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115837454
Linear Algebra: An Easy Way to Learn Key Concepts
88% of respondents would recommend this to a friend
Item #:
115837454
FJD 59
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This book offers a clear and concise introduction to its key concepts, without getting into the weeds of the subject.
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- Linear algebra has broad application in physics, business, data science, and engineering. This book offers a clear and concise introduction to its key concepts, without getting into the weeds of the subject. The emphasis is on understanding what linear algebra is about and how matrices and vectors work. Here's what makes this book accessible:Visual Learning: Numerous figures illustrate mathematical equations.Focus on Clarity: Complicated ideas are broken down into smaller, intuitively clear parts.Smooth Reading Flow: Lengthy derivations are placed in appendices to maintain a clear narrative.No prerequisites are assumed beyond high school level math. The book starts by discussing linear operators, vectors, and a visual understanding of what an operator can do when applied to a vector. Then the book proceeds to the standard linear algebra material: matrices, solving linear equations, eigenvectors, and more. One chapter is dedicated to a discussion of several major linear algebra applications; in addition, references to many other applications are scattered throughout the text.
| Publisher | Alexandr Draganov |
| Publication date | February 6, 2025 |
| Language | English |
| Print length | 186 pages |
| ISBN-13 | 979-8218589769 |
| Item Weight | 15 ounces (425.25 grams) |
| Dimensions | 7 x 0.42 x 10 inches (17.8 x 1.1 x 25.4 cm) |
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Linear Algebra: An Easy Way to Learn Key Concepts
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Features & Benefits
- Comprehensive introduction to linear algebra concepts.
- Visual aids enhance understanding of mathematical equations.
- Complex ideas simplified for intuitive learning.
- Maintains narrative clarity by placing lengthy derivations in appendices.
- No prerequisites beyond high school math required.
- Explores applications in various fields like physics, business, and data science.
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