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|a Automated Deduction in Geometry
|h [electronic resource] :
|b 10th International Workshop, ADG 2014, Coimbra, Portugal, July 9-11, 2014, Revised Selected Papers /
|c edited by Francisco Botana, Pedro Quaresma.
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|a 1st ed. 2015.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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|a IX, 181 p. 54 illus.
|b online resource.
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 9201
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|a Star Unfolding Polygons -- Volume Frameworks and Deformation Varieties -- Recent Advances in Real Geometric Reasoning -- The Relation Tool in GeoGebra -- Computer Theorem Proving for Verifiable Solving of Geometric Construction Problems -- Integrated Circumradius and Area Formulae for Cyclic Pentagons and Hexagons -- Extension of Simson-Wallace Theorem on Skew Quadrilaterals -- Current Status of the I2GATP Common Format -- On Flattenability of Graphs -- Discovering Geometric Theorems from Scanned and Photographed Images of Diagrams -- Combinatorial Rigidity and Independence of Generalized Pinned Subspace-Incidence Constraint Systems.
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|a This book constitutes the thoroughly refereed post-workshop proceedings of the 10th International Workshop on Automated Deduction in Geometry, ADG 2014, held in Coimbra, Portugal, in July 2014. The 11 revised full papers presented in this volume were carefully selected from 20 submissions. The papers show the trend set of current research in automated reasoning in geometry.
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|a Artificial intelligence.
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|a Computer graphics.
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|a Machine theory.
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|a Computer science-Mathematics.
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|a Discrete mathematics.
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|a Software engineering.
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|a Artificial Intelligence.
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|a Computer Graphics.
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|a Formal Languages and Automata Theory.
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|a Symbolic and Algebraic Manipulation.
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|a Discrete Mathematics in Computer Science.
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|a Software Engineering.
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|a Botana, Francisco.
|e editor.
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|a Quaresma, Pedro.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319213637
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|i Printed edition:
|z 9783319213613
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 9201
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|u https://doi.uam.elogim.com/10.1007/978-3-319-21362-0
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