Bibliografías temáticas / Spatial and geometric constraints / Libros

Libros sobre el tema "Spatial and geometric constraints"

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Publicado: 7 de julio de 2024

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1

Shufelt, Jefferey. Geometric Constraints for Object Detection and Delineation. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-5273-4.

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2

Shufelt, Jefferey. Geometric constraints for object detection and delineation. Boston: Kluwer Academic Publishers, 2000.

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3

Grimson, William Eric Leifur. Object recognition by computer: The role of geometric constraints. Cambridge, Mass: MIT Press, 1990.

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4

Govaerts, Jan. Hamiltonian quantisation and constrained dynamics. Leuven (Belgium): Leuven University Press, 1991.

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5

NATO Advanced Study on Propagation of Correlations in Constrained Systems (1990 Cargèse, France). Correlations and connectivity: Geometric aspects of physics, chemistry, and biology. Dordrecht: Kluwer Academic Publishers, 1990.

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6

Ness, Daniel. Knowledge under construction: The importance of play in developing children's spatial and geometric thinking activities. Lanham, Md: Rowman & Littlefield, 2007.

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7

Landsat-4 Science Characterization Early Results Symposium (1983 Greenbelt, Md.). Landsat-4 science characterization early results: Proceedings of the Landsat-4 Science Characterization Early Results Symposium, February 22-24, 1983, held at NASA Goddard Space Flight Center, Greenbelt, Maryland. Editado por Barker John L, United States. National Aeronautics and Space Administration y Landsat-4 Early Results Symposium (1983 : Greenbelt, Md.). Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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8

L, Barker John y United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch, eds. Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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9

Landsat-4 Science Characterization Early Results Symposium (1983 Greenbelt, Md.). Landsat-4 science characterization early results: Proceedings of the Landsat-4 Science Characterization Early Results Symposium, February 22-24, 1983, held at NASA Goddard Space Flight Center, Greenbelt, Maryland. Editado por Barker John L, United States. National Aeronautics and Space Administration y Landsat-4 Early Results Symposium (1983 : Greenbelt, Md.). Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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10

L, Barker John y United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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11

L, Barker John y United States. National Aeronautics and Space Administration., eds. Landsat-4 science characterization early results. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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12

L, Barker John y United States. National Aeronautics and Space Administration., eds. Landsat-4 science characterization early results. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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13

L, Barker John y United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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14

L, Barker John y United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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15

L, Barker John y United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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16

L, Barker John y United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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17

Stozharova, Marina. Theory and methodology of mathematical development of preschool children. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1896112.

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The textbook reveals the theoretical foundations of teaching elementary mathematics to preschoolers, starting with the didactic system for the development of elementary mathematical concepts. All the main sections of mathematical work with children are covered — the formation of quantitative, spatial, temporal representations, representations of shape and geometric shapes, magnitude. Much attention is paid to such current problems as the development of visual spatial modeling by preschoolers on an accessible basis, the use of a digital educational environment in teaching elementary mathematics to children, the lines and main forms of continuity between kindergarten and school in teaching mathematics are considered. Meets the requirements of the federal state educational standards of secondary vocational education institutions of the latest generation. For students of secondary vocational education institutions studying in the specialty 44.02.01 "Preschool education", as well as for all teachers working in the field of preschool education.
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18

Mercati, Flavio. York’s Solution to the Initial-Value Problem. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789475.003.0008.

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In this chapter I briefly review York’s method (or the conformal method) for solving the initial value problem of (GR). This method, developed initially by Lichnerowicz and then generalized by Choquet-Bruhat and York, allows to find solutions of the constraints of (GR) (in particular the Hamiltonian, or refoliation constraint) by scanning the conformal equivalence class of spatial metrics for a solution of the Hamiltonian constraint, exploiting the fact that, in a particular foliation (CMC), the transverse nature of the momentum field is preserved under conformal transformations. This method allows to transform the initial value problem into an elliptic problem for the solution for which good existence and uniqueness theorems are available. Moreover this method allows to identify the reduced phase space of (GR) with the cotangent bundle to conformal superspace (the space of conformal 3-geometries), when the CMC foliation is valid. SD essentially amounts to taking this phase space as fundamental and renouncing the spacetime description when the CMC foliation is not available.
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19

Michelucci, Dominique, Pascal Mathis y Pascal Schreck. Parametric Geometric Modeling Using Constraints. Wiley & Sons, Incorporated, John, 2019.

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20

Shufelt, Jefferey. Geometric Constraints for Object Detection and Delineation. Springer London, Limited, 2013.

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21

Shufelt, Jefferey. Geometric Constraints for Object Detection and Delineation. Springer, 2012.

