Download Udemy - Monte Carlo simulations using Matlab torrent

Udemy - Monte Carlo simulations using Matlab

Torrent:	Udemy - Monte Carlo simulations using Matlab
Description:	Monte Carlo simulations using Matlab MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning \| Language: English + srt \| Duration: 34 lectures (3h 42m) \| Size: 1.25 GB From randomness to statistical results! What you'll learn: Monte Carlo Reliability Availability Mantainability Monte Carlo simulations Probability Risk management Monte Carlo integration Decision making problems Decision making tools Monty Hall thought experiment Risk analisys through Monte Carlo Requirements Basic programming knowledge on any language (matlab experience is a plus) Basic probabilistic and statistics knowledge is desired A matlab license An internet connection Description Monte Carlo allows us to get statistical trends on systems that normally would be far too complex to study via deterministic approaches. Nowadays engineering and scientific fields are counting more and more on this powerful method to get statistical trends on the behaviour of increasingly growing complexity machinery, systems, and scientific models. Imagine having a system with +1000 components that can each fail at any given time. Imagine furthermore that we need to predict how the complete system is going to fail depending on those +1000 components. The statistical equations product of this would be unbearable to calculate via traditional approaches, thus Monte Carlo has been and is still used widely in the reliability engineering field.
Downloads:	72
Category:	Other /Tutorials
Size:	1.5 GB
Show Files »	[ CourseBoat.com ] Udemy - Monte Carlo simulations using Matlab Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Introduction 1. Course scope what to expect.mp4 (58.2 MB) 1. Course scope what to expect.srt (6.0 KB) 1.1 MATLAB From absolute scratch to the top! (a beginners course).html (0.2 KB) 2. Basic concepts 1. What is Monte Carlo.mp4 (55.8 MB) 1. What is Monte Carlo.srt (11.3 KB) 1.1 Monte Carlo algorithms an introduction.pdf (263.1 KB) 2. How to set up a monte carlo simulation.mp4 (34.3 MB) 2. How to set up a monte carlo simulation.srt (8.5 KB) 2.1 setting up a monte carlo simulation.pdf (395.1 KB) 3. Generating a discrete uniform random distribution.mp4 (18.1 MB) 3. Generating a discrete uniform random distribution.srt (3.2 KB) 4. Our first case study.mp4 (30.9 MB) 4. Our first case study.srt (5.7 KB) 5. The confidence intervals.mp4 (30.2 MB) 5. The confidence intervals.srt (8.7 KB) 6. Applying the confidence intervals concept to our first case study.mp4 (70.8 MB) 6. Applying the confidence intervals concept to our first case study.srt (9.6 KB) 7. Plotting the confidence intervals behaviour.mp4 (56.9 MB) 7. Plotting the confidence intervals behaviour.srt (6.7 KB) 3. The Monty Hall problem 1. Introduction.mp4 (5.2 MB) 1. Introduction.srt (1.8 KB) 1.1 The Monty Hall thought experiment..pdf (303.7 KB) 2. Answering the Monty Hall problem through a Monte Carlo method (Stay strategy).mp4 (24.2 MB) 2. Answering the Monty Hall problem through a Monte Carlo method (Stay strategy).srt (3.8 KB) 3. Answering the Monty Hall problem through a Monte Carlo method (Stay strategy) II.mp4 (73.4 MB) 3. Answering the Monty Hall problem through a Monte Carlo method (Stay strategy) II.srt (8.3 KB) 4. Answering the Monty Hall problem through a Monte Carlo method (Switch strategy).mp4 (78.0 MB) 4. Answering the Monty Hall problem through a Monte Carlo method (Switch strategy).srt (9.2 KB) 