MATHEMATICAL MODELING AND ORDINARY …
MATHEMATICAL MODELING AND ORDINARY DIFFERENTIAL EQUATIONS I-Liang Chern Department of Mathematics National Taiwan University 2007, 2015 January 6, 2016
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Methods in Applied Mathematics - 國立臺灣大學
www.math.ntu.edu.twChapter 1 Dimensional Analysis 1.1 The program of applied mathematics The program of applied mathematics consists of the following procedures. Observe a phenomenon, determine variables (quantities) that we are concerned with.
Lecture 2 : Basics of Probability Theory
www.math.ntu.edu.twLecture 2 : Basics of Probability Theory When an experiment is performed, the realization of the experiment is an outcome in the sample space. If the experiment is performed a number of times, different outcomes may occur each time or some outcomes may repeat. This “frequency of occurrence” of an outcome can be thought of as a probability.
Partial Differential Equation Toolbox User's Guide
www.math.ntu.edu.twFor Use with MATLAB® User’s Guide Computer Solutions Europe AB. How to Contact The MathWorks: 508-647-7000 Phone ... A nonlinear solver is available for the nonlinear elliptic PDE ... solver for Poisson’s equation on a rectangular grid is available. – ∇⋅()cu∇+au = f ...
第 9 章 無窮級數 (Infinite Series)
www.math.ntu.edu.tw第9 章無窮級數 9.1 數列 (4) 若an ‚ an+1,8n, 則稱fang 為非上升數列 (nondecreasing sequence)。 (5) fang 為上升或下降數列, 則統稱為單調 (monotonic)。 (6) 若存在 N, 使得 an < an+1,8 n > N, 則稱fang 為終極上升 (ultimately increasing) 數列 定義 9.1.19. (1) 若存在 M, 使得 an • M,8n, 則稱fang 為有上界 (bounded above), 且 M
Chapter 2. Order Statistics - 國立臺灣大學
www.math.ntu.edu.twcontinuous. Moreover, the above decomposition is unique. Let λ denote the Lebesgue measure on B, the σ-field of Borel sets in R. It follows from the Lebesgue decomposition theorem that we can write F c(x) = βF s(x)+(1−β)F ac(x) where 0 ≤ β ≤ 1, F s is singular with respect to λ, and F ac is absolutely continuous with respect to λ.
FINITE DIFFERENCE METHODS FOR SOLVING DIFFERENTIAL …
www.math.ntu.edu.twFINITE DIFFERENCE METHODS FOR SOLVING DIFFERENTIAL EQUATIONS I-Liang Chern Department of Mathematics National Taiwan University May 16, 2013
1 Order Statistics - 國立臺灣大學
www.math.ntu.edu.tw1 Order Statistics Definition The order statistics of a random sample X1,...,Xn are the sample values placed in ascending order. They are denoted by X(1),...,X(n). The order statistics are random variables that satisfy X(1) ≤ X(2) ≤ ··· ≤ X(n). The following are some statistics that are easily defined in terms of the order statistics.
3.2.5 Negative Binomial Distribution - 國立臺灣大學
www.math.ntu.edu.twThe negative binomial distribution is sometimes defined in terms of the random variable Y =number of failures before rth success. This formulation is statistically equivalent to the one given above in terms of X =trial at which the rth success occurs, since Y = X −r. The
5.5.3 Convergence in Distribution
www.math.ntu.edu.twIf Xn → X in distribution and Yn → a, a constant, in probability, then (a) YnXn → aX in distribution. (b) Xn +Yn → X +a in distribution. Example (Normal approximation with estimated variance) Suppose that √ n(X¯ n −µ) σ → N(0,1), but the value σ is unknown. We know Sn → σ in probability. By Exercise 5.32, σ/Sn → 1 in ...
4.2 Conditional Distributions and Independence
www.math.ntu.edu.tw4.2 Conditional Distributions and Independence Definition 4.2.1 Let (X,Y) be a discrete bivariate random vector with joint pmf f(x,y) and marginal pmfs fX(x) and fY (y). For any x such that P(X = x) = fX(x) > 0, the conditional pmf of Y given that X = …
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