computing: videos

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1. 1▶Numerical Algorithms for Computing & ML, fall 2025 (lecture 26): Leapfrog integration,adjoint methodJustin SolomonNotes
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2. 2▶Numerical Algorithms for Computing & ML, fall 2025 (lecture 25): Exponential/RK/Newmark integrationJustin SolomonNotes
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3. 3▶Numerical Algorithms for Computing & ML, fall 2025 (lecture 24): Ordinary differential equationsJustin SolomonNotes
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4. 4▶Numerical Algorithms for Computing & ML, fall 2025 (lecture 23): Numerical integrals and derivativesJustin SolomonNotes
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5. 5▶Numerical Algorithms for Computing & ML, fall 2025 (lecture 22): 1D Quadrature/Numerical IntegrationJustin SolomonNotes
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6. 6▶Numerical Algorithms for Computing & ML, fall 2025 (lecture 21): InterpolationJustin SolomonNotes
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7. 7▶Numerical Algorithms for Computing & ML, fall 2025 (lecture 20): Alternating optimization and ADMMJustin SolomonNotes
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8. 8▶Numerical Algorithms for Computing & ML, fall 2025 (lecture 19): Gauss-Newton, Levenberg-MarquardtJustin SolomonNotes
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9. 9▶Numerical Algorithms for Computing & ML, fall 2025 (lecture 18): Conjugate gradient algorithmJustin SolomonNotes
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10. 10▶Numerical Algorithms for Computing & ML, fall 2025 (lecture 17): Active set, barrier, intro to CGJustin SolomonNotes
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11. 11▶Numerical Algorithms for Computing & ML, fall 2025 (lecture 16): Constrained optim., KKT conditionsJustin SolomonNotes
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12. 12▶Numerical Algorithms for Computing & ML, fall 2025 (lecture 15): BFGS and Quasi-Newton MethodsJustin SolomonNotes
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13. 13▶Numerical Algorithms for Computing & ML, fall 2025 (lecture 14): Convergence of gradient descentJustin SolomonNotes
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14. 14▶Numerical Algorithms for Computing & ML, fall 2025 (lecture 13): Golden sec search, Wolfe conditionsJustin SolomonNotes
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15. 15▶Numerical Algorithms for Computing & ML, fall 2025 (lecture 12): Broyden's method, root findingJustin SolomonNotes
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16. 16▶Lecture 12.2: The mechanics of function calls (part 2) - Richard Buckland UNSWCS1: Higher Computing - Richard Buckland UNSWNotes
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17. 17▶Lecture 11: What to do when things go wrong? Richard Buckland UNSWCS1: Higher Computing - Richard Buckland UNSWNotes
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18. 18▶Lecture 12.1: The mechanics of function calls - Richard Buckland UNSWCS1: Higher Computing - Richard Buckland UNSWNotes
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19. 19▶Revision Lecture 8.2: COMP1917 Higher Computing - Richard Buckland UNSWCS1: Higher Computing - Richard Buckland UNSWNotes
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20. 20▶Revision Lecture 8.1: COMP1917 Higher Computing - Richard Buckland UNSWCS1: Higher Computing - Richard Buckland UNSWNotes
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21. 21▶Lecture 10: Functions - Richard Buckland UNSWCS1: Higher Computing - Richard Buckland UNSWNotes
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22. 22▶Lecture 9: A simple recursive function - Richard Buckland UNSWCS1: Higher Computing - Richard Buckland UNSWNotes
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23. 23▶Lecture 8: writing a simple C program - Richard BucklandCS1: Higher Computing - Richard Buckland UNSWNotes
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24. 24▶Lecture 7: Side Effects - Richard Buckland UNSW 2008CS1: Higher Computing - Richard Buckland UNSWNotes
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25. 25▶Lecture 6: Solving Problems - Richard Buckland UNSW 2008CS1: Higher Computing - Richard Buckland UNSWNotes
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26. 26▶Lecture 5: Clarity (C programming #2) - Richard Buckland UNSWCS1: Higher Computing - Richard Buckland UNSWNotes
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27. 27▶Lecture 4: Simple C Program - Richard Buckland UNSWCS1: Higher Computing - Richard Buckland UNSWNotes
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28. 28▶Lecture 3: Machine Code - Richard Buckland UNSWCS1: Higher Computing - Richard Buckland UNSWNotes
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29. 29▶Lecture 2: Inside a computer - Richard Buckland UNSWCS1: Higher Computing - Richard Buckland UNSWNotes
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30. 30▶Lecture 1: Higher Computing - Richard Buckland UNSW 2008CS1: Higher Computing - Richard Buckland UNSWNotes
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