/Fortran-related-books

Books with Fortran code, other than textbooks

Fortran-related books

Books with Fortran code, other than Fortran textbooks. This is a copy of the Related Books section of the Fortran Wiki. If you have a book suggestion or if the code of a book is not linked here, please create an issue.

Akaike, Hirotsugu (1975). TIMSAC-74, a time series analysis and control program package. Institute of Statistical Mathematics. R package timsac: Time Series Analysis and Control has Fortran code.

Akin, J. E. (1994). Finite Elements for Analysis and Design. Academic Press

Alexandrou, Andreas N. (2001). Principles of Fluid Mechanics. Prentice-Hall

Algazin, Sergey D., and Igor A. Kijko (2015). Aeroelastic Vibrations and Stability of Plates and Shells. De Gruyter

Allen, Michael P. and Dominic J. Tildesley (2017). Computer Simulation of Liquids, 2nd. ed.. Oxford University Press. code at GitHub

Anagnostopoulos, Konstantinos (2016). Computational Physics. freely available in Fortran and C++ versions

Angell, Ian O., and Gareth Griffith (1987). High-resolution Computer Graphics Using FORTRAN 77. Palgrave Macmillan

Antia, H.M. (2012). Numerical methods for scientists and engineers, 3rd ed.. Hindustan Book Agency.

Axelrod, Robert (1998). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press. Code here

Bartschat, Klaus (Ed.) (1996). Computational Atomic Physics: Electron and Positron Collisions with Atoms and Ions. Springer

Bathe, Klaus-Jurgen (2014). Finite Element Procedures, 2nd ed.. Prentice Hall. Text here Related code ADINA, OpenSTAP, and STAP90

Beer, Gernot, Ian Smith, and Christian Duenser (2008). The Boundary Element Method with Programming For Engineers and Scientist. Springer

Beer, Gernot (2001). Programming the Boundary Element Method: An Introduction for Engineers. Wiley

Berg, Bernd A (2004). Markov Chain Monte Carlo Simulations and Their Statistical Analysis – With Web-Based Fortran Code. World Scientific

Bestehorn, Michael (2018). Computational Physics With Worked Out Examples in FORTRAN and MATLAB. De Gruyter

Bhatt, Prab (2003). Programming the Dynamic Analysis of Structures. CRC

Bierman, Gerald J. (1977). Factorization Methods for Discrete Sequential Estimation Academic Press. (contains Fortran pseudo-code for numerically stable Kalman filters)

Blazek, Jiri (2015). Computational Fluid Dynamics: Principles and Applications, 3rd ed.. Butterworth-Heinemann

Bloomfield, Peter (1976). Fourier Analysis of Time Series, 1st ed.. First edition has Fortran code, the 2nd edition, published in 2000, has S-PLUS code.

Bratley, Paul, Bennet L. Fox, and Linus E. Schrage (1987). A Guide to Simulation, 2nd. ed.. Springer.

Boor, Carl de (1978). A Practical Guide to Splines. Springer. PPPACK Fortran 90 code here

Bose, Sujit Kumar (2019). Numerical Methods of Mathematics Implemented in Fortran. Springer. reviewed here

Boyd, John P. (2001). Chebyshev and Fourier Spectral Methods. Dover. Modified code here

Brandt, Siegmund (1999). Data Analysis: Statistical and Computational Methods for Scientists and Engineers. Springer

Brent, Richard (1973). Algorithms for Minimization without Derivatives. Prentice-Hall

Britz, Dieter, and Jörg Strutwolf (2016). Digital Simulation in Electrochemistry. Springer. Appendix E describes a number of example programs in Fortran.

Burden, Richard, L., J. Douglas Faires and Annette M. Burden (2016). Numerical Analysis, 10th ed.. Cengage. FORTRAN 77 code here

Chandra, Rohit, Ramesh Menon, Leo Dagum, David Kohr, Dror Maydan, and Jeff McDonald (2000). Parallel Programming in OpenMP. Morgan Kaufmann

Chapman, Barbara et al. (2007). Using OpenMP - Portable Shared Memory Parallel Programming. MIT Press.

