The Shifting Bottleneck Heuristic is a procedure intended to minimize the time it takes to do work, or specifically, the makespan in a job shop. The makespan is defined as the amount of time, from start to finish, to complete a set of multi-machine jobs where machine order is pre-set for each job. Assuming that the jobs are actually competing for the same resources (machines) then there will always be one or more resources that act as a 'bottleneck' in the processing. This heuristic, or 'rule of thumb' procedure minimises the effect of the bottleneck. The Shifting Bottleneck Heuristic is intended for job shops with a finite number of jobs and a finite number of machines. (Wikipedia).
Equilibrium occurs when the overall state of a system is constant. Equilibrium can be static (nothing in the system is changing), or dynamic (little parts of the system are changing, but overall the state isn't changing). In my video, I'll demonstrate systems in both types of equilibrium,
From playlist Physics
Fourier Transforms: Second Shifting Theorem
Free ebook https://bookboon.com/en/partial-differential-equations-ebook A shifting theorem from Fourier transforms is presented and proven. An example is discussed illustrating how to apply the result. Such ideas have the ability to help solve partial differential equations.
From playlist Partial differential equations
Fourier transforms: Shifting theorem
Free ebook https://bookboon.com/en/partial-differential-equations-ebook First shifting theorem of Fourier transforms. The result is presented, proved and applied. Such ideas find important applications in solving partial differential equations.
From playlist Partial differential equations
Optimizing Shift Schedule to Maximize Fuel Economy
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Optimize 20 parameters in a shift schedule to maximize fuel economy for a dual-clutch transmission. Global optimization algorithms and parallel computing are used to accele
From playlist Physical Modeling
Stochastic Resetting - CEB T2 2017 - Evans - 2/3
Martin Evans (Edinburgh) - 10/05/2017 Stochastic Resetting We consider resetting a stochastic process by returning to the initial condition with a fixed rate. Resetting is a simple way of generating a nonequilibrium stationary state in the sense that the process is held away from any eq
From playlist 2017 - T2 - Stochastic Dynamics out of Equilibrium - CEB Trimester
Second shifting theorem of Laplace transforms
Download the free PDF from http://tinyurl.com/EngMathYT This video shows how to apply the second shifting theorem of Laplace transforms. Several examples are presented to illustrate how to use the concepts. Such ideas are seen in university mathematics.
From playlist Engineering Mathematics
Capacity Scaling | Network Flow | Graph Theory
Explanation video of the capacity scaling heuristic on flow networks Next video: https://youtu.be/hZqiLIaIEFg Ford Fulkerson explanation video: https://www.youtube.com/watch?v=LdOnanfc5TM Ford Fulkerson source code video: https://www.youtube.com/watch?v=Xu8jjJnwvxE Algorithms repositor
From playlist Network Flow playlist
RepNet: Counting Out Time - Class Agnostic Video Repetition Counting in the Wild (Paper Explained)
Counting repeated actions in a video is one of the easiest tasks for humans, yet remains incredibly hard for machines. RepNet achieves state-of-the-art by creating an information bottleneck in the form of a temporal self-similarity matrix, relating video frames to each other in a way that
From playlist Papers Explained
635: The Perils of Manually Labeling Data for Machine Learning Models — with Shayan Mohanty
#DataLabeling #MachineLearning #InformationBias Hand labeling data and information bias: @JonKrohnLearns speaks with Watchful CEO Shayan Mohanty about the pitfalls of data analysis when bias comes into the equation (spoiler alert: it always does), the importance of the Chomsky hierarchy i
From playlist Super Data Science Podcast
Stochastic Resetting - CEB T2 2017 - Evans - 1/3
Martin Evans (Edinburgh) - 09/05/2017 Stochastic Resetting We consider resetting a stochastic process by returning to the initial condition with a fixed rate. Resetting is a simple way of generating a nonequilibrium stationary state in the sense that the process is held away from any eq
From playlist 2017 - T2 - Stochastic Dynamics out of Equilibrium - CEB Trimester
Pre-Calculus - Applying a shift transformation to a function
This video covers how to apply a shift type of transformation to a function. Several examples are provided that shift up/down, and left/right, using the square root function and the absolute value function. For more videos please visit http://www.mysecretmathtutor.com
From playlist Pre-Calculus
Kirsten Eisentraeger - Classical and quantum algorithms for isogeny problems - IPAM at UCLA
Recorded 26 January 2022. Kirsten Eisentraeger of Pennsylvania State University presents "Classical and quantum algorithms for isogeny problems" at IPAM's Quantum Numerical Linear Algebra Workshop. Abstract: Isogeny-based cryptography is one of a few candidates for post-quantum cryptograph
From playlist Quantum Numerical Linear Algebra - Jan. 24 - 27, 2022
AI-Augmented Autonomy for Space Robots - Ravi Lanka - 10/25/2019
AI-4-Science Workshop, October 25, 2019 at Bechtel Residence Dining Hall, Caltech. Learn more about: - AI-4-science: https://www.ist.caltech.edu/ai4science/ - Events: https://www.ist.caltech.edu/events/ Produced in association with Caltech Academic Media Technologies. ©2019 California I
From playlist AI-4-Science Workshop
Stochastic Resetting - CEB T2 2017 - Evans - 3/3
Martin Evans (Edinburgh) - 12/05/2017 Stochastic Resetting We consider resetting a stochastic process by returning to the initial condition with a fixed rate. Resetting is a simple way of generating a nonequilibrium stationary state in the sense that the process is held away from any eq
From playlist 2017 - T2 - Stochastic Dynamics out of Equilibrium - CEB Trimester
Strategic Exploration via State Abstraction from Rich Observations - John Langford
Workshop on New Directions in Reinforcement Learning and Control Topic: Strategic Exploration via State Abstraction from Rich Observations Speaker: John Langford Affiliation: Microsoft Date: November 8, 2019 For more video please visit http://video.ias.edu
From playlist Mathematics
NERSC: the mission HPC facility for DOE office of scientific research: Prabhat, NERSC
You can view the full event here: https://www.youtube.com/playlist?list=PLuD_SqLtxSdUVT_2SSPzZSC__kAxpkm8w Dr Prabhat Leads the Data and Analytics Services team at the US National Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Lab About the event Collectively
From playlist Data Sciences for Climate and Environment
Deep Learning 6: Deep Learning for NLP
From playlist Learning resources
Dinic's Algorithm | Network Flow | Graph Theory
Explanation of Dinic's network flow algorithm Next Video: https://youtu.be/_SdF4KK_dyM Ford Fulkerson explanation video: https://www.youtube.com/watch?v=LdOnanfc5TM Ford Fulkerson source code video: https://www.youtube.com/watch?v=Xu8jjJnwvxE Algorithms repository: https://github.com/w
From playlist Network Flow playlist
A New Perspective on Holographic Entanglement by Matthew Headrick
11 January 2017 to 13 January 2017 VENUE: Ramanujan Lecture Hall, ICTS, Bengaluru String theory has come a long way, from its origin in 1970's as a possible model of strong interactions, to the present day where it sheds light not only on the original problem of strong interactions, but
From playlist String Theory: Past and Present
Second shifting theorem: Laplace transforms
Free ebook https://bookboon.com/en/partial-differential-equations-ebook The second shifting theorem of Laplace transforms. I show how to apply the ideas via examples and also provide a proof.
From playlist Partial differential equations