Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-nr4z6 Total loading time: 0 Render date: 2024-04-30T16:32:32.060Z Has data issue: false hasContentIssue false

Bibliography

Published online by Cambridge University Press:  14 August 2020

Alex Gezerlis
Affiliation:
University of Guelph, Ontario
Get access

Summary

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Abramowitz, M., and Stegun, I. A. (eds). 1965. Handbook of Mathematical Functions. Dover.Google Scholar
[2] Acton, F. S. 1990. Numerical Methods That Work. The Mathematical Association of America.CrossRefGoogle Scholar
[3] Acton, F. S. 1996. Real Computing Made Real. Princeton University Press.Google Scholar
[4] Arfken, G. B., and Weber, J. J. 2005. Mathematical Methods for Physicists. Sixth edn. Elsevier.Google Scholar
[5] Ascher, U. M., and Greif, C. 2011. A First Course in Numerical Methods. Society for Industrial and Applied Mathematics.CrossRefGoogle Scholar
[6] Baumgarte, T. W., and Shapiro, S. L. 2010. Numerical Relativity. Cambridge University Press.CrossRefGoogle Scholar
[7] Baym, G. 1969. Lectures on Quantum Mechanics. Westview Press.Google Scholar
[8] Beazley, D. M. 2009. Python Essential Reference. Fourth edn. Addison-Wesley.Google Scholar
[9] Becca, F., and Sorella, S. 2017. Quantum Monte Carlo Approaches for Correlated Systems. Cambridge University Press.Google Scholar
[10] Bender, C. A., and Orszag, S. A. 1978. Advanced Mathematical Methods for Scientists and Engineers. McGraw-Hill.Google Scholar
[11] Berrut, J.-P., and Trefethen, L. N. 2004. Barycentric Lagrange Interpolation. SIAM Review, 46, 501.CrossRefGoogle Scholar
[12] Beu, T. A. 2015. Introduction to Numerical Programming. CRC Press.Google Scholar
[13] Bevington, P. R. 1992. Data Reduction and Error Analysis for the Physical Sciences. Second edn. McGraw-Hill.Google Scholar
[14] Broyden, C. G. 1965. A Class of Methods for Solving Nonlinear Simultaneous Equations. Mathematics of Computation, 19, 577.CrossRefGoogle Scholar
[15] Byron, F. W. Jr, and Fuller, R. W. 1992. Mathematics of Classical and Quantum Physics. Dover.Google Scholar
[16] Caballero, D., and Hjorth-Jensen, M. 2018. Integrating a Computational Perspective in Physics Courses. Pages 47–76 of: Magazù, S. (ed), New Trends in Physics Education Research. Nova Science Publishers.Google Scholar
[17] Ceder, N. 2018. The Quick Python Book. Third edn. Manning Publications.Google Scholar
[18] Ceperley, D. M. 1995. Path Integrals in the Theory of Condensed Helium. Reviews of Modern Physics, 67, 279.Google Scholar
[19] Conte, S. D., and de Boor, C. 1980. Elementary Numerical Analysis. Third edn. McGraw-Hill.Google Scholar
[20] Dalhquist, G., and Björck, Å. 1974. Numerical Methods. Prentice-Hall.Google Scholar
[21] Davio, M. 1981. Kronecker Products and Shuffle Algebra. IEEE Transactions on Computers, C-30, 116.Google Scholar
[22] Delves, L. M., and Mohamed, J. L. 1985. Computational Methods for Integral Equations. Cambridge University Press.CrossRefGoogle Scholar
[23] Demmel, J. W. 1997. Applied Numerical Linear Algebra. Society for Industrial and Applied Mathematics.CrossRefGoogle Scholar
[24] Duncan, A. 2012. The Conceptual Foundations of Quantum Field Theory. Oxford University Press.Google Scholar
[25] Dunn, W. L., and Shultis, J. K. 2012. Exploring Monte Carlo Methods. Elsevier.Google Scholar
[26] Fetter, A. L., and Walecka, J. D. 1980. Theoretical Mechanics of Particles and Continua. McGraw-Hill.Google Scholar
[27] Feynman, R. P., Leighton, R. B., and Sands, M. L. 2010. The Feynman Lectures on Physics, Vol. 3. New millenium edn. Addison-Wesley.Google Scholar
[28] Flügge, S. 1994. Practical Quantum Mechanics. Springer.Google Scholar
[29] Franklin, J. 2013. Computational Methods for Physics. Cambridge University Press.Google Scholar
[30] Gil, A., Segura, J., and Temme, N. M. 2007. Numerical Methods for Special Functions. Society for Industrial and Applied Mathematics.CrossRefGoogle Scholar
[31] Goldberg, D. 1991. What Every Computer Scientist Should Know About Floating-Point Arithmetic. ACM Computing Surveys, 23, 5.Google Scholar
[32] Golub, G. H., and Van Loan, C. F. 1996. Matrix Computations. Third edn. The Johns Hopkins University Press.Google Scholar