Cheney, Ward and David Kincaid (2012). Numerical Mathematics and Computing, 7th ed.. Brooks/Cole: Cengage Learning

Chung, T. J. (2010). Computational Fluid Dynamics, 2nd ed.. Cambridge University Press

Clerman, Norman S. and Spector, Walter (2011). Modern Fortran - Style and Usage. Cambridge University Press. reviewed in the Journal of Statistical Software

Coker, A. Kayode (1995). Fortran Programs for Chemical Process Design, Analysis, and Simulation. Gulf Professional

Crawley, Stanley W., and Robert M. Dillon (1993) Steel Buildings: Analysis and Design, 4th ed.. Wiley

Cullum, Jane K. and Ralph A. Willoughby (1985) Lanczos Algorithms for Large Symmetric Eigenvalue Computations: Vol. I: Theory. Birkhauser. Code and text of 2nd volume at Netlib

Curotto, Emanuele (2009). Stochastic Simulations of Clusters: Quantum Methods in Flat and Curved Spaces. CRC

Dagpunar, John (1988). Principles of Random Variate Generation. Oxford University Press. Related Fortran 90 code from Alan Miller.

Davies, R.G. (1971). Computer Programming in Quantitative Biology. Academic Press

Davis, Mark E. (1984). Numerical Methods & Modeling for Chemical Engineers. Wiley

Davis, Philip J., and Philip Rabinowitz (1984). Methods of Numerical Integration, 2nd. ed.. Academic Press

Day, A. Colin (1972). Fortran Techniques with Special Reference to Non-numerical Applications. Cambridge University Press

De Gooijer, Jan G. (2017). Elements of Nonlinear Time Series Analysis and Forecasting. Springer

Dennis, Jr., J.E., and Robert B. Schnabel (1996). Numerical Methods for Unconstrained Optimization and Nonlinear Equations. SIAM. Fortran 90 code for UNCMIN at Alan Miller’s site

Deutsch, C.V. and A.G. Journel (1997). GSLIB: Geostatistical Software Library and Users Guide, 2nd. ed.. Oxford University Press. Code here

DeVries, Paul L. (1994). A First Course in Computational Physics. Wiley. reviewed here

Devroye, Luc (1986). Non-Uniform Random Variate Generation. Springer. Devroye saysAlan Miller … programmed most algorithms” from the book.

Dierckx, Paul (1993). Curve and Surface Fitting with Splines. Oxford. code here

Engeln-Müllges, Gisela and Uhlig, Frank (2013). Numerical Algorithms with Fortran. Springer.

Epps, Thomas W. (2007). Pricing Derivative Securities, 2nd. ed.. World Scientific

Evensen, Geir (2009). Data assimilation, The Ensemble Kalman Filter, 2nd ed.. Springer

Farrashkhalvat, M., and J.P. Miles (2003). Basic Structured Grid Generation, with an introduction to unstructured grid generation. Butterworth-Heinemann

Fehr, Hans and Kindermann, Fabian (2018). Introduction to Computational Economics Using Fortran. Oxford University Press.

Fenner, D. N. (1987). Engineering stress analysis: A finite element approach with FORTRAN 77 software. Ellis Horwood

Fenner, Roger T. (2013). Finite Element Methods For Engineers, 2nd ed.. Imperial College Press

Fenton, Gordon A., and D. V. Griffiths (2008). Risk Assessment in Geotechnical Engineering. Wiley

Ferziger, Joel H., Peric, Milovan, and Street, Robert L. (2002). Computational Methods for Fluid Dynamics. Springer

Finlayson, Bruce A. (1980). Nonlinear Analysis in Chemical Engineering. McGraw-Hill.

