Titlebook: Virtual, Augmented and Mixed Reality: Applications in Health, Cultural Heritage, and Industry; 10th International C Jessie Y.C. Chen,Gino F

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Mark R. Costa,Dessa Bergen-Cico,Rocio Hererro,Jessica Navarro,Rachel Razza,Qiu Wang easiest, namely algebraic models in this chapter, followed by models based on ordinary differential equations (ODEs) in Chapters 6 and 7, difference equation models in Chapter 8, and partial differential equation (PDE) models in Chapter 12. The emphasis is on not stressing the reader, but instead g

CLAN

Jiangtao Gong,Yin Shi,Jue Wang,Danqing Shi,Yingqing Xumatrix. For many applications such as numerically integrating the multibody dynamical equations, the extra cost of symbolically inverting the matrix to obtain explicit . form can be impractical while Implicit Reduced Involutive Form is sufficient..An approach to alleviating expression swell involvin

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ARK

Gyoung Kim,Frank Biocca unknown variables, ARE can be viewed as a set of . algebraic equations with . variables and parameter ., where . is the number of entries of the unknown matrix. Computing Groebner basis of the algebraic equations with lexicographic ordering, we obtain a polynomial whose roots are the solution of AR

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Dan Liao,Yanping Huang,Zhizhen Tan,Jiong Yang,Xiangmin Xu(molecular dynamics study of human red blood cell membrane), meteorology (implementing and evaluating the Weather Research and Forecast Model for the territory of Armenia). The overview also notes that the Institute for Informatics and Automation Problems of the National Academy of Sciences of Armen

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