[33] Greenbaum, A., and Chartier, T. P. 2012. Numerical Methods. Princeton University Press.Google Scholar
[34] Griffiths, D. J. 1999. Introduction to Electrodynamics. Third edn. Prentice-Hall.Google Scholar
[35] Hammarling, S. 2005. An Introduction to the Quality of Computed Solutions. Pages 43–76 of: Einarsson, B. (ed), Accuracy and Reliability in Scientific Computing. Society for Industrial and Applied Mathematics.Google Scholar
[36] Hamming, R. W. 1973. Numerical Methods for Scientists and Engineers. Second edn. McGraw-Hill.Google Scholar
[37] Hamming, R. W. 2012. Introduction to Applied Numerical Analysis. Dover.Google Scholar
[38] Heath, M. T. 2002. Scientific Computing. Second edn. McGraw-Hill.Google Scholar
[39] Higham, N. J. 2002. Accuracy and Stability of Numerical Algorithms. Second edn. Society for Industrial and Applied Mathematics.Google Scholar
[40] Hildebrand, F. D. 1974. Introduction to Numerical Analysis. Second edn. McGraw-Hill.Google Scholar
[41] Hill, C. 2016. Learning Scientific Programming with Python. Cambridge University Press.Google Scholar
[42] Hoffman, J. D. 2001. Numerical Methods for Engineers and Scientists. Second edn. Marcel Dekker.Google Scholar
[43] Isaacson, E., and Keller, H. B. 1994. Analysis of Numerical Methods. Dover.Google Scholar
[44] Iserles, A. 2008. A First Course in the Numerical Analysis of Differential Equations. Second edn. Cambridge University Press.Google Scholar
[45] Izaac, J., and Wang, J. 2018. Computational Quantum Mechanics. Springer.Google Scholar
[46] Jackson, J. D. 1999. Classical Electrodynamics. Third edn. John Wiley & Sons.Google Scholar
[47] Jammer, M. 1966. The Conceptual Development of Quantum Mechanics. McGraw-Hill.Google Scholar
[48] Kahan, W. 1966. Numerical Linear Algebra. Canadian Mathematical Bulletin, 7, 757.Google Scholar
[49] Kahan, W. 1981. Why Do We Need a Floating-Point Arithmetic Standard? Technical Report, UC Berkeley.Google Scholar
[50] Kahan, W. 2005. How Futile Are Mindless Assessments of Roundoff in Floating-Point Computation? Householder Symposium XVI.Google Scholar
[51] Kalos, M. H., and Whitlock, P. A. 1986. Monte Carlo Methods. John Wiley & Sons.CrossRefGoogle Scholar
[52] Kernighan, B. W., and Pike, R. 1999. The Practice of Programming. Addison-Wesley.Google Scholar
[53] Kernighan, B. W., and Plauger, P. J. 1976. Software Tools. Addison-Wesley.Google Scholar
[54] Kiusalaas, J. 2013. Numerical Methods in Engineering with Python 3. Cambridge University Press.Google Scholar
[55] Klainerman, S. 2008. Partial Differential Equations. Pages 455–483 of: Gowers, T. (ed), The Princeton Companion to Mathematics. Princeton University Press.Google Scholar
[56] Knuth, D. E. 1998. The Art of Computer Programming, Vol. 2. Third edn. Addison-Wesley.Google Scholar
[57] Koonin, S. E., and Meredith, D. C. 1990. Computational Physics. Addison-Wesley.Google Scholar
[58] Krylov, V. I. 2005. Approximate Calculation of Integrals. Dover.Google Scholar
[59] Lacava, F. 2016. Classical Electrodynamics. Springer.CrossRefGoogle Scholar
[60] Landau, R. H., Páez, M. J., and Bordeianu, C. C. 2015. Computational Physics. Third edn. Wiley-VCH.Google Scholar
[61] Liboff, R. L. 2002. Introductory Quantum Mechanics. Fourth edn. Pearson.Google Scholar
[62] Longair, M. 2013. Quantum Concepts in Physics. Cambridge University Press.Google Scholar
[63] Lummer, O., and Pringsheim, E. 1897. Die Strahlung eines “schwarzen” Körpers zwischen 100 and 1300 C. Annalen der Physik und Chemie, 299, 395.Google Scholar
[64] Mandl, F. 1992. Quantum Mechanics. Wiley.Google Scholar
[65] McConnell, S. 2004. Code Complete. Second edn. Microsoft Press.Google Scholar
[66] McKinney, W. 2017. Python for Data Analysis. Second edn. O’Reilly.Google Scholar
[67] Millikan, R. A. 1916. A Direct Photoelectric Determination of Planck’s “h”. Physical Review, 7, 355.Google Scholar
[68] Newman, M. 2012. Computational Physics. Revised edn. CreateSpace.Google Scholar
[69] Oliveira, S., and Stewart, D. 2006. Writing Scientific Software. Cambridge University Press.CrossRefGoogle Scholar
[70] Overton, M. L. 2001. Numerical Computing with IEEE Floating Point Arithmetic. Society for Industrial and Applied Mathematics.Google Scholar