Fletcher, C. A. J. (1998). Computational Techniques for Fluid Dynamics 1: Fundamental and General Techniques. Springer

Fletcher, C. A. J. (1991). Computational Techniques for Fluid Dynamics 2: Specific Techniques for Different Flow Categories. Springer

Fletcher, C. A. J. (1984). Computational Galerkin Methods. Springer

Fletcher, R. (2000). Practical Methods of Optimization, 2nd Edition. Wiley

Fornberg, Bengt (1998). A Practical Guide to Pseudospectral Methods. Cambridge University Press.

Forsythe, George E., Michael A. Malcolm, and Cleve B. Moler (1977). Computer Methods for Mathematical Computations. Prentice-Hall. Code at Netlib

Francq, Christian and Jean‐Michel Zakoian (2019). GARCH Models: Structure, Statistical Inference and Financial Applications, 2nd. ed.. Wiley. Code at Francq’s site

Fuller, W. R. (1977). FORTRAN Programming: A Supplement for Calculus Courses. Springer

Garcia, Alejandro L. (1994). Numerical Methods for Physics. Prentice Hall

Gibbs, B. P. (2011). Advanced Kalman Filtering, Least-Squares, and Modeling, A Practical Handbook. Wiley. The software is included in a single zip file (Gibbs_Software_1_2.zip) located at web site ftp://ftp.wiley.com/public/sci_tech_med/least_squares/

Gill, Philip E., Walter Murray, Margaret H. Wright (1981). Practical Optimization. Academic Press

Giordano, Nicholas J., and Hisao Nakanishi (2005). Computational Physics. Prentice-Hall

Golub, Gene, and Charles Van Loan (2013). Matrix Computations, 4th ed.. Johns Hopkins

Gonin, Rene, and Arthur H. Money (1989). Nonlinear Lp-Norm Estimation. CRC

Green, Peter J., Nils Lid Hjort, and Sylvia Richardson (2003). Highly Structured Stochastic Systems. Oxford University Press. Related code at Green’s site

Greenspan, Donald (2005). Molecular and Particle Modelling of Laminar and Turbulent Flows. World Scientific

Greenspan, Donald (1991). Quasimolecular Modelling. World Scientific

Griffiths, P., and Ian D. Hill (1985). Applied Statistics Algorithms. Ellis Horwood. Applied statistics codes here.

Griffiths, D. Vaughan, and I.M. Smith (2006). Numerical Methods for Engineers, 2nd ed.. CRC. Code at Griffiths’ site

Gropp W., Lusk, E. and Skjellum, A. (1999). Using MPI - Portable Parallel Programming with the Message Passing Interface. The MIT Press.

Gu, Chong (2013). Smoothing Spline ANOVA Models, 2nd ed.. Springer

Hageman, L. and D. M. Young (1981). Applied Iterative Methods. Academic Press. Related package: NSPCG

Hager, Georg and Gerhard Wellein (2010). Introduction to High Performance Computing for Scientists and Engineers. CRC

Hairer, Ernst, Syvert P. Nørsett, and Gerhard Wanner (1993). Solving Ordinary Differential Equations I: Nonstiff Problems. Springer. code at Hairer’s site

Hairer, Ernst, and Gerhard Wanner (1996). Solving Ordinary Differential Equations II: Stiff and Differential-Algebraic Problems. Springer. code at Hairer’s site

Hartigan, J. A. (1975). Clustering Algorithms. Wiley. Code in the Cluster section of CMLIB.

Hinton, E, and D. Owen (1979). Finite Element Programming. Academic Press

Hjorth-Jensen, Morton (2008). Computational Physics.

