Number partitioning | Scheduling algorithms
Longest-processing-time-first (LPT) is a greedy algorithm for job scheduling. The input to the algorithm is a set of jobs, each of which has a specific processing-time. There is also a number m specifying the number of machines that can process the jobs. The LPT algorithm works as follows: 1. * Order the jobs by descending order of their processing-time, such that the job with the longest processing time is first. 2. * Schedule each job in this sequence into a machine in which the current load (= total processing-time of scheduled jobs) is smallest. Step 2 of the algorithm is essentially the list-scheduling (LS) algorithm. The difference is that LS loops over the jobs in an arbitrary order, while LPT pre-orders them by descending processing time. LPT was first analyzed by Ronald Graham in the 1960s in the context of the identical-machines scheduling problem. Later, it was applied to many other variants of the problem. LPT can also be described in a more abstract way, as an algorithm for multiway number partitioning. The input is a set S of numbers, and a positive integer m; the output is a partition of S into m subsets. LPT orders the input from largest to smallest, and puts each input in turn into the part with the smallest sum so far. (Wikipedia).
Scheduling: The Decreasing Time Algorithm
This lesson explains how to use the decreasing time algorithm to create a priority list and then a schedule. Site: http://mathispower4u.com
From playlist Scheduling
Math for Liberal Studies: Longest Processing Time Algorithm
In this video, we use the Longest Processing Time algorithm to solve a scheduling problem. For more info, visit the Math for Liberal Studies homepage: http://webspace.ship.edu/jehamb/mls/index.html
From playlist Math for Liberal Studies
Scheduling: The List Processing Algorithm Part 1
This lesson explains and provides an example of the list processing algorithm to make a schedule given a priority list. Site: http://mathispower4u.com
From playlist Scheduling
Mathematics of Scheduling Part 2 of 2 Critical Time Algorithm
Use the Critical Time Algorithm to create efficient project schedules, and compare to the decreasing time algorithm.
From playlist Discrete Math
Scheduling: The List Processing Algorithm Part 2
This lesson explains and provides an example of the list processing algorithm to create a digraph and make a schedule. Site: http://mathispower4u.com
From playlist Scheduling
Searching and Sorting Algorithms (part 4 of 4)
Introductory coverage of basic searching and sorting algorithms, as well as a rudimentary overview of Big-O algorithm analysis. Part of a larger series teaching programming at http://codeschool.org
From playlist Searching and Sorting Algorithms
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In this video the decreasing time algorithm is used to create a priority list and generate a timeline.
From playlist Discrete Math
Data Science with Mathematica -- Parallelism
In this video of the Data Science with Mathematica track I demonstrate several features of the parallelism framework of the Mathematica system. I start with basic theory on parallelism itself and then show it can be used very efficiently in the Mathematica system. The playlist for the Da
From playlist Data Science with Mathematica
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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
The way how to show time using clocks. It is 12 hours video you can use as a screensaver on clock, every number changing is completely random. Please enjoy.
From playlist Timers
PMP® Live - 3 | Project Management Tools & Techniques | PMP® Exam Training | PMP® Tutorial | Edureka
🔥Edureka PMP® Training: https://www.edureka.co/pmp-certification-exam-training This Edureka video on Project Management Tools & Techniques will give you the list of various tools and techniques, used by the project managers for delivering a successful project. 🔹PMP Tutorial Blog Series:
From playlist Edureka Live Classes 2020
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This is the last video for Math for Liberal Studies Section 1.8: Bin Packing and Scheduling. In this lecture, I discuss different types of scheduling problems and how we can apply bin-packing ideas to those problems. Specifically, I discuss the Longest-Processing-Time (LPT) algorithm and w
From playlist Math for Liberal Studies Lectures
PMP Training Videos | Lesson 6: Project Time Management | Simplilearn
Time management is another key aspect of managing a project. As such, it is considered to be a core knowledge area, and is closely knit to scope and cost areas. The main purpose of this knowledge area, as it name suggests, is to build processes and outputs into the project that assist the
From playlist PMP Training Videos [2022 Updated]
Lec 14 | MIT 6.035 Computer Language Engineering, Fall 2005
Instruction Scheduling View the complete course: http://ocw.mit.edu/6-035F05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.035 Computer Language Engineering, Fall 2005
MIT 6.172 Performance Engineering of Software Systems, Fall 2018 Instructor: Julian Shun View the complete course: https://ocw.mit.edu/6-172F18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63VIBQVWguXxZZi0566y7Wf Professor Shun discusses races and parallelism, how ci
From playlist MIT 6.172 Performance Engineering of Software Systems, Fall 2018
Timelapse: Office, A213, looking in.
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From playlist Timelapse