Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this book covers linear algebra, differential equations, root-finding, interpolation, and integration. Fully implementing many numerical methods in Python and with 140 new problems, it is an ideal standalone textbook on computational physics.
Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this book covers linear algebra, differential equations, root-finding, interpolation, and integration. Fully implementing many numerical methods in Python and with 140 new problems, it is an ideal standalone textbook on computational physics.
Alex Gezerlis is Professor of Physics at the University of Guelph. Before moving to Canada, he worked in Germany, the United States, and Greece. He has received several research awards, grants, and allocations on supercomputing facilities. He has taught undergraduate and graduate courses on computational methods, as well as courses on quantum field theory, subatomic physics, and science communication.
Inhaltsangabe
Preface 1. Idiomatic Python 2. Numbers 3. Derivatives 4. Matrices 5. Zeroes and minima 6. Approximation 7. Integrals 8. Differential equations Appendix A. Installation and setup Appendix B. Number representations Appendix C. Math background Bibliography Index.
Preface 1. Idiomatic Python 2. Numbers 3. Derivatives 4. Matrices 5. Zeroes and minima 6. Approximation 7. Integrals 8. Differential equations Appendix A. Installation and setup Appendix B. Number representations Appendix C. Math background Bibliography Index.
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