Hock, W., and Klaus Schittkowski (1981). Test Examples for Nonlinear Programming Codes. Springer. Code here

Huang, Haibo, Michael C. Sukop, and Xi-Yun Lu (2015). Multiphase Lattice Boltzmann Methods: Theory and Application. Wiley

Hughes, Thomas J. R. (1987). The Finite Element Method: Linear Static and Dynamic Finite Element Analysis. Prentice-Hall. Related code DLEARN

IEEE (1981). Programs for Digital Signal Processing. IEEE Press. Reviewed here

Itkin, A. L., and E. G. Kolesnichenko (1997). Microscopic Theory of Condensation in Gases and Plasma. World Scientific

Izaac, Joshua, and Jingbo Wang (2018). Computational Quantum Mechanics. Springer

Javanbakht, Zia, and Andreas Öchsner (2017). Advanced Finite Element Simulation with MSC Marc: Application of User Subroutines. Springer

Jeppson, Roland W. Jeppson (1976). Analysis of Flow in Pipe Networks. Butterworth-Heinemann. Modernization of codes discussed in Recovery of Jeppson Pipe Network Analysis Software by Bob Apthorpe

Jones, Russell K., and Tracy Crabtree (1988). FORTRAN Tools for VAX/VMS and MS-DOS. Wiley

Kagiwada, Harriet, Robert Kalaba, Nima Rasakhoo, and Karl Spingarn (1986). Numerical Derivatives and Nonlinear Analysis

Kahaner, David, Cleve Moler, and Stephen Nash (1998). Numerical Methods and Software. Prentice Hall. Fortran 90 code here

Kampf, Jochen (2010). Advanced Ocean Modelling: Using Open-Source Software. Springer

Kantz, Holger, and Thomas Schreiber (2010). Nonlinear Time Series Analysis. Cambridge University Press. Associated software: TISEAN

Katz, Joseph and Allen Plotkin (2001). Low-Speed Aerodynamics. Cambridge University Press. Code at GitHub

Kearfott, R. Baker (1996). Rigorous Global Search: Continuous Problems. Kluwer

Keeling, Matt J. and Pej Rohani (2007). Modeling Infectious Diseases in Humans and Animals. Princeton University Press

Kernighan, Brian W. and Pike, Rob (1999). The Practice of Programming. Addison-Wesley.

Kincaid, David and Ward Cheney (2002). Numerical Analysis: Mathematics of Scientific Computing, 3rd ed.. American Mathematical Society. Code here

Kitagawa, Genshiro (2020). Introduction to Time Series Modeling with Applications in R. CRC. Associated R package TSSS: Time Series Analysis with State Space Model has Fortran code.

Klein, Andi, and Alexander Godunov (2006). Introductory Computational Physics. Cambridge University Press. codes in Fortran and C++

Koonin, Steven E., and Dawn C. Meredith (1990). Computational Physics: Fortran Version. Westview Press

Kopriva, David (2009). Implementing Spectral Methods for Partial Differential Equations: Algorithms for Scientists and Engineers. Springer. Has Fortran-friendly pseudo-code. The author has contributed routines to the HORSES2D high-order spectral element solver in Fortran.

Kuester, James L., and Joe H. Mize (1973). Optimization Techniques with Fortran. McGraw-Hill

Land, A., and S. Powell (1973). Fortran codes for mathematical programming: linear, quadratic and discrete. Wiley

Lau, Hang Tong (1989). Algorithms on Graphs. Tab Books. Fortran 90 version of code at Burkardt’s site

Lau, Hang Tong (1986). Combinatorial Heuristic Algorithms with FORTRAN. Springer

Lawson, Charles L., and Richard J. Hanson (1995). Solving Least Squares Problems. SIAM original code at Netlib, modernized code at GitHub. Bounded Variable Least Squares Solver here, Nonnegative Least Squares here.

