Adjustment Computation I

At the end of this course, students should be able to: 1. demonstrate good knowledge of sources, propagation and treatment of errors; 2. carry out survey network adjustment using elementary (i. e. non-least squares) techniques; 3. differentiate between linear and non-linear models and linearization of non-linear model; and 4. apply direct and indirect methods of solving systems of linear equations.

Review of matrix algebra. Theory and propagation of errors. Principles and methods of survey network adjustment. Non-least squares adjustment methods like Bowditch, transit, equal shift and unaltered bearing adjustment methods. Braced quadrilateral and centered polygon adjustment. Linear and nonlinear models, Linearization. Methods of solving systems of linear equations: Direct (ad joint, crammer, elimination/substitution, bordering, Cholesky) methods and indirect or iterative (Jacobi, Gauss-Siedel, SOR) methods. Introduction to least squares adjustment.