# linear algebra nptel youtube

Eigenvalues and eigenvectors, quadratic forms, orthogonal matrices, diagonalization of symmetric matrices. Linear Algebra by Dr. K.C. DIGIMAT is an advanced HTML-5 based Video Learning Platform for Streaming 70,000+ HD Quality NPTEL Video Lectures in Smart Devices. Lecture 2. NPTEL provides E-learning through online Web and Video courses various streams. Triangulability, Diagonalization in Terms of the Minimal Polynomial, 32. Watch Queue Queue Linear Algebra Course Objective This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines. Hello guys! Linear Functionals, 47. Unitary operators II. Row-reduced Echelon Matrices and Non-homogeneous Equations, 6. I am a graduate student in Economics, and I have just failed my Calc II class (well, not like super-failed, but got a D). Game Theory: Tom Ferguson's Game Theory. The main idea of the course is to emphasize the concepts Second homework Solutions to second homework. nptel linear algebra notes pdf, LINEAR ALGEBRA GABRIEL NAGY Mathematics Department, Michigan State University, East Lansing, MI, 48824. Don't show me this again. It is also a required class in many college degrees. Lecture 1 is in three parts: part a, part b, and part c. First homework Solutions to first homework. As the title implies, it covers the basics of linear algebra. Ordinary Differential Equations and Applications. Self-Adjoint Operators II - Spectral Theorem. The Rank-Nullity-Dimension Theorem. Linear Algebra: Bretscher's Linear Algebra with Applications. Coursera: Mathematics for Machine Learning: Linear Algebra [Imperial College London] Assignment Solutions WEEK [1 – 5 ] Posted on September 12, 2020 September 12, 2020 by admin Programming Assignment: Identifying special matrices Sign in. Lecture 1 - Matrix Operations and Types of Matrices. Projection Theorem. Equivalent Systems of Linear Equations I: Inverses of Elementary Row-operations, Row-equivalent matrices, 3b. ... Advanced Matrix Theory and Linear Algebra for Engineers. Linear Algebra is a foundational subject in Mathematics which is of fundamental importance in the development of almost every branch of Mathematics, Theoretical Physics and Computer Science. FREE. This is a collection of audio/video courses and lectures in mathematics and its applications from educational institutions around the world, covering algebra, calculus, discrete mathematics, history of mathematics, linear algebra, numerical analysis, and probability and statistics. The Primary Decomposition Theorem and Jordan Decomposition, 38. I personally believe that many more people need linear algebra than calculus. If you're behind a web filter, please make sure that the domains *.kastatic.org and *.kasandbox.org are unblocked. Linear Algebra is a type of mathematics that is used in advanced game development, statistical programming, mathematical programming, and more. Elementary Properties in Vector Spaces. Nevertheless, I hope that this resource would be very helpful for mathematics and physics students, especially those who are interested in Theoretical Physics, or/ and Pure Mathematics. Best Approximation: Least Squares Solutions, 44. Introduction to the Course Contents. So in this tutorial we shall be taking a tour of the aspects of linear algebra which you would need for the course. Independent Subspaces and Projection Operators, 33. The Dual Space. 111108066. Sign in to like videos, comment, and subscribe. Linear Algebra. Dual Basis II. Equality of the Row-rank and the Column-rank II, 19. 50. Linear … Related Courses. Learn linear algebra for free—vectors, matrices, transformations, and more. Orthogonal Complementary Subspaces, Orthogonal Projections, 45. Subspaces, Linear Dependence and Independence, Sums, Direct Sums and Gaussian Elimination, Null space, Range, Fundamental theorem of linear maps, Column space, null space and rank of a matrix, Translates of a subspace, Quotient Spaces, Coordinates and linear maps under a change of basis, Simplifying matrices of linear maps by choice of basis, Invariant subspaces, Eigenvalues, Eigenvectors, More on Eigenvalues, Eigenvectors, Diagonalization, Eigenvalues, Eigenvectors and Upper Triangularization, Linear state space equations and system stability, Discrete-time Linear Systems and Discrete Fourier Transforms, Dot product and length in Cn, Inner product and norm in V over F, Orthonormal basis and Gram-Schmidt orthogonalisation, Linear Functionals, Orthogonal Complements, Linear equations, Least squares solutions and Linear regression, Adjoint of an Operator and Operator-Adjoint Product, Quadratic Forms, Matrix Norms and Optimization, Singular Values and Vectors of a Linear Map, Polar decomposition and some applications of SVD. A good understanding of the subject is also crucial to the study of most Engineering disciplines and many problems in Social Sciences. Inner Product Space Isomorphism, SELF-ADJOINT, NORMAL AND UNITARY OPERATORS. Basic subject on matrix theory and linear algebra, emphasizing topics useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices. 15 . Similarity Transformation, 21. You may find the lectures more exciting when you watch them at 1.5x or 2x the normal speed (keeping the pitch of your voice constant). We have released a 20-hour Linear Algebra course on the freeCodeCamp.org YouTube channel. If yes, then you are at right place. These notes present a basic introduction to linear algebra with emphasis on few applications. 49. squares methods, basic topics in applied linear algebra. The QR Decomposition. Subspace Annihilators I, 24. The Gram-Schmidt Procedure I. Applications. Elementary Matrices, Homogeneous Equations and Non-homogeneous Equations, 7. 41. Lecture 3. Matrix for the Composition and the Inverse. We look at vectors, matrices, determinants, change of bases, row reduction, lines and planes, polynomial spaces, bases and coordinate vectors, and much more! Bessel's Inequality, Parseval's Indentity, Best Approximation, 43. The Transpose of a Linear Transformation. 111108081. These are the lecture notes for the course MTH 415, Applied Linear Algebra, a one semester class taught in 2009-2012. Lectures are arranged in random order as I am a bit lazy to re-arrange them after compiling all the links. Subspaces, 10. The Double Dual. Matrices of a Linear Transformation and its Transpose, 26. Adv Discrete Math (this focused on automatas and Turing machines): Linz's Formal Languages and Automatas. Linear algebra is a branch of mathematics that studies systems of linear equations and the properties of matrices. Direct Sum Decomposition and Projection Operators II, PRIMARY AND CYCLIC DECOMPOSITION THEOREMS, 35. A Characterization, 31. Some lecture notes I once prepared on this material may be found here (Note: These talks can be viewed most easily with a VLC player.) Linear Algebra is one of the fundamental tools that has applications in diverse ... His popular video lectures for the NPTEL(National Programme on Technology Enhanced Learning) course on Advanced 3G and 4G Wireless Mobile Communications can found at the following YouTube link ( NPTEL 3G/4G ). Self-Adjoint Operators I. Many people watch the lecture videos on YouTube: Lectures by Gil Strang: MIT 18.06 (Spring 2005) on YouTube - scroll to bottom of this page for overview of videos by topic. External resources on our website read text content ( pdf ) of all videos which helps you save. Nptel course ID, course Name, lecture Title, Coordinator THEOREMS, 35 of linear algebra nptel youtube linear and. 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