Here is the full list of best reference books on Numerical Methods.
We have put a lot of effort into researching the best books for reference on this subject and came out with a recommended list of best books. The table below contains a review of these books and links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these books; the table serves as a ready reckoner list of these best books.
|1. “The Algebraic Eigenvalue Problem” by J H Wilkinson
Book Review: This is the most widely used textbook in the field of numerical analysis. The book stresses more on the knowledge transmission rather than the elaborate proofs. This book is of great use to the practicing numerical analysts, students and researchers in the field of numerical analysis, engineers and scientists. The book also discusses the questions of sensitivity, economy and stability of many numerical methods in a manner that is accessible to all the engineers and scientists.
|2. “An Introduction to Numerical Analysis” by K E Atkinson
Book Review: This book sticks to the organization of original edition but the other sections in the book. The various topics in the book include optimization, trigonometric interpolation and fast fourier transform, numerical differentiation, method of lines, boundary value problems, conjugate gradient method and the least squares solutions of systems of linear equations. The book also contains numerous problems with solutions. The bibliographies in the book have also been updated.
|3. “Matrix Computations” by G E Golub and C F Van Loan
Book Review: The book provides information about the algorithmic skills and mathematical background that is required for the production of numerical software. The book also contains refined chapters on matrix multiplication problems, parallel matrix computations, CS decomposition, floating point arithmetic, modified gram-schmidt process and many other methods that are designed to handle sparse unsymmetric linear system problems. This book is useful for workers in numerical linear algebra. The book also contains new topics like arnoldi iteration, domain decomposition methods and hyperbolic downdating.
|4. “Numerical Methods” by Shishir Gupta and Shukhendu Dey|
|5. “Numerical Methods for Scientific and Engineering Computation” by Mahinder Kumar Jain|
|6. “Numerical Methods in Engineering & Science: with Programs in C and C++” by B S Grewal|
|7. “HANDBOOK OF SINC NUMERICAL METHODS” by FRANK STENGER|
|8. “Numerical Methods In Science And Engineering” by S Rajasekaran|
|9. “Dynamical Systems Method and Applications” by S Hoang|
|10. “Numerical Methods and Software Tools in Industrial Mathematics” by Morton Daehlen|
People who are searching for Free downloads of books and free pdf copies of these books – “The Algebraic Eigenvalue Problem” by J H Wilkinson, “An Introduction to Numerical Analysis” by K E Atkinson, “Matrix Computations” by G E Golub and C F Van Loan, “Numerical Methods” by Shishir Gupta and Shukhendu Dey, “Numerical Methods for Scientific and Engineering Computation” by Mahinder Kumar Jain, “Numerical Methods in Engineering & Science: with Programs in C and C++” by B S Grewal, “HANDBOOK OF SINC NUMERICAL METHODS” by FRANK STENGER, “Numerical Methods In Science And Engineering” by S Rajasekaran, “Dynamical Systems Method and Applications” by S Hoang, “Numerical Methods and Software Tools in Industrial Mathematics” by Morton Daehlen – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.
We have created a collection of best reference books on “Numerical Methods” so that one can readily see the list of top books on “Numerical Methods” and buy the books either online or offline.
If any more book needs to be added to the list of best books on Numerical Methods Subject, please let us know.
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