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Please note that this page does not hosts or makes available any of the listed filenames. You
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| 1.1 introduction to monte carlo integration.pdf |
381.33KB |
| 1.1 MATLAB From absolute scratch to the top! (a beginners course).html |
164B |
| 1.1 Monte Carlo algorithms an introduction.pdf |
263.09KB |
| 1.1 RAM case study.pdf |
63.37KB |
| 1.1 The Monty Hall thought experiment..pdf |
303.71KB |
| 1. Course scope what to expect.mp4 |
58.17MB |
| 1. Course scope what to expect.srt |
6.03KB |
| 1. Final class.mp4 |
10.55MB |
| 1. Final class.srt |
1.21KB |
| 1. Introducing our case study.mp4 |
8.15MB |
| 1. Introducing our case study.srt |
3.26KB |
| 1. Introduction.mp4 |
5.21MB |
| 1. Introduction.mp4 |
39.52MB |
| 1. Introduction.srt |
1.82KB |
| 1. Introduction.srt |
4.86KB |
| 1. The theory behind the monte carlo integration.mp4 |
37.16MB |
| 1. The theory behind the monte carlo integration.srt |
4.31KB |
| 1. What is Monte Carlo.mp4 |
55.78MB |
| 1. What is Monte Carlo.srt |
11.27KB |
| 2.1 RAM presentation.pdf |
79.12KB |
| 2.1 setting up a monte carlo simulation.pdf |
395.11KB |
| 2. Answering the Monty Hall problem through a Monte Carlo method (Stay strategy).mp4 |
24.18MB |
| 2. Answering the Monty Hall problem through a Monte Carlo method (Stay strategy).srt |
3.80KB |
| 2. Generating a continuous random distribution from a to b (in 1D).mp4 |
59.38MB |
| 2. Generating a continuous random distribution from a to b (in 1D).srt |
5.66KB |
| 2. How to set up a monte carlo simulation.mp4 |
34.32MB |
| 2. How to set up a monte carlo simulation.srt |
8.52KB |
| 2. Introduction (the most basic concepts).mp4 |
19.76MB |
| 2. Introduction (the most basic concepts).srt |
7.84KB |
| 2. Selecting a control area.mp4 |
23.88MB |
| 2. Selecting a control area.srt |
4.18KB |
| 3.1 How do things fail.pdf |
115.76KB |
| 3. Answering the Monty Hall problem through a Monte Carlo method (Stay strategy) II.mp4 |
73.41MB |
| 3. Answering the Monty Hall problem through a Monte Carlo method (Stay strategy) II.srt |
8.32KB |
| 3. Generating a continuous random distribution in 2D.mp4 |
61.77MB |
| 3. Generating a continuous random distribution in 2D.srt |
7.56KB |
| 3. Generating a discrete uniform random distribution.mp4 |
18.15MB |
| 3. Generating a discrete uniform random distribution.srt |
3.20KB |
| 3. Generating samples within the control area and selecting those below the curve.mp4 |
64.56MB |
| 3. Generating samples within the control area and selecting those below the curve.srt |
8.50KB |
| 3. How do things fail (the functions that govern the randomness of a variable).mp4 |
36.49MB |
| 3. How do things fail (the functions that govern the randomness of a variable).srt |
9.56KB |
| 4.1 v.mat |
995B |
| 4. Answering the Monty Hall problem through a Monte Carlo method (Switch strategy).mp4 |
77.96MB |
| 4. Answering the Monty Hall problem through a Monte Carlo method (Switch strategy).srt |
9.16KB |
| 4. Monte carlo integration for when f(x)0.mp4 |
52.14MB |
| 4. Monte carlo integration for when f(x)0.srt |
5.89KB |
| 4. Our first case study.mp4 |
30.87MB |
| 4. Our first case study.srt |
5.71KB |
| 4. Prooving our continious uniform random distribution.mp4 |
83.00MB |
| 4. Prooving our continious uniform random distribution.srt |
10.58KB |
| 4. Simulating times to failure of a given system using the exponential distribution.mp4 |
76.47MB |
| 4. Simulating times to failure of a given system using the exponential distribution.srt |
14.11KB |
| 5.1 Estimating the value of pi using monte carlo.pdf |
235.67KB |
| 5.1 v_m.mat |
1003B |
| 5. Estimating pi using monte carlo (theoretical model).mp4 |
9.96MB |
| 5. Estimating pi using monte carlo (theoretical model).srt |
3.09KB |
| 5. Simulating times to repair of a given system using the exponential distribution.mp4 |
50.50MB |
| 5. Simulating times to repair of a given system using the exponential distribution.srt |
8.90KB |
| 5. The confidence intervals.mp4 |
30.23MB |
| 5. The confidence intervals.srt |
8.69KB |
| 5. The confidence intervals applied to our monte carlo integration process.mp4 |
72.24MB |
| 5. The confidence intervals applied to our monte carlo integration process.srt |
8.02KB |
| 5. The Monty Hall problem explained.mp4 |
24.22MB |
| 5. The Monty Hall problem explained.srt |
4.24KB |
| 6. Applying the confidence intervals concept to our first case study.mp4 |
70.83MB |
| 6. Applying the confidence intervals concept to our first case study.srt |
9.65KB |
| 6. Bonus class The monty hall problem when there are 100 doors.mp4 |
36.68MB |
| 6. Bonus class The monty hall problem when there are 100 doors.srt |
3.97KB |
| 6. Determining the availabilty of our system.mp4 |
71.21MB |
| 6. Determining the availabilty of our system.srt |
11.71KB |
| 6. Estimating pi via monte carlo.mp4 |
56.93MB |
| 6. Estimating pi via monte carlo.srt |
7.10KB |
| 7. CI for our PI estimation using Monte Carlo.mp4 |
36.14MB |
| 7. CI for our PI estimation using Monte Carlo.srt |
4.33KB |
| 7. Plotting the confidence intervals behaviour.mp4 |
56.90MB |
| 7. Plotting the confidence intervals behaviour.srt |
6.68KB |
| 7. Simulating improving the MTTR Vs Adding a second pump.mp4 |
78.47MB |
| 7. Simulating improving the MTTR Vs Adding a second pump.srt |
11.12KB |
| Bonus Resources.txt |
357B |
| Get Bonus Downloads Here.url |
180B |