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“Tensors” is a book category devoted to the theory, computation, and applications of tensors—multidimensional generalizations of vectors and matrices—across mathematics, science, and engineering. It spans accessible introductions to multilinear algebra, tensor algebra, and tensor calculus; advanced treatments of differential geometry, tensor networks, and numerical methods; and practical guides to computation. Applications covered include physics (mechanics, electromagnetism, general relativity), data science and machine learning (deep learning, computer vision, NLP), and engineering and imaging (signal processing, materials, MRI/DTI). The category features textbooks, problem books, handbooks, and software-oriented resources using tools like NumPy, PyTorch, and TensorFlow, serving students, researchers, and practitioners working with high-dimensional data and geometric models.

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