WebI just failed a test in discrete math. Here is the Question that cost me the most points: An n-dimension hypercube f(n) is defined as follows. Basis Step: f(1) is a graph with 2 vertices connected by a link, and with 1-bit ID for each vertex. Recursive step: To define f(n) for n>=2, we use two (n-1) dimension hypercubes. WebJun 24, 2024 · Consider a 100-dimensional discrete hypercube of 100-tuples of the form ( a _1, a _2, …, a _100), where the a _i’s are all natural numbers between 0 and 100. …
教师简介:李平山-数学与计算科学学院
WebOct 23, 2024 · We'll present two results in this direction: First, we will suggest a natural definition of log-concavity which attains such concentration, namely, in terms of the (semi) log-concavity of the multilinear extension. Second, we will present a result which gives sufficient conditions for concentration of quadratic forms, and in particular implies ... WebOct 22, 2024 · Talagrand's influence inequality (1994) asserts that there exists such that for every , every function satisfies In this work, we undertake a systematic investigation of this and related inequalities via harmonic analytic and stochastic techniques and derive applications to metric embeddings. how to start your own doggy daycare
Discrete fixed-point theorem - Wikipedia
WebSep 16, 2015 · So either I need a solution that uses only that property or I need a method to prove that this induces a submodular function on the discrete hypercube... $\endgroup$ – user6818 Sep 16, 2015 at 20:22 WebIn discrete mathematics, a discrete fixed-point is a fixed-point for functions defined on finite sets, typically subsets of the integer grid . Discrete fixed-point theorems ... There are various direction-preservation conditions, depending on whether neighboring points are considered points of a hypercube (HGDP), of a simplex (SGDP) etc. WebMar 10, 2016 · This paper proposes a new iterative discrete Latin hypercube sampling based method to maximize the objective function (OF) in production strategy optimization. This methodology adequately treats posterior frequency distributions of discrete random variables and maximizes non-necessarily monotonic objective functions within … react netcore