[71] Pethick, C. J., and Smith, H. 2008. Bose–Einstein Condensation in Dilute Gases. Second edn. Cambridge University Press.Google Scholar
[72] Poisson, E., and Will, C. M. 2014. Gravity. Cambridge University Press.CrossRefGoogle Scholar
[73] Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P. 1992. Numerical Recipes in Fortran. Second edn. Cambridge University Press.Google Scholar
[74] Ralston, A., and Rabinowitz, P. 1978. A First Course in Numerical Analysis. Second edn. McGraw-Hill.Google Scholar
[75] Ramalho, L. 2015. Fluent Python. O’Reilly.Google Scholar
[76] Reif, F. 1965. Fundamentals of Statistical and Thermal Physics. McGraw-Hill.Google Scholar
[77] Rice, J. A. 2007. Mathematical Statistics and Data Analysis. Third edn. Brooks/Cole.Google Scholar
[78] Richardson, O. W., and Compton, K. T. 1912. The Photoelectric Effect. Philosophical Magazine, ( 6 ) 24, 575.Google Scholar
[79] Ridders, C. 1979. A New Algorithm for Computing a Single Root of a Real Continuous Function. IEEE Transactions on Circuits and Systems, 26, 979.CrossRefGoogle Scholar
[80] Roberts, G. O., Gelman, A., and Gilks, W. R. 1997. Weak Convergence and Optimal Scaling of Random Walk Metropolis Algorithms. The Annals of Applied Probability, 7, 110.Google Scholar
[81] Schutz, B. F. 2009. A First Course in General Relativity. Second edn. Cambridge University Press.Google Scholar
[82] Scopatz, A., and Huff, K. D. 2015. Effective Computation in Physics. O’Reilly.Google Scholar
[83] Shankar, R. 1994. Principles of Quantum Mechanics. Second edn. Plenum Press.Google Scholar
[84] Slatkin, B. 2015. Effective Python. Addison-Wesley.Google Scholar
[85] Stewart, G. W. 1973. Introduction to Matrix Computations. Academic Press.Google Scholar
[86] Stewart, G. W., and Sun, J. 1990. Matrix Perturbation Theory. Academic Press.Google Scholar
[87] Stoer, J., and Bulirsch, R. 1993. Introduction to Numerical Analysis. Second edn. Springer.Google Scholar
[88] Stowe, K. 2007. An Introduction to Thermodynamics and Statistical Mechanics. Second edn. Cambridge University Press.Google Scholar
[89] Strang, G. 2005. Linear Algebra and Its Applications. Fourth edn. Brooks/Cole.Google Scholar
[90] Szegö, G. 1975. Orthogonal Polynomials. Fourth edn. American Mathematical Society.Google Scholar
[91] Thornton, S. T., and Marion, J. B. 2004. Classical Dynamics of Particles and Systems. Fifth edn. Brooks/Cole.Google Scholar
[92] Tierney, L. 1994. Markov Chains for Exploring Posterior Distributions. The Annals of Statistics, 22, 1701.Google Scholar
[93] Toussaint, D. 1989. Introduction to Algorithms for Monte Carlo Simulations and their Application to QCD. Computer Physics Communications, 56, 69.Google Scholar
[94] Trefethen, L. N. 2012. Approximation Theory and Approximation Practice. Society for Industrial and Applied Mathematics.Google Scholar
[95] Trefethen, L. N., and Bau, D. III. 1997. Numerical Linear Algebra. Society for Industrial and Applied Mathematics.Google Scholar
[96] Tucker, W. 2011. Validated Numerics. Princeton University Press.Google Scholar
[97] Širca, S., and Horvat, M. 2018. Computational Methods in Physics. Second edn. Springer.Google Scholar
[98] Wilkinson, J. H. 1963. Rounding Errors in Algebraic Processes. Prentice-Hall.Google Scholar
[99] Wilkinson, J. H. 1965. The Algebraic Eigenvalue Problem. Oxford University Press.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Bibliography
  • Alex Gezerlis, University of Guelph, Ontario
  • Book: Numerical Methods in Physics with Python
  • Online publication: 14 August 2020
  • Chapter DOI: https://doi.org/10.1017/9781108772310.013
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Bibliography
  • Alex Gezerlis, University of Guelph, Ontario
  • Book: Numerical Methods in Physics with Python
  • Online publication: 14 August 2020
  • Chapter DOI: https://doi.org/10.1017/9781108772310.013
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Bibliography
  • Alex Gezerlis, University of Guelph, Ontario
  • Book: Numerical Methods in Physics with Python
  • Online publication: 14 August 2020
  • Chapter DOI: https://doi.org/10.1017/9781108772310.013
Available formats
×