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Tensor - Wikipedia

An elementary example of a mapping describable as a tensor is the dot product, which maps two vectors to a scalar.A more complex example is the Cauchy stress tensor T, which takes a directional unit vector v as input and maps it to the stress vector T (v), which is the force (per unit area) exerted by material on the negative side of the plane orthogonal to v against the material on the ...

Tensor -- from Wolfram MathWorld

Tensor. An th-rank tensor in -dimensional space is a mathematical object that has indices and components and obeys certain transformation rules. Each index of a tensor ranges over the number of dimensions of space.

Tensor Definition & Meaning - Merriam-Webster

The meaning of tensor is a muscle that stretches a part. 2: a generalized vector with more than three components each of which is a function of the coordinates of an arbitrary point in space of an appropriate number of dimensions

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Introduction to Tensors | TensorFlow Core

The simplest and most common case is when you attempt to multiply or add a tensor to a scalar. In that case, the scalar is broadcast to be the same shape as the other argument. x = tf.constant( [1, 2, 3]) y = tf.constant(2) z = tf.constant( [2, 2, 2]) # All of these are the same computation.

An Introduction to Tensors for Students of Physics and ...

Tensor analysis is the type of subject that can make even the best of students shudder. My own post-graduate instructor in the subject took away much of the fear by speaking of an implicit rhythm in the peculiar notation traditionally used, and helped me to see how this rhythm plays its way throughout the various formalisms.

What Is a Tensor? | 365 Data Science

Now, a tensor is the most general concept. Scalars, vectors, and matrices are all tensors of ranks 0, 1, and 2, respectively. Tensors are simply a generalization of the concepts we have seen so far. An object we haven’t seen is a tensor of rank 3. Its dimensions could be signified by k,m, and n, making it a KxMxN object.

Tensors - W3Schools

Tensor Ranks. The number of directions a tensor can have in a N -dimensional space, is called the Rank of the tensor. The rank is denoted R. A Scalar is a single number. R = 0. It has 0 Axes. It has a Rank of 0. It is a 0-dimensional Tensor. A Vector is an array of numbers.