function [varargout]=ellipsefit(x,y) %ELLIPSEFIT Stable Direct Least Squares Ellipse Fit to Data. % [Xc,Yc,A,B,Phi,P]=ELLIPSEFIT(X,Y) finds the least squares ellipse that % best fits the data in X and Y. X and Y must have at least 5 data points. % X
! ! Unigraphics Modeling Application Menu File ! ! ! VERSION 120 UG6.0 ! *************** Changes to the Menubar itself *************** EDIT UG_GATEWAY_MAIN_MENUBAR ! *************** Format Menu *************** AFTER UG_ARRANGE_GROUP BUTTON UG_MODELI
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate statistical models. Graphical models have become a focus of research in ma
Preface xv Introduction xvii Mathematical Notation xix Pseudo-Code xxi Contributors xxvi 1 2D GEOMETRY Useful 2D Geometry 3 Trigonometry Summary 12 Useful Trigonometry 13 Trigonometric Functions at Select Points 18 Triangles 20 Generating Random Poi
Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and semidefinite programming. The authors present the basic theory underlying these problems as well as their nume
% We will try to fit the best ellipse to the given measurements. the mathematical % representation of use will be the CONIC Equation of the Ellipse which is: % % Ellipse = a*x^2 + b*x*y + c*y^2 + d*x + e*y + f = 0 % % The fit-estimation method of us
Chapter 1. Basic Optics and Optical System Specifications 1 The Purpose of an Imaging Optical System 1 How to Specify Your Optical System: Basic Parameters 4 Basic Definition of Terms 11 Useful First-Order Relationships 15 Chapter 2. Stops and Pupil
