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 | | durée | vues | |
 | Student Video: Quantum Time Evolution Using the Split Operator Fourier Transform Algorithm | 12:28 | 552 | |
 | Student Video: Mohr's Circles | 10:25 | 547 | |
 | Student Video: Crystallography, a Visualisation Tool for CS, BCC and FCC Bravais Lattice Structures. | 12:58 | 301 | |
 | Student Video: Nanoparticle-polymer Network | 12:59 | 331 | |
 | Student Video: Particle in a Tube | 4:33 | 403 | |
 | Video del estudiante: Una introducción básica y divertida a las estructuras cristalinas (español) | 11:22 | 131 | |
 | Student Video: Hooke's Law in Cubic Solids | 6:42 | 161 | |
 | Student Video: Thin Film Rainbows | 10:55 | 558 | |
 | Student Video: Visualizing the Energies of Screw Dislocations | 10:80 | 721 | |
 | Student Video: Mohr’s Circle | 9:40 | 337 | |
 | Student Video: A Basic and Fun Introduction to Crystalline Structures (English) | 11:27 | 198 | |
 | Student Video: Real and Reciprocal Space in 2D and 3D | 7:18 | 599 | |
 | Student Video: 2D Brillouin Zones | 10:18 | 972 | |
 | Vidéo étudiante: Transfert de chaleur dans un matériau | 11:59 | 166 | |
 | Video de l'estudiant: superfícies d'energia potencial | 15:19 | 576 | |
 | Student Video: Fluid Flow in Pipes and Rivers | 6:21 | 406 | |
 | 36. Alan Edelman and Julia Language | 38:11 | 7 744 | |
 | 35. Finding Clusters in Graphs | 34:49 | 6 798 | |
 | 34. Distance Matrices, Procrustes Problem | 29:17 | 3 154 | |
 | 33. Neural Nets and the Learning Function | 56:70 | 6 219 | |
 | 32. ImageNet is a Convolutional Neural Network (CNN), The Convolution Rule | 47:19 | 4 940 | |
 | 31. Eigenvectors of Circulant Matrices: Fourier Matrix | 52:37 | 2 835 | |
 | 30. Completing a Rank-One Matrix, Circulants! | 49:53 | 2 592 | |
 | 26. Structure of Neural Nets for Deep Learning | 53:17 | 6 457 | |
 | 27. Backpropagation: Find Partial Derivatives | 52:38 | 4 199 | |
 | 25. Stochastic Gradient Descent | 53:30 | 6 049 | |
 | 24. Linear Programming and Two-Person Games | 53:34 | 3 739 | |
 | 23. Accelerating Gradient Descent (Use Momentum) | 49:20 | 4 203 | |
 | 22. Gradient Descent: Downhill to a Minimum | 52:44 | 4 498 | |
 | 21. Minimizing a Function Step by Step | 53:45 | 3 824 | |
 | 20. Definitions and Inequalities | 55:10 | 3 195 | |
 | 19. Saddle Points Continued, Maxmin Principle | 52:13 | 2 796 | |
 | 18. Counting Parameters in SVD, LU, QR, Saddle Points | 49:00 | 3 326 | |
 | 17. Rapidly Decreasing Singular Values | 50:34 | 4 763 | |
 | 16. Derivatives of Inverse and Singular Values | 43:80 | 3 432 | |
 | 15. Matrices A(t) Depending on t, Derivative = dA/dt | 50:52 | 4 479 | |
 | 14. Low Rank Changes in A and Its Inverse | 50:34 | 4 778 | |
 | 13. Randomized Matrix Multiplication | 52:24 | 4 961 | |
 | 12. Computing Eigenvalues and Singular Values | 49:28 | 5 519 | |
 | 11. Minimizing _x_ Subject to Ax = b | 50:22 | 6 142 | |
 | 10. Survey of Difficulties with Ax = b | 49:36 | 6 925 | |
 | 9. Four Ways to Solve Least Squares Problems | 49:51 | 9 581 | |
 | 8. Norms of Vectors and Matrices | 49:21 | 13 033 | |
 | 6. Singular Value Decomposition (SVD) | 53:34 | 16 066 | |
 | 5. Positive Definite and Semidefinite Matrices | 45:27 | 12 379 | |
 | 4. Eigenvalues and Eigenvectors | 48:56 | 17 364 | |
 | 3. Orthonormal Columns in Q Give Q'Q = I | 49:24 | 15 470 | |
 | 2. Multiplying and Factoring Matrices | 48:26 | 27 556 | |
 | 1. The Column Space of A Contains All Vectors Ax | 52:15 | 62 208 | |
 | Course Introduction of 18.065 by Professor Strang | 7:40 | 125 086 | |
