Given an atomic DEVS model, simulation algorithms are methods to generate the model's legal behaviors which are trajectories not to reach to illegal states. (see Behavior of DEVS). [Zeigler84] originally introduced the algorithms that handle time variables related to lifespan and elapsed time by introducing two other time variables, last event time, , and next event time with the following relations: and where denotes the current time. And the remaining time, is equivalently computed as , apparently . Since the behavior of a given atomic DEVS model can be defined in two different views depending on the total state and the external transition function (refer to Behavior of DEVS), the simulation algorithms are also introduced in two different views as below. (Wikipedia).
A solar system, a simulation made with Excel
An Excel simulation of the solar system. You can see how things are recursively computed: the mutual gravity force from the locations, the accelerations, the velocities, and finally the updated locations. The solar eclipse is also shown. This is clip is intended to illustrate Chapter 24 Ap
From playlist Physics simulations
In this โDevOps explainedโ episode Dave Farley describes five DevOps best practices that help you to steer towards a successful outcome. What is DevOps and how can we make it happen? What are the DevOps principles that predict success? What do successful DevOps engineers and teams that pra
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DevOps Engineering Course for Beginners
What is DevOps in the context of software engineering? Learn all about DevOps in this comprehensive course for beginners with three technical tutorials. You will learn what DevOps is, continuous integration, continuous deployment strategies, and application performance management. Many Dev
From playlist DevOps Courses
MORE DevOps Practices Software Developers NEED to know!
In this episode, โMore DevOps Practicesโ Dave Farley describes six more DevOps best practices that help you to steer towards a successful outcome. What is DevOps and how can we make it happen? What are the DevOps principles that predict success? What do successful DevOps engineers and team
From playlist DevOps
!!Con 2016 - lol im so random! By Mark Wunsch
lol im so random! By Mark Wunsch Randomness has many applications in computing ranging from cryptography and statistics to generative art and simulation, but where does randomness come from? When you ask for a random number from your system, how truly random is it? This talk will explore
From playlist RailsConf 2016
Devops Real Time Scenarios | DevOps Realtime Issues, Best Practices And Examples | Simplilearn
This video on DevOps Real-Time Scenarios will help you understand several real-time challenges you may encounter while adopting DevOps practices. We shall have a look at the basics of DevOps and the advantages of DevOps. We will learn about Real-time scenarios divided into four parts: Cont
From playlist DevOps Tutorial For Beginners ๐ฅ | Simplilearn [Updated]
Stanford Seminar - Runway: A New Tool for Distributed Systems Design
EE380: Colloquium on Computer Systems Runway: A New Tool for Distributed Systems Design Speaker: Diego Ongaro, Salesforce Distributed systems are notoriously difficult to get right. We're constantly improving the frameworks we use and the way we test production code, yet we rarely inves
From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series
Julien Tierny (5/19/20): An Introduction to the Topology ToolKit
Title: An Introduction to the Topology ToolKit Abstract: This talk gives a global overview of the Topology ToolKit (TTK), an open-source library for topological data analysis and visualization. After introducing the main concepts behind TTK's usage, I will demo how to use it with simple e
From playlist Tutorials
Build a Heap - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Lecture 13 - Debugging ML Models and Error Analysis | Stanford CS229: Machine Learning (Autumn 2018)
For more information about Stanfordโs Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3E2bjyY Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus, visit: http://cs229.sta
From playlist Stanford CS229: Machine Learning Full Course taught by Andrew Ng | Autumn 2018
Integration 10 Numerical Integration Video 1 Part 2.mov
Discussion on numerical integration using Trapezoidal Sums.
From playlist Integration
What is DevSecOps? As teams adopt Continuous Delivery, DevOps, CI/CD for software development, being able to create systems that are safe and secure at speed, with great feedback and with high-quality becomes ever more important. Using software engineering disciplines like Continuous Del
From playlist DevOps
How to make a viral video -- Day 6
doing a few visualizations. Almost there guys! -- Watch live at https://www.twitch.tv/simuleios
From playlist Viral videos
How a CPU Works in 100 Seconds // Apple Silicon M1 vs Intel i9
Learn how the central processing unit (CPU) works in your computer. Compare performance and processor architecture between the Intel and Apple Silicon M1 chips with @AZisk #compsci #tech #100SecondsOfCode ๐ฅ Subscribe to Alex's Channel ๐ฅ https://www.youtube.com/channel/UCajiMK_CY9icRhLe
From playlist CS101
Sandra van Aert - 3D atomic resolution through dose-efficient fusion of image & analytical technique
Recorded 26 October 2022. Sandra van Aert of the University of Antwerp presents "3D atomic resolution reconstructions through dose-efficient fusion of imaging techniques and analytical techniques in quantitative STEM" at IPAM's Mathematical Advances for Multi-Dimensional Microscopy Worksho
From playlist 2022 Mathematical Advances for Multi-Dimensional Microscopy
Yongsoo Yang - Neural network-assisted atomic electron tomography - IPAM at UCLA
Recorded 26 October 2022. Yongsoo Yang of the Korea Advanced Institute of Science and Technology presents "Neural network-assisted atomic electron tomography" at IPAM's Mathematical Advances for Multi-Dimensional Microscopy Workshop. Abstract: Functional properties of nanomaterials strongl
From playlist 2022 Mathematical Advances for Multi-Dimensional Microscopy
DevOps Training | DevOps Training Video | DevOps Tools | DevOps Tutorial For Beginners | Simplilearn
This DevOps Training video will help you learn what is DevOps, the lifecycle of DevOps, different tools used in DevOps life cycle, version control system, continuous integration, and deployment. You will also understand how DevOps performs configuration management, containerization and con
From playlist DevOps Tools Tutorial Videos | Simplilearn๐ฅ[2022 Updated]
Lec 14 | MIT 3.320 Atomistic Computer Modeling of Materials
Molecular Dynamics II View the complete course at: http://ocw.mit.edu/3-320S05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 3.320 Atomistic Computer Modeling of Materials
New Architectures for a New Biology
October 11, 2006 lecture by David E. Shaw for the Stanford University Computer Systems Colloquium (EE 380). This talk describes the current state of the art in biomolecular simulation and explore the potential role of high-performance computing technologies in extending current capabili
From playlist Course | Computer Systems Laboratory Colloquium (2006-2007)
What is DevSecOps | Overview of DevSecOps | DevOps Training | Edureka
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฏ๐๐ฉ๐ฌ ๐๐จ๐ฌ๐ญ ๐๐ซ๐๐๐ฎ๐๐ญ๐ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ ๐ฐ๐ข๐ญ๐ก ๐๐ฎ๐ซ๐๐ฎ๐ ๐๐ง๐ข๐ฏ๐๐ซ๐ฌ๐ข๐ญ๐ฒ: https://www.edureka.co/executive-programs/purdue-devops This Edureka video explains "what is DevSecOps" in a simple comprehensive fashion. DevSecOps is an amalgamation of Development, Operations, and Security wherein the securit
From playlist DevOps Training Videos