Workshop on Real Algebraic Geometry and Algorithms for Geometric Constraint Systems

Workshop on Real Algebraic Geometry and Algorithms for Geometric Constraint Systems

Fields Institute via YouTube Direct link

Invariant Theory for Maximum Likelihood Estimation

14 of 23

14 of 23

Invariant Theory for Maximum Likelihood Estimation

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Classroom Contents

Workshop on Real Algebraic Geometry and Algorithms for Geometric Constraint Systems

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  1. 1 Snappability and singularity-distance of frameworks
  2. 2 On the geometric definition of hinge mechanisms and Kempe's theorem
  3. 3 Reconstructing a room from noisy echoes
  4. 4 Globally optimal solution to inverse kinematics of a serial manipulator with 7 degrees of freedom
  5. 5 Computing Pure Conditions in Edge Coordinates
  6. 6 Challenges in Discrete Geometry - Part I: Convex polytopes
  7. 7 A convex form that is not a sum of squares
  8. 8 A geodesic interior-point method for linear optimization over symmetric cones
  9. 9 Numerical computation of monodromy action over R
  10. 10 New Directions in Cylindrical Algebraic Decomposition
  11. 11 Global Optimization via the Dual SONC Cone and Linear Programming
  12. 12 Flexible quad-surfaces and elliptic functions
  13. 13 Zero-sum cycles: a necessary condition for the flexibility of polyhedra
  14. 14 Invariant Theory for Maximum Likelihood Estimation
  15. 15 Determinantal representations and the principal minor map
  16. 16 Challenges in Discrete Geometry - Part II: Helly type problems
  17. 17 A new line-symmetric mobile infinity-pod
  18. 18 Sum-of-Squares proofs of logarithmic Sobolev inequalities on finite Markov chains
  19. 19 Rigidity with few locations
  20. 20 Polynomial time guarantees for the Burer-Monteiro method
  21. 21 How to construct any weakly infeasible semidefinite program and bad projection of the psd cone?
  22. 22 On the central path of semidefinite optimization: degree and worst-case convergence rate
  23. 23 Challenges in Discrete Geometry - Part III: Frameworks

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