Results 271 to 280 of about 245,006 (326)
Europium probe binding to serum albumin and α<sub>1</sub>-AGP, key importance of configuration, charge and size complementarity. [PDF]
Li H+5 more
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Microdosimetry calculations in situ for clinically relevant photon sources and their correlation with the early DNA damage response. [PDF]
Dumančić M+6 more
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Fully coupled hybrid in-silico modeling of atherosclerosis: A multi-scale framework integrating CFD, transport phenomena and agent-based modeling. [PDF]
Caballero R, Martínez MÁ, Peña E.
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1993
Publisher Summary This chapter discusses stochastic geometry. Random points are the simplest random objects in geometry. They can be used in different ways, to generate a great variety of random geometrical objects, and they have applications in several domains—for instance, in statistics, computer geometry, and pattern analysis.
Weil, Wolfgang, Wieacker, John Andre
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Publisher Summary This chapter discusses stochastic geometry. Random points are the simplest random objects in geometry. They can be used in different ways, to generate a great variety of random geometrical objects, and they have applications in several domains—for instance, in statistics, computer geometry, and pattern analysis.
Weil, Wolfgang, Wieacker, John Andre
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Stochastic Geometry and Its Applications.
Journal of the American Statistical Association, 198823. Stochastic Geometry and its Applications. By D. Stoyan, W. S. Kendall and J. Mecke. ISBN 0 471 90519 4. Wiley, 1987. 345p. £23.50. (Wiley Series in Probability and Mathematical Statistics. A co‐production with Akademie‐Verlag, GDR.)
B. D. Ripley+3 more
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Stochastic differential geometry
Russian Mathematical Surveys, 1983The paper gives another exposition of what is now called ''Malliavin's stochastic calculus''. The approach is somewhat close to the Bismut's one. The results are extended to the case of diffusion processes on infinite dimensional smooth manifolds. This enables the author to construct certain quasi-invariant measures on infinite dimensional Lie groups ...
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Models of stochastic geometry ? A survey
ZOR Zeitschrift f� Operations Research Methods and Models of Operations Research, 1993Summary: This paper discusses some models of stochastic geometry which are of potential interest for operations research. These are the Boolean model, a certain model for random compact sets and marked point processes. The Boolean model is a generalization of the well-known queueing system \(M/G/\infty\).
Günter Lippmann, Dietrich Stoyan
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Stochastic differential geometry: An introduction
Acta Applicandae Mathematicae, 1987This is a survey on the relations between asymptotic properties of semi- martingales and, in particular, of Brownian motion on a Riemannian manifold on the one hand and curvature properties of the manifold on the other hand. Following a brief description of real-valued semimartingales and of some essentials of calculus on manifolds, an introduction to ...
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Stochastic Differential Geometry
2021Semi-martingales, bilinear forms, pull-back, covariation process, semimartingale integral, connection, chain rule, differential operators and Christoffel symbols, martingale criteria, induced connections, affine and convex maps, geodesics and martingale criteria, local drift and diffusion rates, sub-manifolds and projection, diffusions, Riemannian ...
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