Best Reference Books – Numerical Methods

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We have compiled a list of Best Reference Books on Numerical Methods Subject. These books are used by students of top universities, institutes and colleges.

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.

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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.

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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

“Numerical Methods” Book Review: This book is best for enhancing numerical approach and dealing with different types of problems of interpolation, approximation, integration and differentiation, linear systems, eigenvalues and eigenvectors. It can also be used as a textbook to enhance the study of students towards mathematics. The book is suitable for undergraduate students of all branches and for mathematics scholars. The chapters give a clear view of numerical approach and with very adequate information.

5. “Numerical Methods for Scientific and Engineering Computation” by Mahinder Kumar Jain

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“Numerical Methods for Scientific and Engineering Computation” Book Review: This book gives a clear cut and straight forward idea about the numerical analysis of methods, topics, and algorithms. The book is an updated and revised edition, with several important topics for students. The topics featured in this book are precise and deliver content in a perfect understandable manner.

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

“Handbook of Sinc Numerical Methods” Book Review: The book is an updated and revised piece of work featuring latest theory and recent developments in numerical approach towards mathematics and computer science. This book covers all the important numerical problems in the field of mathematics, computer science, and engineering. The chapters of the book cover all important topics from partial differential to integration. The book is good for students of computer science, or engineering background. The book also covers MATLAB programs.

8. “Numerical Methods in Science and Engineering” by S Rajasekaran

“Numerical Methods In Science And Engineering” Book Review: The book covers both theoretical as well as practical aspects of various methods for solving large problems of mathematics. It consists of various coded programs and algorithms to discuss the topics like large number of equations, large value of eigenvalue problems and nonlinear algebraic equations in various languages. The book is best designed for programmers to go through various methods and learn those needed. This book created a way to think in a better logical way.

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9. “Dynamical Systems Method and Applications” by S Hoang

“Dynamical Systems Method and Applications” Book Review: The book provides information about the Dynamical system method for solving operator information problems. It gives a clear cut and straightforward idea about the linear and non linear problems. The book also contains various real time applications. This book is good to learn various applications of operators. The chapters in this book cover DSM applications of a broad range of problems in science and engineering and their solutions.

10. “Numerical Methods and Software Tools in Industrial Mathematics” by Morton Daehlen

“Numerical Methods and Software Tools in Industrial Mathematics” Book Review: The book is written from both theoretical as well as practical point-of-view and aims in presenting latest information on abstract saddle point problems. The topics like geometric modelling, triangulations, surface and variable resolution, open surface, and sorting are discussed in detail. The topics are written according to the varying geographical requirements of various regions. For providing practical and relatable content the book features many site studies. The book will be suitable for the undergraduate and postgraduate students along with the practicing engineers of geotechnics.

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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Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn