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Quadratic Transformation for Planar Mapping of Implicit Surfaces
Journal of Mathematical Imaging and Vision, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
József Molnár, Dmitry Chetverikov
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1994
Let K be an infinite field of characteristic #2. For vector spaces X, Y over K of finite dimension, we defined a quadratic mapf: X→ Y by the following conditions : $$f(ax) = {a^2}f(x),a \in K,x \in X$$ (5.1) $$(x,y) \mapsto \frac{1}{2}[f(x + y) - f(x) - f(y)],x,y \in XS$$ (5.2) is bilinear [see (1.2) and (1.3)]. We denoted by Q(X, Y)
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Let K be an infinite field of characteristic #2. For vector spaces X, Y over K of finite dimension, we defined a quadratic mapf: X→ Y by the following conditions : $$f(ax) = {a^2}f(x),a \in K,x \in X$$ (5.1) $$(x,y) \mapsto \frac{1}{2}[f(x + y) - f(x) - f(y)],x,y \in XS$$ (5.2) is bilinear [see (1.2) and (1.3)]. We denoted by Q(X, Y)
openaire +1 more source
1994
Let f: R n→R m be a quadratic map. By definition there exist m quadratic forms f,... ,f m on R n such that $$f(x) = ({f_1}(x),...,{f_m}(x)),x \in {R^n}$$ .
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Let f: R n→R m be a quadratic map. By definition there exist m quadratic forms f,... ,f m on R n such that $$f(x) = ({f_1}(x),...,{f_m}(x)),x \in {R^n}$$ .
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A cluster of 1D quadratic chaotic map and its applications in image encryption
Mathematics and Computers in Simulation, 2023Lingfeng Liu
exaly
Estimation of phase errors in SAR data by Local-Quadratic map-drift autofocus
International Radar Symposium, 2012O. Bezvesilniy, I. Gorovyi, D. Vavriv
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Chaotic Complex Hashing: A simple chaotic keyed hash function based on complex quadratic map
Chaos, Solitons and Fractals, 2023Peyman Ayubi +2 more
exaly
Ergodic and resonant torus doubling bifurcation in a three-dimensional quadratic map
Nonlinear dynamicsS. S. Muni
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Constructing dynamic strong S-Box using 3D chaotic map and application to image encryption
Multimedia tools and applications, 2022Hongjun Liu, Jian Liu, Chao Ma
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