PPT-Math 22 – Linear Algebra and its applications

Math 22 Linear Algebra and its applications Instructor Bjoern Muetzel Applications NETWORKS MARKOV CHAINS AND GOOGLES PAGE RANK ALGORITHM Summary Transitions or flows in networks. Calculus Functions of single variable Limit con tinuity and differentiability Mean value theorems Evaluation of definite and improper integrals Partial derivatives Total derivative Maxima and minima Gradient Divergence and Cu rl Vector identities D Calculus Functions of single variable Limit con tinuity and differentiability Mean value theorems Evaluation of definite and improper integrals Partial derivatives Total derivative Maxima and minima Gradient Divergence and Curl Vector identities Di e Ax where is vector is a linear function of ie By where is then is a linear function of and By BA so matrix multiplication corresponds to composition of linear functions ie linear functions of linear functions of some variables Linear Equations Calculus Mean value theorems Theorems of integral calculus Evaluation of definite and improper integrals Partial Derivatives Maxima and mini ma Multiple integrals Fourier series Vector identities Directional derivatives Line Surface and Volume integ Calculus Mean value theorems Theorems of integral calculus Evaluation of definite and improper integrals Partial Derivatives Maxima and minima Multiple integrals Fourier series Vector identities Directional derivatives Line Surface and Volume integ Hermitian skewHermitian and unitary matriceseigenvalues and eigenvectors diagonalisation of matrices CayleyHamilton Theorem Calculus Functions of single variable limit continuity and differentiability Mean value theorems Indeterminate forms and LHos Redesigning Developmental Math Courses for Success. Broward College Presenters:. Kelli Hammer, Professor and Developmental Ed. Coordinator of Mathematics. Alan Lebovitz, Associate Dean of Mathematics – North Campus. (what is that?). What . is linear algebra? Functions and equations that arise in the "real world" often involve many tens or hundreds or thousands of variables, and one can only deal with such things by being much more organized than one typically is when treating equations and functions of a single variable. Linear algebra is essentially a ". Anne Watson. Winchester 2014. Big issues (for today). Algebra. Division. What is algebra?. What are the pre-algebraic and algebraic experiences appropriate for primary children?. ACME comments. Expectations of algebraic thinking could be based on reasoning about relations between quantities, such as patterns, structure, equivalence, . Fall 2010. Sukumar Ghosh. Boolean Algebra. In 1938, Shannon showed how the basic rules of logic. first given by George Boole in his 1854 publication . The Laws of Thought. , can be used to design circuits. Chris Lomont. April 6, 2011, EMU. Chris Lomont. Research Engineer at Cybernet Systems. Ann Arbor. Uses math from arithmetic level through PhD coursework every day . also computer science, physics. Hired originally to do quantum computing. Test Design. Performance Level Indicators. Algebra 1 . Keystones. Eligible Content – Test Design – Performance Level Indicators. Ms. Clarkson. Ms. . Hetrick. Ms. Sirio. Eligible Content. Eligible . 1. Chapter Content. Determinants by Cofactor Expansion. Evaluating Determinants by Row Reduction. Properties of the Determinant Function. A Combinatorial Approach to Determinants. 2014/1/19. Elementary Linear Algebra. and . Vector Calculus . and . Calculus of several Variables. Details of the Course M - 107. Math - 107 . Vectors and Matrices (3+0) credit-hours.. 1438– 1439 . H. 2. Dr.Khawaja. Zafar . Elahi.