![]() ![]() Our last book that we are going to read about GRIT is about impossible dreams. Still, this is a debut, and I did enjoy the artwork quite a bit, so I will look forward to seeing what else this talented newcomer does in the field. In short, I found the text here a little too cerebral, which was a surprise, since I tend to enjoy more philosophical picture-books. ![]() That said, although I liked the idea of the story here, I think the actual narrative veers a little too far into the self-consciously thoughtful/philosophical, rather than allowing deeper meanings to surface naturally through the story. Agaoglu has an eye for color and shape, and a quirky sensibility that I greatly enjoyed. I loved the artwork - created using block print, gouache and ink - in The Almost Impossible Thing, finding it entertaining and (appropriately enough) imaginative. Persisting, even in the face of the incomprehension of friends and the seeming impossibility of the task before her, the bunny finally manages to take off, together with a number of her kind. ISBN 978-0521406055.A little bunny dreams of flight after seeing a bird in the sky, and sets out to make her dream a reality in this debut picture-book from author/illustrator Basak Agaoglu. Diffusions, Markov Processes, and Martingales. Memoirs of the American Mathematical Society. "A Sharp Threshold for Random Graphs with a Monochromatic Triangle in Every Edge Coloring". ![]() ![]() ^ Friedgut, Ehud Rödl, Vojtech Rucinski, Andrzej Tetali, Prasad (January 2006)."How probable is an infinite sequence of heads?". Finite Model Theory and Its Applications. Libkin, Leonid Marx, Maarten Spencer, Joel Vardi, Moshe Y. Infinite monkey theorem, a theorem using the aforementioned terms.Degenerate distribution, for "almost surely constant".Cromwell's rule, which says that probabilities should almost never be set as zero or one.Convergence of random variables, for "almost sure convergence".Almost everywhere, the corresponding concept in measure theory.Similarly, in graph theory, this is sometimes referred to as "almost surely". In number theory, this is referred to as " almost all", as in "almost all numbers are composite". Almost never describes the opposite of almost surely: an event that happens with probability zero happens almost never. The terms almost certainly (a.c.) and almost always (a.a.) are also used. Some examples of the use of this concept include the strong and uniform versions of the law of large numbers, and the continuity of the paths of Brownian motion. However, this distinction becomes important when the sample space is an infinite set, because an infinite set can have non-empty subsets of probability 0. In probability experiments on a finite sample space with a non-zero probability for each outcome, there is no difference between almost surely and surely (since having a probability of 1 entails including all the sample points). The concept is analogous to the concept of " almost everywhere" in measure theory. In other words, the set of possible exceptions may be non-empty, but it has probability 0. In probability theory, an event is said to happen almost surely (sometimes abbreviated as a.s.) if it happens with probability 1 (or Lebesgue measure 1). For Rudolf Carnap's notion of "probability 1", see Probability interpretations. ![]()
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