[PDF.ePUB.MOBI] Introduction to Linear Algebra Author Gilbert Strang – serv3.3pub.co.uk

[PDF.ePUB.MOBI]  Introduction to Linear Algebra Author Gilbert Strang – serv3.3pub.co.uk ❰Read❯ ➫ Introduction to Linear Algebra Author Gilbert Strang – Serv3.3pub.co.uk This informally written text provides students with a clear introduction into the subject of linear algebra Topics covered include matrix multiplication row reduction matrix inverse orthogonality and This informally written text provides students with a clear introduction into the subject of linear algebra Topics covered include matrix multiplication row reduction matrix inverse orthogonality Introduction to PDF/EPUB or and computation The self teaching book is loaded with examples and graphics and provides a wide array of probing problems accompanying solutions and a glossary Chapter Introduction to Vectors; Chapter Solving Linear Euations; Chapter Vector Spaces and Subspaces; Chapter Orthogonality; Chapter Determinants; Chapter Eigenvalues and Eigenvectors; Chapter Linear Transformations; Chapter Applications; Chapter Numerical Linear Algebra; Chapter Complex Vectors and Matrices; Solutions to Selected Exercises; Final Exam Matrix Factorizations Conceptual uestions for Review Glossary A Dictionary for Linear Algebra Index Teaching Codes Linear Algebra in a Nutshell.

10 thoughts on “Introduction to Linear Algebra

  1. Valerie Valerie says:

    I'm having a hard time identifying with the main characters

  2. Jon Gauthier Jon Gauthier says:

    Ah what a beautiful pictureI love this book The attraction comes I think partly from the beauty of the subject but also partly from the clean way in which Strang packages all of his mathematical expositions I spent many a nerdy weekend morning with this book and the OCW lecturesWhich brings me to the second most important point that I'd like to get across in this review you need to pair this book with MIT OpenCourseWare's Linear Algebra lectures also coincidentally taught by the magnificent Strang They're all freely available on the OCW site or on YouTube These follow the book very closely and are indispensable—Strang is an even better lecturer than he is a writer Some friends complain of a certain Strang speak in his book a certain awkwardness with words that sometimes obscures a point I can understand these gripes and this is why the lectures are really absolutely necessary until one has adjusted to the writing styleThe most important point of course is that I think you should read this book Linear algebra as portrayed by this book is a really beautiful field—much cleaner and often intuitive than other areas at the same level calculus differential euations etc It will activate a new part of your mind and give you new ways to visualize problems in other domains 1 This book reminded me of the value of math when other textbooks and other classes sometimes failed to do so Give this book a try—it will change your mindFootnotes1 As a programmer this book has opened up new opportunities for me I can now talk fluently about the machinery behind least suares problems neural networks etc and I can now explore advanced parts of machine learning data mining computational statistics etc etc Absolutely worth it

  3. Abbey Abbey says:

    this is the worst textbook i've ever read it was completely useless in learning the course avoid at all costs Linear Algebra A Modern Introduction by Poole is much better

