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Introduction to Linear Algebra (Gilbert Strang, 5)
XOF 76549
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Linear Algebra is as important as Calculus for people working in quantitative fields of all kinds
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O que se Destaca
Detalhes do produto
- Linear algebra is now essential for engineers, scientists, economists, and business professionals
- Taught by Gilbert Strang, renowned for over 50 years at MIT
- Covers classical topics such as linear equations, fundamental subspaces, eigenvalues, and singular values
- Emphasizes independent columns, rank, column space of a matrix early on
- Includes optimization and learning from data, reflecting modern applications of linear algebra
- Presented in Professor Strang's clear and engaging style
| Publisher | Wellesley-Cambridge Press |
| Publication date | January 26, 2023 |
| Edition | 6th |
| Language | English |
| Print length | 440 pages |
| ISBN-10 | 1733146679 |
| ISBN-13 | 978-1733146678 |
| Item Weight | 2.01 pounds (910 grams) |
| Dimensions | 7.25 x 1 x 9.25 inches (18.4 x 2.5 x 23.5 cm) |
Quem Deverá Comprar?
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Undergraduate Students
Ideal for students majoring in mathematics, engineering, or fields requiring a strong foundation in linear algebra concepts.
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Self-learners
Great for individuals looking to independently learn linear algebra with clear explanations and practice exercises.
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Educators
Useful for teachers seeking a comprehensive resource to structure their linear algebra curriculum and assignments.
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Complete Beginners
Not ideal for those without any prior exposure to mathematics, as it assumes basic mathematical knowledge.
DESCRIÇÃO DO PRODUTO
Introduction to Linear Algebra (Gilbert Strang, 5)
Perguntas e Respostas dos Clientes
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Pergunta:
What is the main focus of 'Introduction to Linear Algebra' by Gilbert Strang?
Resposta: The primary focus of 'Introduction to Linear Algebra' by Gilbert Strang is to provide a solid foundation in linear algebra concepts, emphasizing their applications and theoretical understanding. The book covers topics such as vectors, matrices, determinants, eigenvalues, and linear transformations. Through clear explanations and practical examples, Strang illustrates how linear algebra is essential in fields like engineering, physics, computer science, and economics, making it a critical resource for students and professionals alike. -
Pergunta:
Who is the target audience for this textbook?
Resposta: 'Introduction to Linear Algebra' is tailored for undergraduate students, particularly those studying mathematics, engineering, physics, and computer science. However, it is also suitable for graduate students who need a solid grasp of linear algebra before advancing to more specialized topics. The text's approachable style and comprehensive coverage make it valuable for anyone seeking to understand the core principles of linear algebra, catering to both beginners and those looking to refresh their knowledge. -
Pergunta:
How does this edition differ from previous ones?
Resposta: The 6th edition of 'Introduction to Linear Algebra' includes updated content, improved problems, and enhanced clarity in explanations compared to previous editions. This version features additional exercises and real-world applications, ensuring that readers can see the relevance of linear algebra in various disciplines. The integration of technology and software tools also provides a modern approach to problem-solving, making it easier for students to engage with the material and apply their learning in practical situations. -
Pergunta:
What teaching methodologies does Gilbert Strang use in the book?
Resposta: Gilbert Strang employs various teaching methodologies, including a clear narrative style, visual aids, and practical examples that encourage learning through discovery. His approach focuses on conceptual understanding rather than mere memorization, prompting readers to explore the 'why' behind linear algebra concepts. This pedagogical strategy includes a mix of theoretical discussions and practical exercises, allowing readers to actively engage with the material and apply what they've learned to solve real-world problems. -
Pergunta:
Are there supplementary resources available for this textbook?
Resposta: Yes, 'Introduction to Linear Algebra' is accompanied by a range of supplementary resources to enhance the learning experience. These include online video lectures by Gilbert Strang himself, which provide additional explanations of key concepts and problem-solving strategies. Additionally, many educational platforms offer problem sets, solutions, and collaborative tools for students studying the material. These resources are perfect for those who want a more interactive and supportive learning environment, reinforcing the material covered in the book. -
Pergunta:
How can I apply the knowledge from this book in real life?
Resposta: The knowledge gained from 'Introduction to Linear Algebra' can be applied in several real-world scenarios, particularly in data science, machine learning, computer graphics, and engineering. For instance, understanding matrix operations is critical for analyzing data sets in data science. Similarly, linear transformation concepts are vital in computer graphics for rendering images and animations. Thus, the practical applications of linear algebra are vast, empowering readers to leverage their skills in various technical fields. -
Pergunta:
What mathematical background is required to understand this book?
Resposta: While 'Introduction to Linear Algebra' is designed to be accessible, some familiarity with basic algebra and calculus is beneficial for readers. A solid understanding of mathematical operations, functions, and equations will help students grasp the more advanced linear algebra concepts presented in the book. However, Strang's clear explanations and structured approach make it possible for motivated learners with minimal background in linear algebra to follow along and succeed in understanding the material. -
Pergunta:
Can this book be used for self-study?
Resposta: Absolutely! 'Introduction to Linear Algebra' is well-suited for self-study, as it includes clear explanations, a variety of practice problems, and structured chapters that guide learners through the material step-by-step. Students can easily work through each chapter at their own pace, using the problems provided to reinforce their understanding. Additionally, the availability of online lectures and supplementary materials enhances the self-learning experience, ensuring that motivated individuals can successfully grasp linear algebra concepts without formal instruction. -
Pergunta:
Is there an emphasis on applications of linear algebra in this edition?
Resposta: Yes, this edition places a strong emphasis on the applications of linear algebra across various fields. Gilbert Strang illustrates how linear algebra is integral to solving practical problems in engineering, computer science, and statistics, among others. By focusing on real-world applications, readers can better appreciate the importance of linear algebra concepts, ensuring they can see the relevance of what they are learning and how it can be applied in their future careers. -
Pergunta:
Where can I buy 'Introduction to Linear Algebra Gilbert Strang, 6th Edition'?
Resposta: You can purchase 'Introduction to Linear Algebra' by Gilbert Strang, 6th Edition on Ubuy in Guinea-Bissau. Ubuy offers a convenient platform for acquiring this textbook, ensuring a smooth purchasing experience with various options available to meet your needs. Whether for personal study or academic requirements, Ubuy provides you with the access you need to this essential resource.
Algebra Editorial Review
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Recursos e benefícios
- Linear Algebra now as important as Calculus for quantitative field workers
- MIT Professor Gilbert Strang has over 50 yrs. experience in teaching Linear Algebra
- Introduction to Linear Algebra Introduces Independent columns and rank early on
- Topics such as optimization and learning from data discussed in sixth edition
- Concepts are expressed using key factorization and clear language by Professor Gilbert Strang
- Book is sure to inspire and delight the next generation of learners.
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