000 04170nam a22005175i 4500
001 978-3-031-55985-3
003 DE-He213
005 20251030112255.0
007 cr nn 008mamaa
008 240603s2024 sz | s |||| 0|eng d
020 _a9783031559853
_9978-3-031-55985-3
024 7 _a10.1007/978-3-031-55985-3
_2doi
050 4 _aQA1-939
072 7 _aPB
_2bicssc
072 7 _aMAT000000
_2bisacsh
072 7 _aPB
_2thema
245 1 0 _aAdvanced Computational Applications of Geometric Algebra
_h[electronic resource] :
_bICACGA 2022, Denver, CO, USA, October 2–5 /
_cedited by David William Honorio Araujo Da Silva, Dietmar Hildenbrand, Eckhard Hitzer.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aX, 257 p. 83 illus., 73 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Proceedings in Mathematics & Statistics,
_x2194-1017 ;
_v445
505 0 _aE. Hitzer, D. Hildenbrand, Introduction to Geometric Algebra -- L. Dorst and S. De Keninck, Physical Geometry by Plane-based Geometric Algebra -- E. Hitzer, Inner product of two oriented points in conformal geometric algebra in detail -- H. Yao, S. Mann, Line—Cyclide Intersection and Colinear Point Quadruples in the Double Conformal Model -- C. Matsantonis and J. Lasenby, A Geometric Algebra Solution to the Absolute Orientation Problem -- A. Pepe, J. Lasenby and P. Chacon: Geometric Algebra Models of Proteins for Three-Dimensional Structure Prediction: a detailed analysis -- K. Neumann et al: GAAlign: Robust Sampling-based Point Cloud Registration using Geometric Algebra -- W. Luo et al,Geometric algebra: a possible foundation for Digital twin modeling and analysis – a case study with PIR scene -- A. Arsenovic, A Spinor Model for Cascading Two-port Networks In Conformal Geometric Algebra -- G. Vieira Neto et al, Clifford Convolutional Neural Networks: Concepts, Implementation, and an Application for Lymphoblast Image Classification -- D. Hildenbrand+Ed Saribatir et al, Geometric Algebra algorithm code optimised by GAALOP executing on a simulated memristor crossbar array.
520 _aHow Geometric Algebra can naturally serve for constructing solutions for pattern recognition, machine learning, data compression, games, robotics, quantum computing, data encoding, to cite a few. Moreover, there is ample evidence that further research on GA and related areas can significantly expand the number of real-world applications in a wide variety of areas. A mathematical system that is very easy to handle, highly robust and superior performance for engineering applications. Good thematic introduction for engineers and researchers new to the subject. Extensive illustrations and code examples. Thematically well structured with many hands on examples. Learning about GA and how to use it for daily tasks in engineering research and development.
650 0 _aMathematics.
_965523
650 1 4 _aMathematics.
_965523
700 1 _aAraujo Da Silva, David William Honorio.
_eeditor.
_0(orcid)0000-0003-4498-0525
_1https://orcid.org/0000-0003-4498-0525
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_978179
700 1 _aHildenbrand, Dietmar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_970453
700 1 _aHitzer, Eckhard.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_970452
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031559846
776 0 8 _iPrinted edition:
_z9783031559860
776 0 8 _iPrinted edition:
_z9783031559877
830 0 _aSpringer Proceedings in Mathematics & Statistics,
_x2194-1017 ;
_v445
_972341
856 4 0 _uhttps://doi.org/10.1007/978-3-031-55985-3
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
999 _c60481
_d60481