Tensor Analysis Essentials
Master the Mathematics of Multidimensional Data and Linear Transformations
You'll advance from solid linear algebra foundations to mastery of tensor analysis, the mathematical framework that powers modern physics, machine learning, and engineering. This book bridges the gap between classical linear algebra and advanced tensor mathematics through clear explanations, intuitive examples, and practical applications. You'll learn how tensors generalize vectors and matrices, master index notation and Einstein summation convention, and understand coordinate transformations that underpin differential geometry. Each concept builds systematically, from basic tensor operations to sophisticated applications in real-world problems. Whether you're preparing for advanced mathematics, physics, or machine learning work, this guide provides the conceptual clarity and technical depth you need to work confidently with multidimensional data structures and complex mathematical transformations.
Est. Length
207 pages (9 chapters)
Language
English
Publication date
Jan 22, 2026
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