Extrema

Xem 1-12 trên 12 kết quả Extrema
  • Spectral extrema for graphs: the Zarankiewicz problem L´szl´ Babai∗ a o Barry Guiduli†Submitted: Jul 12, 2007; Accepted: Sep 21, 2009; Published: Sep 25, 2009 Abstract Let G be a graph on n vertices with spectral radius λ (this is the largest eigenvalue of the adjacency matrix of G). We show that if G does not contain the complete bipartite graph Kt,s as a subgraph, where 2 t s, then λ (s − 1)1/t + o(1) n1−1/t for fixed t and s while n → ∞. Asymptotically, this bound matches the K˝v´rio a Tur´n-S´s upper bound on the average degree of G...

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  • Lecture Mathematics 53 - Lecture 3.2 provides knowledge the mean value theorem and relative extrema. The main contents of this chapter include all of the following: The mean value theorem, critical numbers, increasing/decreasing functions, the first derivative test for relative extrema.

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  • Tham khảo sách 'real functions of several variables - examples of tangents to curves, tangent planes to surfaces elementary integrals extrema calculus 2c-3', khoa học tự nhiên, toán học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • In this volume I present some examples of tangents to curves, tangent planes to surfaces, elementary integrals and Extrema, cf. also Calculus 2b, Functions of Several Variables. Since my aim also has been to demonstrate some solution strategy I have as far as possible structured the examples according to the following form A Awareness, i.e. a short description of what is the problem. D Decision, i.e. a reflection over what should be done with the problem. I Implementation, i.e. where all the calculations are made. C Control, i.e. a test of the result....

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  • Lecture Mathematics 53 - Lecture 3.3 presents the absolute extrema and optimization. The main contents of this chapter include all of the following: Definitions and examples, absolute extrema of functions on closed and bounded intervals, absolute extrema of functions with one relative extremum, other cases: using limits.

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  • Stochastic Calculus of Variations (or Malliavin Calculus) consists, in brief, in constructing and exploiting natural differentiable structures on abstract probability spaces; in other words, Stochastic Calculus of Variations proceeds from a merging of differential calculus and probability theory. As optimization under a random environment is at the heart of mathematical finance, and as differential calculus is of paramount importance for the search of extrema, it is not surprising that Stochastic Calculus of Variations appears in mathematical finance.

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  • 109 if we think of the graph of the distance function in Rn . This is a surface S in R n and if we follow the extrema of distance on this surface, the roadmap of this paper is exactly a roadmap in the sense of 18 and 19 . The silhouette curves of 18 correspond to the freeway curves of this paper, and the linking curves correspond to bridges. Recall the basic property required of roadmaps:  +1 De nition A subset of R of a set S satis es the roadmap condition if every connected component of S contains a single...

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  • "Calculus and its applications: 2.1" - Using first derivatives to find maximum and minimum values and sketch graphs have objective: find relative extrema of a continuous function using the first-derivative test, sketch graphs of continuous functions.

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  • "Calculus and its applications: 2.2" - Using Second derivatives to find maximum and minimum values and sketch graphs have objective: find the relative extrema of a function using the second-derivative test, sketch the graph of a continuous function.

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  • "Calculus and its applications: 2.4" - Using derivatives to find absolute maximum and minimum values have objective: find absolute extrema using maximum-minimum principle 1, find absolute extrema using maximum-minimum principle 2.

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  • "Calculus and its applications: 6.3" - Calculus and its applications-Maximum-minimum problems have objective: find relative extrema of a function of two variables.

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  • In this concept, you will learn to find the optimal value of a function that is associated with an optimization problem. At this point, you know how to analyze a function to find its minima and maxima using the first and second derivatives. This is a big deal! Finding the solution to some real-world problem (such as in finance, science, and engineering) often involves a process of finding the maximum or minimum of a function within an acceptable region of values.

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