5. The Monty Hall problem explained.mp4 (24.2 MB) 5. The Monty Hall problem explained.srt (4.2 KB) 6. Bonus class The monty hall problem when there are 100 doors.mp4 (36.7 MB) 6. Bonus class The monty hall problem when there are 100 doors.srt (4.0 KB) 4. Uniform continuous random distribuitons in 2D. (Determining the value of pi) 1. Introduction.mp4 (39.5 MB) 1. Introduction.srt (4.9 KB) 2. Generating a continuous random distribution from a to b (in 1D).mp4 (59.4 MB) 2. Generating a continuous random distribution from a to b (in 1D).srt (5.7 KB) 3. Generating a continuous random distribution in 2D.mp4 (61.8 MB) 3. Generating a continuous random distribution in 2D.srt (7.6 KB) 4. Prooving our continious uniform random distribution.mp4 (83.0 MB) 4. Prooving our continious uniform random distribution.srt (10.6 KB) 5. Estimating pi using monte carlo (theoretical model).mp4 (10.0 MB) 5. Estimating pi using monte carlo (theoretical model).srt (3.1 KB) 5.1 Estimating the value of pi using monte carlo.pdf (235.7 KB) 6. Estimating pi via monte carlo.mp4 (56.9 MB) 6. Estimating pi via monte carlo.srt (7.1 KB) 7. CI for our PI estimation using Monte Carlo.mp4 (36.1 MB) 7. CI for our PI estimation using Monte Carlo.srt (4.3 KB) 5. Monte Carlo integration 1. The theory behind the monte carlo integration.mp4 (37.2 MB) 1. The theory behind the monte carlo integration.srt (4.3 KB) 1.1 introduction to monte carlo integration.pdf (381.3 KB) 2. Selecting a control area.mp4 (23.9 MB) 2. Selecting a control area.srt (4.2 KB) 3. Generating samples within the control area and selecting those below the curve.mp4 (64.6 MB) 3. Generating samples within the control area and selecting those below the curve.srt (8.5 KB) 4. Monte carlo integration for when f(x)0.mp4 (52.1 MB) 4. Monte carlo integration for when f(x)0.srt (5.9 KB) 5. The confidence intervals applied to our monte carlo integration process.mp4 (72.2 MB) 5. The confidence intervals applied to our monte carlo integration process.srt (8.0 KB) 6. Monte carlo applied to reliability studies 1. Introducing our case study.mp4 (8.1 MB) 1. Introducing our case study.srt (3.3 KB) 1.1 RAM case study.pdf (63.4 KB) 2. Introduction (the most basic concepts).mp4 (19.8 MB) 2. Introduction (the most basic concepts).srt (7.8 KB) 2.1 RAM presentation.pdf (79.1 KB) 3. How do things fail (the functions that govern the randomness of a variable).mp4 (36.5 MB) 3. How do things fail (the functions that govern the randomness of a variable).srt (9.6 KB) 3.1 How do things fail.pdf (115.8 KB) 4. Simulating times to failure of a given system using the exponential distribution.mp4 (76.5 MB) 4. Simulating times to failure of a given system using the exponential distribution.srt (14.1 KB) 4.1 v.mat (1.0 KB) 5. Simulating times to repair of a given system using the exponential distribution.mp4 (50.5 MB) 5. Simulating times to repair of a given system using the exponential distribution.srt (8.9 KB) 5.1 v_m.mat (1.0 KB) 6. Determining the availabilty of our system.mp4 (71.2 MB) 6. Determining the availabilty of our system.srt (11.7 KB) 7. Simulating improving the MTTR Vs Adding a second pump.mp4 (78.5 MB) 7. Simulating improving the MTTR Vs Adding a second pump.srt (11.1 KB) 7. Congratulations 1. Final class.mp4 (10.6 MB) 1. Final class.srt (1.2 KB) Bonus Resources.txt (0.3 KB) files
Added:	2021-10-02 11:03:57
Language:	English
Peers:	Seeders : 8 , Leechers : 8
Tags:	IT & Software MATLAB Udemy
Release name:	Udemy - Monte Carlo simulations using Matlab
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