How To Use inner product In A Sentence
- The oil is transformed through a process called transesterification, which removes glycerine and adds methanol, leaving a thinner product that can power a diesel engine. WTOP / Business / Biz Stories
- Now definition of the inner product of | A and | B for complex spaces can be given in terms of the conjugates of complex coefficients as follows. Quantum Mechanics
- The point is that light-like vectors, yes, have a squared-length of zero, but they are not degeneracies in the form, because there are other vectors that give nonzero inner products with them. Bad Language: Metric vs Metric Tensor vs Matrix Form vs Line Element
- The point is that light-like vectors, yes, have a squared-length of zero, but they are not degeneracies in the form, because there are other vectors that give nonzero inner products with them. Bad Language: Metric vs Metric Tensor vs Matrix Form vs Line Element
- In the DA-based implementation, the lookup table (LUT) stores all possible values of inner product of the fixed coefficients and the input bit vector.
- A familiar Riemannian manifold is a Euclidean manifold (where one has to add a smoothly varying inner product on the tangent space of the standard Euclidean space), with the familiar Euclidean (distance) metric (our 3-space, for example). Bad Language: Metric vs Metric Tensor vs Matrix Form vs Line Element
- In addition to already popular quick dry inner products, the company has been supplementing its lineup of polo shirts and chino slacks in anticipation of strong demand associated with the government-led "Super Cool Biz" campaign. Uniqlo Says Rebound Will Come
- Some informal background: a Riemannian manifold is a differentiable manifold (where the tangent space at each point has an inner product) with a positive-definite metric tensor, d (x, y) ≥ 0. Bad Language: Metric vs Metric Tensor vs Matrix Form vs Line Element
- The support vector machine has avoided the dimension disaster with the inner product operation.
- Geometrically, the inner product of two vectors can be considered a measure of their similarity.