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1.1 introduction to monte carlo integration.pdf |
381.33Кб |
1.1 MATLAB From absolute scratch to the top! (a beginners course).html |
164б |
1.1 Monte Carlo algorithms an introduction.pdf |
263.09Кб |
1.1 RAM case study.pdf |
63.37Кб |
1.1 The Monty Hall thought experiment..pdf |
303.71Кб |
1. Course scope what to expect.mp4 |
58.17Мб |
1. Course scope what to expect.srt |
6.03Кб |
1. Final class.mp4 |
10.55Мб |
1. Final class.srt |
1.21Кб |
1. Introducing our case study.mp4 |
8.15Мб |
1. Introducing our case study.srt |
3.26Кб |
1. Introduction.mp4 |
5.21Мб |
1. Introduction.mp4 |
39.52Мб |
1. Introduction.srt |
1.82Кб |
1. Introduction.srt |
4.86Кб |
1. The theory behind the monte carlo integration.mp4 |
37.16Мб |
1. The theory behind the monte carlo integration.srt |
4.31Кб |
1. What is Monte Carlo.mp4 |
55.78Мб |
1. What is Monte Carlo.srt |
11.27Кб |
2.1 RAM presentation.pdf |
79.12Кб |
2.1 setting up a monte carlo simulation.pdf |
395.11Кб |
2. Answering the Monty Hall problem through a Monte Carlo method (Stay strategy).mp4 |
24.18Мб |
2. Answering the Monty Hall problem through a Monte Carlo method (Stay strategy).srt |
3.80Кб |
2. Generating a continuous random distribution from a to b (in 1D).mp4 |
59.38Мб |
2. Generating a continuous random distribution from a to b (in 1D).srt |
5.66Кб |
2. How to set up a monte carlo simulation.mp4 |
34.32Мб |
2. How to set up a monte carlo simulation.srt |
8.52Кб |
2. Introduction (the most basic concepts).mp4 |
19.76Мб |
2. Introduction (the most basic concepts).srt |
7.84Кб |
2. Selecting a control area.mp4 |
23.88Мб |
2. Selecting a control area.srt |
4.18Кб |
3.1 How do things fail.pdf |
115.76Кб |
3. Answering the Monty Hall problem through a Monte Carlo method (Stay strategy) II.mp4 |
73.41Мб |
3. Answering the Monty Hall problem through a Monte Carlo method (Stay strategy) II.srt |
8.32Кб |
3. Generating a continuous random distribution in 2D.mp4 |
61.77Мб |
3. Generating a continuous random distribution in 2D.srt |
7.56Кб |
3. Generating a discrete uniform random distribution.mp4 |
18.15Мб |
3. Generating a discrete uniform random distribution.srt |
3.20Кб |
3. Generating samples within the control area and selecting those below the curve.mp4 |
64.56Мб |
3. Generating samples within the control area and selecting those below the curve.srt |
8.50Кб |
3. How do things fail (the functions that govern the randomness of a variable).mp4 |
36.49Мб |
3. How do things fail (the functions that govern the randomness of a variable).srt |
9.56Кб |
4.1 v.mat |
995б |
4. Answering the Monty Hall problem through a Monte Carlo method (Switch strategy).mp4 |
77.96Мб |
4. Answering the Monty Hall problem through a Monte Carlo method (Switch strategy).srt |
9.16Кб |
4. Monte carlo integration for when f(x)0.mp4 |
52.14Мб |
4. Monte carlo integration for when f(x)0.srt |
5.89Кб |
4. Our first case study.mp4 |
30.87Мб |
4. Our first case study.srt |
5.71Кб |
4. Prooving our continious uniform random distribution.mp4 |
83.00Мб |
4. Prooving our continious uniform random distribution.srt |
10.58Кб |
4. Simulating times to failure of a given system using the exponential distribution.mp4 |
76.47Мб |
4. Simulating times to failure of a given system using the exponential distribution.srt |
14.11Кб |
5.1 Estimating the value of pi using monte carlo.pdf |
235.67Кб |
5.1 v_m.mat |
1003б |
5. Estimating pi using monte carlo (theoretical model).mp4 |
9.96Мб |
5. Estimating pi using monte carlo (theoretical model).srt |
3.09Кб |
5. Simulating times to repair of a given system using the exponential distribution.mp4 |
50.50Мб |
5. Simulating times to repair of a given system using the exponential distribution.srt |
8.90Кб |
5. The confidence intervals.mp4 |
30.23Мб |
5. The confidence intervals.srt |
8.69Кб |
5. The confidence intervals applied to our monte carlo integration process.mp4 |
72.24Мб |
5. The confidence intervals applied to our monte carlo integration process.srt |
8.02Кб |
5. The Monty Hall problem explained.mp4 |
24.22Мб |
5. The Monty Hall problem explained.srt |
4.24Кб |
6. Applying the confidence intervals concept to our first case study.mp4 |
70.83Мб |
6. Applying the confidence intervals concept to our first case study.srt |
9.65Кб |
6. Bonus class The monty hall problem when there are 100 doors.mp4 |
36.68Мб |
6. Bonus class The monty hall problem when there are 100 doors.srt |
3.97Кб |
6. Determining the availabilty of our system.mp4 |
71.21Мб |
6. Determining the availabilty of our system.srt |
11.71Кб |
6. Estimating pi via monte carlo.mp4 |
56.93Мб |
6. Estimating pi via monte carlo.srt |
7.10Кб |
7. CI for our PI estimation using Monte Carlo.mp4 |
36.14Мб |
7. CI for our PI estimation using Monte Carlo.srt |
4.33Кб |
7. Plotting the confidence intervals behaviour.mp4 |
56.90Мб |
7. Plotting the confidence intervals behaviour.srt |
6.68Кб |
7. Simulating improving the MTTR Vs Adding a second pump.mp4 |
78.47Мб |
7. Simulating improving the MTTR Vs Adding a second pump.srt |
11.12Кб |
Bonus Resources.txt |
357б |
Get Bonus Downloads Here.url |
180б |