A tutorial introduction to Maple
Journal of Symbolic Computation
Mechanical geometry theorem proving
Mechanical geometry theorem proving
Computational algebraic geometry of projective configurations
Journal of Symbolic Computation
Vectorial Equations Solving for Mechanical Geometry Theorem Proving
Journal of Automated Reasoning
Planning Geometric Constraint Decomposition via Optimal Graph Transformations
AGTIVE '99 Proceedings of the International Workshop on Applications of Graph Transformations with Industrial Relevance
Some Applications of Clifford Algebra to Geometries
ADG '98 Proceedings of the Second International Workshop on Automated Deduction in Geometry
An Application of Automatic Theorem Proving in Computer Vision
ADG '98 Proceedings of the Second International Workshop on Automated Deduction in Geometry
Journal of Symbolic Computation
Symbolic computation in the homogeneous geometric model with clifford algebra
ISSAC '04 Proceedings of the 2004 international symposium on Symbolic and algebraic computation
Using Cayley-Menger determinants for geometric constraint solving
SM '04 Proceedings of the ninth ACM symposium on Solid modeling and applications
A recipe for symbolic geometric computing: long geometric product, BREEFS and Clifford factorization
Proceedings of the 2007 international symposium on Symbolic and algebraic computation
Geometric constraint solving: The witness configuration method
Computer-Aided Design
Comparing acceleration techniques for the Dixon and Macaulay resultants
Mathematics and Computers in Simulation
Reversing a polyhedral surface by origami-deformation
European Journal of Combinatorics
WSEAS Transactions on Computers
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Distance geometry provides us with an implicit characterization of the Euclidean metric in terms of a system of polynomial equations and inequalities. With the aid of computer algebra programs, these equations and inequalities in turn provide us with a coordinate-free approach to proving theorems in Euclidean geometry analytically. This paper contains a brief summary of the mathematical results on which this approach is based, together with some examples showing how it is applied. In particular, we show how it can be used to derive the topological structure of a simple linkage mechanism.