Say stuff here

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17 Responses to Say stuff here

  1. jhgkjhg


    why bold here?????

    AAAAAAAAAAAaaaaaaaaarrrrrrrrrrrrgh….

  2. OK, so here’s how to insert rules:
    <hr width=”50%” />
    [empty line]
    Lalalala

  3. Which looks like:
    OK, so here’s how to insert rules:


    Lalalala

  4. ich says:

    http://www.sciencemag.org/cgi/content/summary/299/5608/837

    It has long been argued that complex systems like Earth’s climate may be in a state of maximum entropy production. In such a state, the work output-or, crudely, the product of the heat flux and the temperature gradient driving it-is maximized. But, as Lorenz explains in his Perspective, no reason for why systems should choose this state has been known. He highlights a recent paper that shows how the maximum entropy production state can become the most probable state.

  5. Florifulgurator says:

    dfffffffffffffffffff

  6. Florifulgurator says:

    Perhaps I shouldn’t have said Pyrolysis… From http://en.wikipedia.org/wiki/Pyrolysis :

    In a wood fire, the visible flames are not due to combustion of the wood itself, but rather of the gases released by its pyrolysis, whereas the flame-less burning of embers is the combustion of the solid residue (charcoal) left behind by it.

  7. i\hbar\frac{\partial}{\partial t}\left|\Psi(t)\right>=H\left|\Psi(t)\right>

  8. $i\hbar\frac{\partial}{\partial t}\left|\Psi(t)\right>=H\left|\Psi(t)\right>$

  9. It’s a continuous stochastic process with values in the space of finite Borel measures on \mathbb{R}^d (or perhaps a Riemannian manifold). Like BM it has the Laplacian as generator, in the sense of a martingale problem, where the Laplacian operates by turning a measure \mathcal{C}_c \ni f \mapsto \mu(f) into the functional $\mathcal{C}_c \ni f \mapsto \mu(\Delta f)$.

  10. It’s a continuous stochastic process with values in the space of finite Borel measures on \mathbb{R}^d (or perhaps a Riemannian manifold). Like BM it has the Laplacian as generator, in the sense of a martingale problem, where the Laplacian operates by turning a measure \mathcal{C}_c(\mathbb{R}^d) \ni f \mapsto \mu(f) into the functional \mathcal{C}_c(\mathbb{R}^d)^2 \ni f \mapsto \mu(\Delta f).

  11. It’s a continuous stochastic process with values in the space of finite Borel measures on \mathbb{R}^d (or perhaps a Riemannian manifold). Like BM it has the Laplacian as generator, in the sense of a martingale problem, where the Laplacian operates by turning a measure \mathcal{C}_c(\mathbb{R}^d) \ni f \mapsto \mu(f)\in\mathbb{R} into the functional \mathcal{C}_c(\mathbb{R}^d)^2 \ni f \mapsto \mu(\Delta f)\in\mathbb{R}.

  12. It’s a continuous stochastic process with values in the space of finite Borel measures on \mathbb{R}^d (or perhaps a Riemannian manifold). Like BM it has the Laplacian as generator, in the sense of a martingale problem, where the Laplacian operates by turning a measure \mathcal{C}_c(\mathbb{R}^d) \ni f \mapsto \mu(f)\in\mathbb{R} into the functional \mathcal{C}_c^2(\mathbb{R}^d) \ni f \mapsto \mu(\Delta f)\in\mathbb{R}.

  13. It’s a continuous stochastic process with values in the space of finite Borel measures on \mathbb{R}^d (or perhaps a Riemannian manifold). Like BM it has the Laplacian as generator, in the sense of a martingale problem, where the Laplacian operates by turning a measure \mathcal{C}_c(\mathbb{R}^d) \ni f \mapsto \mu(f)\in\mathbb{R} into the functional \mathcal{C}_c(\mathbb{R}^d)^2 \ni f \mapsto \mu(\Delta f).

  14. It’s a continuous stochastic process with values in the space of finite Borel measures on \mathbb{R}^d (or perhaps a Riemannian manifold). Like BM it has the Laplacian as generator, in the sense of a martingale problem, where the Laplacian operates by turning a measure \mathcal{C}_c(\mathbb{R}^d) \ni f \mapsto \mu(f)\in\mathbb{R} into the functional \mathcal{C}_c^2(\mathbb{R}^d) \ni f \mapsto \mu(\Delta f).

  15. It’s a continuous stochastic process with values in the space of finite Borel measures on \mathbb{R}^d (or perhaps a Riemannian manifold). Like BM it has the Laplacian as generator, in the sense of a martingale problem, where the Laplacian operates by turning a measure \mathcal{C}_c(\mathbb{R}^d) \ni f \mapsto \mu(f)\in\mathbb{R} into the functional \mathcal{C}_c^2(\mathbb{R}^d) \ni f \mapsto \mu(\Delta f).

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