AHP integrated geospatial application for identifying groundwater recharge zones accounting for temporal variations through multi-criterion weighted overlay analysis. [PDF]
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The authors consider two operations, \(\square\) and \(\diamondsuit\), on the class of convex bodies. The first one is product (or direct sum) with Euclidean metric (compare the reviewer's paper in Glasnik Mat. 27(47), 145-158 (1992)). The second is defined by the formula: \(A\diamondsuit B=\text{conv}(A\times \{b\}\cup \{a\}\times B)\), where \(a ...
Farran, H. R., Robertson, S. A.
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Covering convex bodies by translates of convex bodies
Mathematika, 1997Hadwiger conjectured that the smallest number of translates of a convex body \(K\) required to cover \(K\) is \(2^n\). Here a number of known weaker estimates of the number of required translates, or lattice translates, are obtained as consequences of two simple results.
Rogers, C. A., Zong, C.
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Convex bodies with non‐convex cross‐section bodies
Mathematika, 1999For \(K\) a convex body in \(\mathbb{R}^d\), the inner \((d-1)\)-quermass at direction \(u\in S^{d-1}\) is defined by \[ m_K(u)= \max_{t\in R}\lambda_{d-1} \bigl( K\cap (u^\perp+ tu)\bigr), \] where \(\lambda_{d-1}\) denotes the \((d-1)\)-dimensional Lebesgue measure. The cross-section body \(CK\) of \(K\), introduced by H.
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On the Minimal Convex Shell of a Convex Body
Canadian Mathematical Bulletin, 1993AbstractFor any convex body C in ℝd we introduce the notion of the convex shell and we prove that there exists a unique "minimal" convex shell, extending the notion of the minimal spherical shell of C. Then we prove that a "typical" convex body touches the boundary of its minimal convex shell in precisely d + 2 points.
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The cross-section body, plane sections of convex bodies and approximation of convex bodies, I
Geometriae Dedicata, 1996zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Makai, E. jun., Martini, H.
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Intersections of Convex Bodies
Journal of Mathematical Sciences, 2001For convex bodies \(K_0,K_1,\dots,K_m \subset\mathbb{R}^n\) and for \(\rho=(r_1, \dots,r_n) \in(\mathbb{R}^n)^m\), let \(\Phi(\rho): =K_0\cap \bigcup^m_{i =1} (K_1+r_i)\) and \(D:=\{\rho: \Phi(\rho) \neq\emptyset\}\). Then \(D\) is convex, and the family \(\{\Phi(\rho)\}_{\rho\in D}\) is concave.
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