications of numerical linear algebra techniques. It includes case studies from engineering simulations, data analysis, and machine learning, demonstrating how numerical methods are vital in processing large data sets and solving complex equations efficiently. These applications help readers see the relevance of the material in contemporary computational practices.
  • Pregunta: What kind of software or tools are recommended for practicing the methods in the book?

    Respuesta: The authors suggest using programming languages and software that specialize in numerical computations such as MATLAB, Python with NumPy, or R. Each method explained within the book is designed to be implemented easily within these platforms. This is beneficial for learners who wish to go beyond theoretical study and engage in hands-on practice with numerical methods.
  • Pregunta: Is there any focus on performance optimization in Numerical Linear Algebra 1st Edition?

    Respuesta: Absolutely! The text emphasizes efficient algorithms and optimization techniques for numerical computations. It explores the importance of numerical stability and performance in the context of large data sets, preparing readers to tackle real-world challenges. Understanding these concepts is crucial for anyone looking to enhance algorithm performance, particularly in scientific computing or data-heavy industries.
  • Pregunta: Can Numerical Linear Algebra be used for self-study?

    Respuesta: Yes, the book is structured in a way that is conducive to self-study. Each chapter includes problem sets that reinforce key concepts, allowing learners to engage actively with the material. Moreover, the comprehensive explanations of algorithms and methodologies make it accessible to individuals who may not have formal coursework in numerical methods, making it a valuable addition to personal libraries.
  • Pregunta: Does the book cover advanced topics in numerical linear algebra?

    Respuesta: Yes, the Numerical Linear Algebra 1st Edition goes beyond the basics, delving into advanced topics such as singular value decomposition, Krylov subspace methods, and preconditioning. This in-depth exploration prepares readers for graduate-level understanding and application in specific fields, making it suitable for those looking to progress their education or research in numerical methods.
  • Pregunta: Are there any prerequisites for understanding the content of this book?

    Respuesta: It is advisable to have a foundational knowledge of linear algebra and basic calculus to fully grasp the content of Numerical Linear Algebra 1st Edition. Familiarity with mathematical proofs and programming concepts can also be beneficial, as some of the methods require computational implementation. This background will enable readers to engage more effectively with the algorithms and their applications discussed in the text.
  • Pregunta: Where can I buy Numerical Linear Algebra 1st Edition in Argentina?

    Respuesta: You can purchase Numerical Linear Algebra 1st Edition from Ubuy, a reliable e-commerce platform that provides a wide selection of books and academic materials tailored for various countries. Ubuy offers a seamless shopping experience, making it easy to find and obtain this essential resource for any student or professional interested in numerical methods.

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características y beneficios

  • Clarity and eloquence of presentation makes it popular with teachers and students alike
  • Expands reader's view of the field and presents standard material in a novel way
  • Covers all important topics in the field with fresh perspectives
  • Presentation is in the form of 40 lectures with no risk of getting lost in details and technicalities
  • Begins with QR factorization, an important and fresh idea for students
  • Emphasizes unity between topics throughout the book

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