 | 34. Electronic Spectroscopy and Photochemistry | 50:27 | 1 133 | |
 | 24. Baumol's Disease | 1:21:40 | 855 | |
 | 22. Public Transportation Systems | 1:23:20 | 673 | |
 | 21. Fare Policy, Structure, and Technology | 1:22:25 | 254 | |
 | 20. Transit Service Reliability | 1:28:50 | 207 | |
 | 19. Transit Signal Priority | 1:23:40 | 270 | |
 | 17. Customer Information Strategies | 1:23:40 | 244 | |
 | 13. Vehicle Scheduling | 54:19 | 398 | |
 | 10. Origin, Destination, and Transfer Inference | 1:24:20 | 180 | |
 | 9. Performance Models | 1:21:54 | 228 | |
 | 8. Ridership Forecasting | 1:18:70 | 213 | |
 | 7. Cost Estimation | 1:24:17 | 562 | |
 | 6. Modal Capacities and Costs | 55:49 | 219 | |
 | 5. Short-range Planning (cont.) | 1:15:39 | 230 | |
 | 4. Short-range Planning | 1:03:34 | 423 | |
 | 3. Modal Characteristics and Roles | 1:16:50 | 527 | |
 | 2. Data Collection Techniques and Program Design | 1:28:10 | 1 921 | |
 | 1. Introduction (for 1.258J Public Transportation Systems, Spring 2017) | 48:25 | 13 874 | |
 | Spring 2019 Update from the Dean | 5:13 | 12 145 | |
 | Innovación en tecnología pública con implementación en el mundo real | 1:21 | 1 087 | |
 | Innovations Across the Agriculture Value Chain: An Opportunity for Entrepreneurs | 11:17 | 981 | |
 | An Interview with Anjali Sastry on Facilitating a Customized Learning Experience for Sloan Fellows | 19:13 | 2 907 | |
 | Usando a tecnologia para melhorar a agricultura de pequeno porte no Brasil | 1:10 | 582 | |
 | Using Technology to Improve Small Farming in Brazil | 8:10 | 1 023 | |
 | Public Tech Innovation with Real-world Implementation | 7:41 | 489 | |
 | Happy Pi Day! | 1:60 | 11 147 | |
 | Pi Day is almost here! | 0:23 | 12 184 | |
 | Pi is... | 1:22 | 12 956 | |
 | L1.1 General problem. Non-degenerate perturbation theory | 22:56 | 53 545 | |
 | L14.1 Gauge invariance of the Schrodinger Equation | 21:90 | 4 272 | |
 | L13.1 Transition rates induced by thermal radiation | 17:51 | 1 575 | |
 | L22.2 First Born Approximation. Calculation of the scattering amplitude | 13:30 | 4 405 | |
 | L4.2 The uncoupled and coupled basis states for the spectrum | 17:12 | 1 811 | |
 | L6.5 Semiclassical approximation and local de Broglie wavelength | 23:30 | 1 788 | |
 | L19.2 Energy eigenstates: incident and outgoing waves. Scattering amplitude | 25:30 | 1 521 | |
 | L7.4 Connection formula stated and example | 21:10 | 1 396 | |
 | L19.4 Differential as a sum of partial waves | 17:47 | 2 078 | |
 | L17.4 Molecules and energy scales | 17:58 | 1 134 | |
 | L2.3 Degenerate Perturbation theory: Example and setup | 25:21 | 4 688 | |
 | L12.5 Atom-light interactions: dipole operator | 11:11 | 1 101 | |
 | L19.1 Elastic scattering defined and assumptions | 15:36 | 1 851 | |
 | L3.3 Degeneracy resolved to second order | 18:28 | 1 371 | |
 | L24.3 The symmetrization postulate | 11:39 | 731 | |
 | L8.1 Airy functions as integrals in the complex plane | 17:55 | 1 361 | |
 | L16.5 Landau-Zener transitions (continued) | 14:19 | 1 018 | |
 | L16.3 Error in the adiabatic approximation | 14:22 | 978 | |
 | L1.4 First order correction to the state. Second order correction to energy | 13:45 | 4 542 | |
 | L9.2 The interaction picture equation in an orthonormal basis | 15:70 | 1 023 | |
 | L2.1 Remarks and validity of the perturbation series | 22:28 | 3 197 | |
 | L11.4 Ionization of hydrogen: matrix element for transition | 22:21 | 669 | |
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