# Lecture12 - Engineering Analysis ENG 3420 Fall 2009 Dan C...

This preview shows pages 1–5. Sign up to view the full content.

Engineering Analysis ENG 3420 Fall 2009 Dan C. Marinescu Office: HEC 439 B Office hours: Tu-Th 11:00-12:00

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
2 Lecture 12 Lecture 12 ± Last time: ² Optimization ± Golden ratio Æ makes one-dimensional optimization efficient. ± Parabolic interpolation Æ locate the optimum of a single-variable function. ± fminbnd function Æ determine the minimum of a one-dimensional function. ± fminsearch function Æ determine the minimum of a multidimensional function . ² Heuristics for solving search/optimization problems ± Today: ² Problem solving in preparation for the quiz ² Linear Algebra Concepts ± Vector Spaces, Linear Independence ± Orthogonal Vectors, Bases ± Matrices ± Next Time ² Gauss elimination
Matrices ± M atrix Æ a rectangular array of elements, e.g., [A]. An element of the matrix e.g., a 23. ± The size of a matrix is given as m rows by n columns, or simply m by n (or m x n ). ± 1 x n matrices are row vectors . ± m x 1 matrices are column vectors.

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Special Matrices ± Matrices where m = n are called
This is the end of the preview. Sign up to access the rest of the document.

### Page1 / 9

Lecture12 - Engineering Analysis ENG 3420 Fall 2009 Dan C...

This preview shows document pages 1 - 5. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online