LeVeque, Randall J. (2012). Finite Volume Methods for Hyperbolic Problems. Cambridge University Press

Lee, H.J., and W.E. (2003). Ordinary and Partial Differential Equation Routines in C, C++, Fortran, Java, Maple, and MATLAB. Chapman and Hall/CRC

Lee, Wen Ho (2018). Computational Solid Mechanics for Oil Well Perforator Design. World Scientific

Leffelaar P. A. (1993). On Systems Analysis and Simulation of Ecological Processes with Examples in CSMP and FORTRAN. Springer

Lucquin, Brigitte, and Olivier Pironneau (1998). Introduction to Scientific Computing. Wiley. Fortran and C code at Pironneau’s site

Marazzi, Alfio (1993). Algorithms, Routines, and S-Functions for Robust Statistics. Chapman and Hall/CRC. FORTRAN 77 code available in robeth R package

Markus, Arjen (2012). Modern Fortran in Practice. Cambridge University Press.

Marple, S. Lawrence (1987). Digital Spectral Analysis with Applications. Prentice-Hall. Reviewed here. Second edition has Matlab code.

Martello, Silvano, and Paolo Toth (1990). Knapsack Problems: Algorithms and Computer Implementations. Wiley.

Mattson, Timothy G., Yun (Helen) He, and Alice E. Koniges (2019). The OpenMP Common Core: Making OpenMP Simple Again. MIT Press

Mielke, Jr., Paul W., and Kenneth J. Berry (2007). Permutation Methods: A Distance Function Approach. Springer. code at Mielke’s site

Miller, Alan (2002). Subset Selection in Regression, 2nd ed.. Chapman and Hall/CRC. code at Miller’s site

Monahan, John F. (2011). Numerical Methods of Statistics, 2nd ed.. Cambridge University Press

Moran, Jack (1984). An Introduction to Theoretical and Computational Aerodynamics. Wiley. Reviewed here

Moré, Jorge J. and Stephen J. Wright (1993). Optimization Software Guide. SIAM. Wright helped create the NEOS Guide

Moursund, David G., and Charles S. Duris (1988). Elementary Theory and Application of Numerical Analysis. Dover

Nazareth, J.L. (2001). DLP and Extensions: An Optimization Model and Decision Support System. Springer. DLPEDU code here

Neculai, Andrei (2020). Nonlinear Conjugate Gradient Methods for Unconstrained Optimization. Springer. Fortran codes at author’s site

Newton, H. Joseph (1988). Timeslab: A Time Series Analysis Laboratory. Wadsworth & Brook/Cole. Timeslab code at author’s site

Nguyen, Duc Thai (2002). Parallel-Vector Equation Solvers for Finite Element Engineering Applications. Springer

Nijenhuis, Albert, and Herbert S. Wilf (1978). Combinatorial Algorithms For Computers and Calculators, 2nd. ed.. Academic Press. Original code at book site, Fortran 90 by Burkardt here

Nocedal, Jorge, and Stephen J. Wright (2006). Numerical Optimization. Springer. Related code at Nocedal’s site

Oliveira, Suely and Stewart, David (2006). Writing Scientific Software - A Guide to Good Style. Cambridge University Press.

Olver, Frank W. J., Daniel W. Lozier, Ronald F. Boisvert, and Charles W. Clark (2010). NIST Handbook of Mathematical Functions. Cambridge University Press. Associated with the NIST Digital Library of Mathematical Functions

Orfanidis, Sophocles J. (1988). Optimum Signal Processing. Wiley

Orlandi, Paolo (2000). Fluid Flow Phenomena: A Numerical Toolkit. Kluwer. Code at author's site

Osyczka, Andrzej (1984). Multicriterion Optimization in Engineering with FORTRAN Programs. Halsted/Wiley

Pang, Tao (2006). An Introduction to Computational Physics, 2nd Edition. Cambridge University Press

Pao, Yen-Ching (1998). Engineering Analysis: Interactive Methods and Programs with FORTRAN, QuickBASIC, MATLAB, and Mathematica. CRC Press

Pozrikidis, C. (2017). Fluid Dynamics: Theory, Computation, and Numerical Simulation, 3rd ed.. Springer

Pozrikidis, C. (2008). Numerical Computation in Science and Engineering, 2nd. ed.. Oxford University Press

Pozrikidis, C. (2011). Introduction to Theoretical and Computational Fluid Dynamics, 2nd. ed.. Oxford

Pozrikidis, C. (1999). Little Book of Streamlines. Academic Press

Prausnitz, J., T. Anderson, E. Grens, C. Eckert, R. Hsieh, and J. O’Connell, (1980). Computer Calculations for Multicomponent Vapor-Liquid and Liquid-Liquid Equilibria. Prentice-Hall.

