There are lots of great material on Numerical Methods subject in the internet, buts its always a challenge to figure out a ready list of top books on Numerical Methods that one can refer to immediately. Even though online materials are good, but nothing can beat the depth of coverage that a book can offer. Hence, we researched the list of Numerical Methods books which are used by students worldwide and came up with top 10 Book Recommendations on Numerical Methods subject. These books can be used as a great starting point for anyone studying Numerical Methods and can also be used as a ready reference for Under-Graduate and Post-Graduate programs.
Most of these Numerical Methods books are also in the best-seller lists in Amazon website. We have added a brief description of these best books and have also included direct links to Amazon site (as affiliate). This allows anyone to directly visit the site and order printed copies of these best books.
Here is the full list of best reference books on Numerical Methods.
|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, 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|
If any more book needs to be added to the list of best books on Numerical Methods Subject, please let us know.
Sanfoundry Global Education & Learning Series – Best Reference Books!