45 Yuval Peres Coloring a graph arising from a lacunary sequence 59:15 Vojtěch Rödl On two Ramsey type problems for Kt+1-free graphs 47:07 Vilmos Totik Erdős on polynomials And Ben Green The sum-free set constant is ⅓ 1:45:31 Tomasz Łuczak Threshold functions a historical ...
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The probability distribution of jitter is a bounded Gaussian distribution if the aggressor and victim are asynchronous, which is also known as CBGJ (Correlated Bounded Gaussian Jitter) at this time. It is impossible to correct BUJ/CBGJ. 4.2.2 Rj Rj is created by the semiconductor's own noise...
We can describe the local structure of a bounded-degree graph G by counting the number of isomorphic copies in G of each possible k -disk. We can summarize this information in form of a vector that has an entry for each isomorphism class of k -disks. The value of the entry is the ...
I hypothesize two things. First, ultra-learning is difficult but it can be cultivated. Second, it might be one of the most important skills for consistently generating impact. Those who are able and willing to continually master hard new knowledge and techniques are playing on a different field...
This question shows research effort; it is useful and clear 64 Save this question. Show activity on this post. Background: Although this site is most-often used for specific one-off questions, many of the highest scored questions (also on MathOverflow), which gather a lot of attention ...
Theorem 2:Let R be the feasible region for a linear programming problem, and let Z = ax + by be the objective function. If R is bounded**, then the objective function Z has both a maximum and a minimum value on R and each of these occurs at a corner point (vertex) of R. ...
A set F ⊂ C(X, R) is said to be pointwise bounded if for every x ∈ X, A version of the Theorem holds also in the space C(X) of real-valued continuous functions on a compact Hausdorff space X (Dunford & Schwartz 1958, §IV.What...
In that post, we remarked that whenever one receives a new piece of information , the prior odds between an alternative hypothesis and a null hypothesis is updated to a posterior odds , which can be computed via Bayes’ theorem by the formula where is the likelihood of this information ...
BigOh complexity can be visualized with this graph: The simplest definition I can give for Big Oh notation is this: Big Oh notation is a relative representation of the complexity of an algorithm. There are some important and deliberately chosen words in that sentence: relative: you can onl...