Press, Flannery, Teukolsky, and Vetterling (1992). Numerical Recipes in Fortran 77. Cambridge University Press.

Press, Teukolsky, Vetterling and Flannery (1996). Numerical Recipes in Fortran 90 - The Art of Parallel Scientific Computing. Cambridge University Press

Rabiner, Lawrence R., and Bernard Gold (1975). Theory and Application of Digital Signal Processing. Prentice Hall

Ramos, Juan Antonio Hernandez, and Lopez, Javier Escoto (2020). How to learn Applied Mathematics through modern FORTRAN. Independently published code and text

Reddy, J. N. (2005). An Introduction to the Finite Element Method, 3rd ed.. McGraw-Hill. Code here

Robey, Robert and Yuliana Zamora (2021). Parallel and High Performance Computing. Manning

Roe, Byron P. (2001). Probability and Statistics in Experimental Physics. Springer

Røed, Lars Petter (2019). Atmospheres and Oceans on Computers: Fundamental Numerical Methods for Geophysical Fluid Dynamics. Springer. Has appendix Introduction to Fortran 2003 via Examples

Rouson, D., J. Xia, and X. Xu (2011). Scientific Software Design - The Object-Oriented Way. Cambridge University Press.

Ruetsch, Gregory and Fatica, Massimiliano (2013). CUDA Fortran for Scientists and Engineers. Morgan Kaufmann.

Saad, Yousef (2003). Iterative Methods for Sparse Linear Systems, 2nd Edition. SIAM

Saad, Yousef (2011). Numerical Methods for Large Eigenvalue Problems - 2nd Edition. SIAM

Salmi, Tapio, Johan Wärnå , José Rafael Hernández Carucci and César A. de Araújo Filho (2020). Chemical Reaction Engineering: A Computer-Aided Approach. De Gruyter

Santner, Thomas J., Brian J. Williams, and William I. Notz (2003). The Design and Analysis of Computer Experiments. Springer

Schiesser, W. E., and C. A. Silebi (1997). Computational Transport Phenomena: Numerical Methods for the Solution of Transport Problems. Cambridge University Press

Schiesser, W. E. (1991). The Numerical Method of Lines: Integration of Partial Differential Equations 1st ed.. Academic Press

Schittkowski, Klaus (2002). Numerical Data Fitting in Dynamical Systems - A Practical Introduction with Applications and Software. Kluwer

Schittkowski, Klaus (1987). More Test Examples for Nonlinear Programming Codes. Springer. Code here

Schittkowski, Klaus (1980). Nonlinear Programming Codes: Information, Tests, Performance. Springer

Schmidt, Bernd (1987). Model Construction with GPSS-FORTRAN Version 3. Springer.

Scott, L. Ridgway, Terry Clark, and Babak Bagheri (2005). Scientific Parallel Computing. Princeton University Press

Sewell, Granville (2018). Solving Partial Differential Equation Applications with PDE2D. Wiley

Sewell, Granville (2015) The Numerical Solution of Ordinary and Partial Differential Equations, 3rd Ed.. World Scientific

Sewell, Granville (2014). Computational Methods of Linear Algebra, 3rd ed.. World Scientific

Shampine, Lawrence, and Marilyn Gordon (1975). Computer Solution of Ordinary Differential Equations: The Initial Value Problem. Freeman. Code translated to Fortran 90 by John Burkardt.

