Kindly note that we have put a lot of effort into researching the best books on Numerical Methods In Civil Engineering subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Numerical Methods In Civil Engineering" as well as 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 top 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 book in the field of numerical analysis. The book provides a distillation of author’s famous discoveries in the field of computation of matrix eigen values. The book also stresses more on the transmission of knowledge rather than lengthy proofs. This book is very useful to the numerical analysts, students, researchers, engineers and scientists in the field of numerical analysis and who are dealing with algebraic eigen value problem.


2. “An Introduction to Numerical Analysis” by K E Atkinson
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“An Introduction to Numerical Analysis” Book Review: The book is fully updated and revised piece of writing along with some new topics and concepts. The topics like optimization, trigonometric interpolation, fast Fourier transform, numerical differentiation, the method of lines, boundary value problems, the conjugate gradient method, and the least squares solutions of systems of linear equations are thoroughly explained. The book also discusses error along with its sources, propagation, and analysis. Moving on, root finding for nonlinear equations, interpolation theory, approximation of functions, numerical integration, numerical methods for ordinary differential equations, linear algebra, numerical solution of systems of linear equations, the matrix eigenvalue problems are featured. The book consists of both solved and unsolved problems.


3. “Matrix Computations” by G E Golub and C F Van Loan
“Matrix Computations” Book Review: The book focuses on mathematical concepts and algorithmic skills necessary for working on numerical software. The chapters of this book are based on matrix multiplication problems and parallel matrix computations, CS decomposition, floating point arithmetic, and modified GramSchmidt process. Some modern methods and techniques like GMRES and QMR are introduced for dealing with unsymmetric linear system problems. The content of the book is uptodate and compact. The book will be useful for the students interested in matrix computations.
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4. “Numerical Recipes in C: The Art of Scientific Computing” by W H Press
“Numerical Recipes in C: The Art of Scientific Computing” Book Review: The book is a wellstructured and updated text majorly based on scientific computing. The theoretical and mathematical concepts given in the book are explained from a practical point of view. The topics like linear algebra, interpolation, special functions, random numbers, nonlinear sets of equations, optimization, eigensystems, Fourier methods and wavelets, statistical tests, ODEs and PDEs, integral equations, and inverse theory are described. The updated section of the book covers linear programming, Monte Carlo Markov Chains, spectral and pseudospectral methods for PDEs, and many new statistical distributions, Gaussian mixture models, HMMs, hierarchical clustering, Support Vector Machines. For better understanding of the readers many numerical routines are featured. The book will be beneficial for scientists and engineers working in scientific computing.


5. “Numerical Methods for Scientific and Engineering Computation” by S R K Iyengar  
6. “Applied Design of Experiments and Taguchi Methods” by P Shahabudeen and K Krishnaiah
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“Applied Design of Experiments and Taguchi Methods” Book Review: This book will be ideal for the undergraduate students of Industrial Engineering and postgraduate students of Mechatronics Engineering, Mechanical Engineering and Statistics. The book aims at introducing the basics of experimental design and DOE techniques. The concepts and methods like surface design, Taguchi quality loss function, orthogonal design, and objective functions in robust design are described in detail. The book features application of orthogonal arrays, methods for multilevel factor designs, factor analysis, genetic algorithm, and analysis of variance. The graphical methods for carrying of data analysis are introduced to save time. The statistical model for dealing with two factor experiments and three factor experiments is highlighted in this book.


7. “Theory and Methods Of Survey Sampling” by Parimal Mukhopadhyay
“Theory and Methods Of Survey Sampling” Book Review: The book is an updated, revised, and compact piece of writing. The chapters of this book covers types of sampling, techniques of various samplings, predictiontheoretic approach of survey sampling, unequal probability sampling, nonsampling errors, and randomised response techniques. A chapter featuring the analysis of complex surveys is included in this book. The content of the book is supported by workedout examples, exercises, and various problems along with their solutions. The book will be useful for students of statistics and sample survey. It will be equally important for the statisticians and practitioners related to consultancy services, marketing, and opinion polls.


8. “Probabilistic Methods in Geotechnical Engineering” by D V Griffiths Gordon A Fenton
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“Probabilistic Methods in Geotechnical Engineering” Book Review: The book begins with a description of probability theory. The topics like random variables, random fields, random sets, laterally loaded rigid piles, and random field generation are discussed in detail. The various methods underlying in probability , namely response surface method, local average subdivision method, and random finite element method are featured in this book. The book introduces many tools and strategies for dealing with uncertainty and problems in geotechnics. The applications of response surface method are highlighted in this book. A chapter based on a case history is included in this book. The book will be suitable for the students of geotechnical engineering.


9. “Advanced Methods in Material Forming” by Banabic
“Advanced Methods in Material Forming” Book Review: The book will be beneficial for the professional, scientists, and engineers related to different fields of materials processing technology. It covers the latest numerical strategies in forming process simulation, optimization, anisotropy and formability of materials, and superplastic forming. The book features various technologies used in metal forming like sheet metal forming technologies, polymer processing, and composite forming technologies. It highlights the applications of recently developed methods in sheet forming. The content of this book is inspired from the research papers presented at the International Conference on Materials Forming, ESAFORM 2005.


10. “LeastSquares Methods for Linear Programming Problems” by Balaji Gopalakrishnan
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“LeastSquares Methods for Linear Programming Problems” Book Review: The book introduces the leastsquares methods for solving linear programming problems. The algorithms featured in this book are clearly explained and are applicable to different types of linear programming problems. The chapters describe combined objectives leastsquares algorithm, nonnegative leastsquares algorithm, and leastsquares primaldual algorithm for solving linear programming problems. The computational results for the algorithms are highlighted in this piece of writing.


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