У попа была собака. Он ее любил. Она съела кусок мяса.. Он ее убил. И под камень схоронил. А на камне написал:...
The domestic dog is a member of genus Canis (canines) that forms part of the wolf-like canids, and is the most widely abundant carnivore.
Formulas can be both in-line $$F(k) = \int_{-\infty}^{\infty} f(x) e^{2\pi i k} dx$$ and not.
Formulas can be both in-line $F(k) = \int_{-\infty}^{\infty} f(x) e^{2\pi i k} dx$ and not.
Formulas can be both in-line (F(k) = \int_{-\infty}^{\infty} f(x) e^{2\pi i k} dx) and not.
Formulas can be both in-line \(F(k) = \int_{-\infty}^{\infty} f(x) e^{2\pi i k} dx\) and not.
They can cost $5 or may be even $6. Or \$8 even or may be \$3.
$$ \begin{aligned}\nabla\times\vec{\mathbf{B}}-\frac{1}{c}\frac{\partial\vec{\mathbf{E}}}{\partial t} & =\frac{4\pi}{c}\vec{\mathbf{j}}\newline \nabla\cdot\vec{\mathbf{E}} & =4\pi\rho\newline \nabla\times\vec{\mathbf{E}}+\frac{1}{c}\frac{\partial\vec{\mathbf{B}}}{\partial t} & =\vec{\mathbf{0}}\newline \nabla\cdot\vec{\mathbf{B}} & =0 \end{aligned} $$
$$ \begin{aligned}\nabla\times\vec{\mathbf{B}}-\frac{1}{c}\frac{\partial\vec{\mathbf{E}}}{\partial t} & =\frac{4\pi}{c}\vec{\mathbf{j}}\ \nabla\cdot\vec{\mathbf{E}} & =4\pi\rho\ \nabla\times\vec{\mathbf{E}}+\frac{1}{c}\frac{\partial\vec{\mathbf{B}}}{\partial t} & =\vec{\mathbf{0}}\ \nabla\cdot\vec{\mathbf{B}} & =0 \end{aligned} $$
Example with \\ and special commands for KaTeX:
$$ \begin{aligned} \nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \[1em]
\nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \[0.5em] \nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \[1em] \nabla \cdot \vec{\mathbf{B}} & = 0 \end{aligned} $$
$$ \mathbf{V}_1 \times \mathbf{V}_2 = \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \\ \frac{\partial X}{\partial u} & \frac{\partial Y}{\partial u} & 0 \\ \frac{\partial X}{\partial v} & \frac{\partial Y}{\partial v} & 0 \end{vmatrix} $$
$$ \mathbf{V}_1 \times \mathbf{V}_2 = \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \\ \frac{\partial X}{\partial u} & \frac{\partial Y}{\partial u} & 0 \\ \frac{\partial X}{\partial v} & \frac{\partial Y}{\partial v} & 0 \end{vmatrix} $$
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