'Orthogonal transformation' diaporamas de présentation

Chapter 12: Smoothing Data and Least Squares Motivation: Solve Ax = b when A is not square

Chapter 12: Smoothing Data and Least Squares Motivation: Solve Ax = b when A is not square. Example: fit y = ax + b to m data points Find unknown a and b that minimize sum of squared residuals. If know uncertainty in data, make the fit best where the uncertainty is least.

575 views • 48 slides

Factor Analysis, Part 2

401 views • 23 slides

Ernesto Gomez PhD, Yasha Karant PhD, Veysi Malkoc, Mahesh R. Neupane ,

Orthogonal and Least-Squares Based Coordinate Transforms for Optical Alignment Verification in Radiosurgery. Ernesto Gomez PhD, Yasha Karant PhD, Veysi Malkoc, Mahesh R. Neupane , Keith E. Schubert PhD, Reinhard W. Schulte, MD. ACKNOWLEDGEMENT. Henry L. Guenther Foundation

176 views • 17 slides

The Spinning Top

The Spinning Top. Chloe Elliott. Rigid Bodies. Distance between all pairs of points in the system must remain permanently fixed. Six degrees of freedom:. ? 3 cartesian coordinates specifying position of centre of mass ? 3 angles specifying orientation of body axes.

694 views • 14 slides