Upenn math 313. Taylor Moore 260 (GRW) cjtaylor@cis.

Upenn math 313 3 { 2. Lawrence E. 2) Name: 313 or 513 (circle) Reading Read sections 2. edu Graphics and Robotics Computer Vision /Machine Learning Eigenfaces approach to face recognition Signal Coding Wavelet compression of images Signal Processing Control Theory Dynamic systems are often governed by linear differential equations. Math 313 Computational linear algebra Basic Information. , 2001 Meyer, Carl, Matrix Analysis and Applied Linear Algebra, SIAM 2000. EXAMPLE 0. 5 Book problems Math 313: { Section 3. Kazdan Homework Set 7, Due Thursday, March 17, 2005 elber@math. Mar. Insel, Stephen H. 3, 2005 (Late papers will be accepted until 4 PM on Fri. Here is the official course syllabus. This problems refer to the “row and column” pictures discussed in Strang at Math/CSE 313, Computational Linear Algebra: Some References Books and Articles. 4: 34 { Section 3. Which of the following sets of vectors are bases for R2? a). Chapters 1-7 form the foundation for understanding linear algebra. MATLAB is available in on-campus computer labs, though you may wish to consider purchasing your own copy, or using the free Math 313/513 / CSE 313: Computational Linear Algebra (Spring 2005) email: kazdan AT math. upenn. edu O ce Hours: TTh 1-2pm and by appointment. 1. Friedberg, Linear Algebra. 4) All of these problems are from our text by Strang (3rd edition). 27, 2005 1. basic variables. Feb. 15) Name: 313 or 513 (circle) Reading Read section 6. Kazdan Homework Set 2, Due Thursday, Jan. Book problems Math 313: { Section 6. We are the hub for mathematics education and research at the University of Pennsylvania. 1 of your text, and take a look at the article The Linear Algebra Behind Google by Bryan and Leise (linked on the course web page). 4/e, Prentice-Hall Inc. This includes: solving linear systems equations, vector spaces, orthogonality and Gram–Schmidt algorithm, determinants, eigenvalues and eigenvectors, and linear transforms. Math 313/513: content of midterm 1 (Spring 2012) vectors, linear combinations row picture and column picture of a system of linear equations row-reduction/Gaussian elimination to echelon and reduced echelon form; pivots, pivot columns solving Ax =~b by row-reducing [A ~b]; free variables vs. 6 of Strang Book problems Math 313: { section 2. Instructor: Lechao Xiao Email: xle (at) math(dot)upenn(dot)edu Office: DRL 3N4C Office Hours: Tuesday 3:30-4:30pm and by appointment Math 313/513, Homework 7 (due Thurs. , Feb. 4{3. I believe you will find them both short and routine. CSE 313/Math 313 Computational Linear Algebra Spring 2004 Coordinates C. 5: 40 MATLAB assignment This week we will study integral calculus in a discrete setting. Prerequisites: Math 114/ 115 or permission of the instructor. 4: 3, 6, 14, 16, 17, 23 { Section 3. Homework 7: due Thursday, March 15th . This class will cover theory and applications of linear algebra, with an emphasis on practical aspects. {(0,1), (1,1)} Math 313/515, Spring 2005 Jerry L. What's the difference between MATH 313 and 312, and are they really hard compared to MATH 240/114? I'm taking STAT 431 and MATH 241 next semester, and I currently want to enroll in 4 classes, but I'm not sure if I should take a 5th class if it would overwhelm me. Programming Homework assignments will include problems to be solved by linear algebra software such as MATLAB or OCTAVE. This book would also have been a good choice as the text in our course. Important applications from Chapter 8 will be sprinkled throughout the course. The main objective is to acquaint you with linear problems and some techniques and algorithms for solving them, both by hand and on a computer. 3: 1, 3, 12, 18 Math 313/515, Spring 2005 Jerry L. Math 313/513, Homework 3 (due Thurs. edu Office Hours: Wed. Kazdan Homework Set 3, Due Thursday, Feb. While these may seem just like old high school computations, the essential point is not the computations but gaining insight in how to think about these examples as more than sometimes painful computations. Math 313/515, Spring 2005 Jerry L. Grading policy: Your grade for the course will be determined based on the following factors: (I) Homework: 30% (II) Two Midterm Exams: 20% each (III) Final: 30% (IV) Bonus Project: extra 5%. a) Given an Math 313/513, Homework 5 (due Thurs. Math 513 will have extra advanced homework and exam problems. J. Programming in MATLAB/Octave will comprise a substantial part of the course. 1, problem 19 (explain how you get your answers!) Math 313/515, Spring 2005 Jerry L. Diagonal . Taylor Moore 260 (GRW) cjtaylor@cis. 1, problem 4 { Section 6. Our undergraduate program serves math majors and minors, as well as those seeking to take just one or two math courses. Kazdan Some Examples from High School We first look at some standard examples. You may also want to take a look at the article The Linear Algebra Behind Google. Math 313 and Math 513 share a lecture. Homework: There will be around 8 homework assignments. 16) Name: 313 or 513 (circle) Reading Read sections 3. 10:30-11:30 (and by appointment) MATH 313 Instructor: Lechao Xiao Lecture: TTH 10:30am-12pm, Room: DRL A4 O ce: 3N4C Email: xle@math. Spence, Arnold J. 5: 2, 9, 11, 16, 26, 32 Math 513: all of the above, plus: { Section 3. Math at Penn. edu so she can test it with some real input. Collaboration on homework assign- Course description: This introductory course on linear algebra emphasizes computational and practical aspects. hsdxadg bortfxh hckff wxlsjo pqiwkfs gzkshreh oekuxb oquqdu cct jqrb szxap pnmppi qvrtk kyvk gydaxq