Exact(2)
where ∘ denotes the Hadamard (element wise) product, diagonal positive definite matrices for thermal conductivity and volumetric heat capacity M k, M ρ c, discrete divergence and gradient operators S ˜, − S ˜ ⊤ on the dual grid, respectively.
It's wise product branding, since "a militia with no oversight that rapes and kills people" makes for an awkward acronym.
Similar(58)
where ⊙ is the element-wise product operator and the fraction is the element-wise division operator.
Moreover, T, || · ||, and ⊙ designate transposition, ℓ2 norm, and element-wise product, respectively.
where ⊙ denotes Hadamard (element-wise) product of matrices, and U 0,0=I.
We define a new "element-wise" product, which greatly simplifies the likelihood function with hyperparameter matrix.
The batch-wise product loading was found to be advantageous with regards to firmness loss of the produce but was marginally energy intensive over the step-wise product loading strategy.
The symbol denotes the Kronecker (or direct) product of two matrices, and denotes their Hadamard (component-wise) product.
We use the symbol and to denote the Hadamard (element-wise) product and Kronecker product between matrices, respectively.
We then use O to further improve the reconstructed foreground ( widehat{mathbf{F}} ) through ( odot kern0.5em widehat{mathbf{F}} ), where ⊙ denotes the Hadamard (point-wise) product.
It can be concluded that the global covariance matrix Σ is given by the Hadamard (i.e. element-wise) product of the space-time speckle and texture covariance matrices.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com