Graphes et hypergraphes by Berge C.

By Berge C.

Show description

Read Online or Download Graphes et hypergraphes PDF

Similar mathematics_1 books

Mathematics, Affect and Learning: Middle School Students' Beliefs and Attitudes About Mathematics Education

This ebook examines the ideals, attitudes, values and feelings of scholars in Years five to eight (aged 10 to fourteen years) approximately arithmetic and arithmetic schooling. essentially, this publication makes a speciality of the advance of affective perspectives and responses in the direction of arithmetic and arithmetic studying. moreover, apparently scholars boost their extra detrimental perspectives of arithmetic in the course of the center college years (Years five to 8), and so the following we be aware of scholars during this serious interval.

Additional resources for Graphes et hypergraphes

Sample text

In that case, we get a problem of recovering a function f in R2 from its integrals along a two-dimensional family of circles in R2 (one parameter specifying the center of the circle along the given curve and the other one specifying its radius). As in the case of CAT, one can then vertically stack these 2D images to get a 3D image of the body interior. Of course, the fully 3D reconstruction of f from integrals over spheres in R3 is also possible. Definition 3 The spherical Radon transform (SRT) RS maps a function f on Rn into the set of its integrals along spheres in Rn Z Rs f ðp; rÞ ¼ f ðxÞdrðxÞ; ð3:4Þ jxÀpj¼r where drðxÞ is area measure on the sphere jx À pj ¼ r.

To generate poetry or music, but it cannot appraise or judge its quality. Hence, there is a genuine and compulsory need for some other logic, which can handle such real-life scenario. In 1965, Prof. Lofti A. Zadeh at the University of California introduced an identification tool by which this degree of truth can be handled by fuzzy set theoretic approach. With the invention of fuzzy chips in 1980s fuzzy logic received a great boost in the industry. Now in this twenty-first century fuzzy logic, artificial neural network (ANN), and evolutionary algorithms (EA) are receiving intensive attention in both academics and industry [1–15].

An X-ray beam is sent through the body, and its intensity is measured at both the source and the detector (Fig. 1). It is known from physics that the change of intensity ΔI of the beam on a small interval Δx satisfies the following simple law: DI ¼ f ðxÞ Dx; I ð3:1Þ where f(x) is the X-ray attenuation coefficient of the human body at point x and I (x) is the intensity of the beam at point x. 1) and solving the resulting differential equation one gets 8 9 < Z = I1 ¼ exp À f ðxÞdx ; ð3:2Þ : ; I0 L where the integral is taken along the line L passing through the source and the detector.

Download PDF sample

Rated 4.73 of 5 – based on 38 votes