Singh, Nathi (2017). Computational Methods for Physics and Mathematics: With Fortran and C Programmes. Alpha Science

Sinha, Mihir K., and Larry R. Padgett (1985). Reservoir Engineering Techniques Using Fortran. Springer

Siouris, George M. (1996). An Engineering Approach to Optimal Control and Estimation Theory. Wiley

Skiena, Steven (2011). Algorithm Design Manual, 3rd ed.. Fortran codes here

Smetana, Frederick O. (1997). Introductory Aerodynamics and Hydrodynamics of Wings and Bodies: A Software-Based Approach. American Institute of Aeronautics & Astronautics

Smetana, Frederick O. (1981). Fortran Codes for Classical Methods in Linear Dynamics. McGraw-Hill

Smith, I.M., D. V. Griffiths, and L. Margetts (2013). Programming the Finite Element Method, 5th Edition. Wiley. Code at Griffiths’ site

Smylie, D. E. (2013). Earth Dynamics: Deformations and Oscillations of the Rotating Earth. Cambridge University Press

Snir, Marc and Gropp, William (1998). MPI - The Complete Reference. The MIT Press.

Späth, Helmuth (1995). Two Dimensional Spline Interpolation Algorithms. CRC

Späth, Helmuth (1995). One Dimensional Spline Interpolation Algorithms. CRC

Späth, Helmuth (1991). Mathematical Algorithms for Linear Regression. Academic Press. Fortran 90 code at John Burkardt’s site

Späth, Helmuth (1980). Cluster Analysis Algorithms. Halsted Press. Fortran 90 code at John Burkardt’s site

Stearns, Samuel D., and Ruth A. David (1992). Signal Processing Algorithms in Fortran and C. Prentice-Hall

Stroud, Arthur (1971). Approximate Calculation of Multiple Integrals. Prentice Hall. Fortran 90 code by John Burkardt here

Stroud, Arthur, and Don Secrest (1966). Gaussian Quadrature Formulas. Prentice Hall. Fortran 90 code by John Burkardt here

Tanizaki, Hisashi (2004). Computational Methods in Statistics and Econometrics. CRC Press

Thompson, William J. (1997). Atlas for Computing Mathematical Functions: An Illustrated Guide for Practitioners with Programs in FORTRAN and Mathematica. Wiley

Tikhonov, A.N., Goncharsky, A., Stepanov, V.V., and Yagola, A.G. (1995). Numerical Methods for the Solution of Ill-Posed Problems. Springer

Trapp, Michael, and Andreas Öchsner (2018). Computational Plasticity for Finite Elements: A Fortran-Based Introduction. Springer

Traub, Joseph (1964). Iterative Methods for the Solution of Equations Prentice Hall. Code by John Bukardt here

Villadsen, John, and Michael L. Michelsen (1978). Solution of Differential Equations Models by Polynomial Approximation. Prentice-Hall

Vowels, Robin A. (1998). Algorithms and Data Structures in F and Fortran. Unicomp

Walker, Darren (2016). Computational Physics. Mercury Learning. Code at GitHub.

Wang, H. F., and M. P. Anderson (1982). Introduction to groundwater modeling: Finite difference and finite element methods. Freeman. Code at Wang’s site

Watson, Neville, and Jos Arrillaga (2003). Power Systems Electromagnetic Transients Simulation. Institution of Engineering and Technology

Wesseling, Pieter (1992). An Introduction to Multigrid Methods. Wiley. Code by Wesseling here

Weiland, Claus (2010). Computational Space Flight Mechanics. Springer

White, Robert E. (2016). Computational Mathematics Models, Methods, and Analysis with MATLAB® and MPI, 2nd ed.. CRC

Yanushevsky, Rafael (2019). Modern Missile Guidance, 2nd ed.. CRC

Zubairi, Omair and Fridolin Weber (2018). Introduction to Computational Physics for Undergraduates. Morgan & Claypool