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22

Harper, Gary. Full Unified Geometric Algebra: Amazing Spatial Arithmetic. Independently Published, 2019.

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23

Hohol, Mateusz. Foundations of Geometric Cognition. Taylor & Francis Group, 2019.

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24

Hohol, Mateusz. Foundations of Geometric Cognition. Taylor & Francis Group, 2019.

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25

Hohol, Mateusz. Foundations of Geometric Cognition. Taylor & Francis Group, 2019.

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26

Hohol, Mateusz. Foundations of Geometric Cognition. Taylor & Francis Group, 2019.

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27

Hohol, Mateusz. Foundations of Geometric Cognition. Taylor & Francis Group, 2019.

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28

Grimson, William Eric Leifur. Object Recognition by Computer: The Role of Geometric Constraints (Artificial Intelligence). The MIT Press, 1991.

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29

Grimson, William Eric Leifur. Object Recognition by Computer: The Role of Geometric Constraints (Artificial Intelligence). The MIT Press, 1991.

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30

Mensah, Joseph. Spatial constraints upon the employment opportunities of low income people in Edmonton. 1993.

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31

Kelly, Debbie M. y Marcia L. Spetch. Comparative Spatial CognitionEncoding of Geometric Information from Surfaces and Landmark Arrays. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195392661.013.0020.

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32

Moss, Joan. Taking Shape: Activities to Develop Geometric and Spatial Thinking, Grades K-2. Pearson, 2016.

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33

Near-infrared spectral geometric albedos of Charon and Pluto: Constraints on Charon's surface composition. [Washington, D.C: National Aeronautics and Space Administration, 1996.

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34

Near-infrared spectral geometric albedos of Charon and Pluto: Constraints on Charon's surface composition. [Washington, D.C: National Aeronautics and Space Administration, 1996.

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35

Near-infrared spectral geometric albedos of Charon and Pluto: Constraints on Charon's surface composition. [Washington, D.C: National Aeronautics and Space Administration, 1996.

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36

Shufelt, Jefferey. Geometric Constraints for Object Detection and Delineation (Kluwer International Series in Engineering and Computer Science). Springer, 1999.

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37

Farenga, Stephen. Knowledge under Construction: The Importance of Play in Developing Children's Spatial and Geometric Thinking. Rowman & Littlefield Publishers, Inc., 2007.

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38

Jones, Graham. Most Difficult Geometric Puzzles: Tricky Puzzles to Challenge Every Angle of Your Spatial Skills. Welbeck Publishing Group Ltd., 2021.

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39

Ness, Daniel y Stephen J. Farenga. Knowledge Under Construction: The Importance of Play in Developing Children's Spatial and Geometric Thinking. Rowman & Littlefield Publishers, Inc., 2007.

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40

Ness, Daniel y Stephen J. Farenga. Knowledge under Construction: The Importance of Play in Developing Children's Spatial and Geometric Thinking. Rowman & Littlefield Publishers, Incorporated, 2007.

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41

John, Mathias. Reaction Constraints for the Pi-Calculus: A Language for the Stochastic and Spatial Modeling of Cell-Biological Processes. Logos Verlag Berlin, 2011.

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42

Deruelle, Nathalie y Jean-Philippe Uzan. Matter in curved spacetime. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786399.003.0043.

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This chapter is concerned with the laws of motion of matter—particles, fluids, or fields—in the presence of an external gravitational field. In accordance with the equivalence principle, this motion will be ‘free’. That is, it is constrained only by the geometry of the spacetime whose curvature represents the gravitation. The concepts of energy, momentum, and angular momentum follow from the invariance of the solutions of the equations of motion under spatio-temporal translations or rotations. The chapter shows how the action is transformed, no longer under a modification of the field configuration, but instead under a displacement or, in the ‘passive’ version, under a translation of the coordinate grid in the opposite direction.
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43

The effects of high spatial constraints in determining the nature of the speed-accuracy trade-off in aimed hand movements. 1988.

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44

The effects of high spatial constraints in determining the nature of the speed-accuracy trade-off in aimed hand movements. 1990.

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45

Ijaz, Irmgard Helene. Native language and cognitive constraints on the meaning ascribed to select English spatial prepositions by advanced adult second language learners of English. 1985.

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46

Pakorn, Poom. Isometric Graph Paper Notebook 2D and 3D Drawing Project: Practical Isometric for Mechanical Design ,P&ID Design, Piping Isometrics, Sketching, Landscape Architecture, Civil Engineering, Graphic Design, Geometric Spatial View, Letter Size. Independently Published, 2021.

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47

Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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48

Landsat-4 science characterization early results. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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49

Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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50

Landsat-4 science characterization early results. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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