  4. Taka Taka says:

    I read this in conjunction with MIT's OCW Scholar class and did all the problem sets and took the tests Took me some time to finish the course but it was surprising to find how fun linear algebra can be I mean matrices and vectors? They weren't nearly sexy as curvy double integrals multivariable calculus or kinky Markov chains probability theory And I took the course only because linear algebra was indispensable for making a headway into mathematical statistics probability theory and other higher branches of math But I have to admit I kind of started liking this dowdy branch of math for its plain elegance You have to admit it's SO plain Just look at the cover Suares and rectangles? Are we in elementary geometry here? Euclid is like so played out BUT there's some sexiness here if you look closely Gaussian elimination projections eigenvalues and eigenvectors diagonalization and the crux of it all single value decomposition yes I know I'm shamelessly showing off a little here because I genuinely think these are cool sounding and actually practical concepts True to their reputation Professor Strang's video lectures are golden—there was one with a bad camera and another that was hard to follow but that's like 2 out of 33 lectures The rest were crystal clear and made the subject sound a bit too easy The book on the other hand was less clear and less useful as it keeps bringing up new concepts ahead of time and doesn't give motivating explanations for the material I'm still a little iffy on why diagonalization is useful how the particular solution is related to special solutions in solving Ax b or how single value decomposition can be applied for example The biggest problem with this book is well the problem sets They are really not all that helpful He should have at least included uestions from other sections for greater learning and basic uestions just to let the students practice the mechanics of the concepts They were also justdisappointingly easy Compared to say Blitzstein's excellent but difficult probability theory online class the uestions were either trivially abstract or too basic to be of any challenge to contribute to solid learning experience Overall though I would definitely recommend this textbook along with his lectures but I'd complement it with a rigorous textbook andor online course which I'm planning on doing with Sheldon Axler's Linear Algebra Done Right and Paul Halmos's Linear Algebra Problem Book I did get a good grasp of the field though far from mastery and it was well worth the effort

  5. calavera calavera says:

    I skimmed through the book for the review of linear algebra I am not satisfied with the exposition it's messy Author obviously tried to make the thematic as close as possible to the novices but in the process he created a style that will not satisfy someone adjusted to usual mathematical flow of exposition Concept presentation is asking for the intuition than precision and playing on empirical pathway to explaining with often than not concepts used before giving the definition Anyways this book might be of use to the newcomers to linear algebra and math in general as this style might be just what they are looking for The book does a great job at introducing applications of linear algebra and there lies it's great value

  6. Myat Thu Myat Thu says:

    I found this as a reference book while I was studying Linear Algebra in 1806 OCW Before Stang's book and his 1806 class all I know about Linear Algebra was some linear euations and some matrices But Stang showed the beautiful picture of Linear Algebra in this book Graphs and Networks Systems of Differential Euations Least Suares and Projections and Fourier Series and the Fast Fourier Transform are mainly focused

  7. Lê Quang Chung Đăng Lê Quang Chung Đăng says:

    easy to read easy to understand with lots of examples although not rigorous enough for a math major For a thorough treatment of linear algebra I recommend Appendix B of Abstract Algebra Clive Reis

  8. Kenta Suzuki Kenta Suzuki says:

    A good book as a supplement to the MIT 1806 video lectures I personally prefer Linear Algebra and Its Applications by David C Lay over this one because of the pictures and a treatment a chapter of affine space which is not included in this Gilbert Strang's book

  9. javier javier says:

    everything in this book is crystal clear not once was i left with a misunderstanding of the concept at hand it also made me think that linear algebra is fun ;

  10. Saurabh Jha Saurabh Jha says:

    I read the South Asian edition of this book I also used to watch Prof Strang's lectures from great thing about this book is Prof Strang provides intuition into a very abstract topic The way he did that is by using examples to illustrate the concepts Some concepts in particular for example linear subspaces and least suares are beautifully explainedI think the greatest thing I got from this book is this example based thinking to increase my intuition into what would be very abstract topics Now whenever I have difficulty understanding some idea or a problem I draw an example Unfortunately I think Prof Strang went too far with this approach and it failed for Eigenvalues and Eigenvectors There were two major problems One he changed the viewpoint of a matrix multiplication suddenly and without warning from the combination of vectors to an application of an operator Two the theorems of eigenvalues and eigenvectors which include some very important results for symmetric matrices are proved in a very obscure way I was relieved after I finished that section because it was just painful to go through it The way I learned eigenvectors was to essentially reconstruct from the fragments in the bookAlso I feel that the book is not very clear by itself and is supposed to be used with lectures Prof Strang jumps right into the topic in nearly every section without any background or motivationOverall despite some shortcomings I think this is a brilliant introduction to linear algebra Whether your motivation is to apply linear algebra to some problem or to go into abstract parts this book is a great starting point

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