Nesting algorithms are used to make the most efficient use of material or space by evaluating many different possible combinations via recursion. 1. * Linear (1-dimensional): The simplest of the algorithms illustrated here. For an existing set there is only one position where a new cut can be placed – at the end of the last cut. Validation of a combination involves a simple Stock - Yield - Kerf = Scrap calculation. 2. * Plate (2-dimensional): These algorithms are significantly more complex. For an existing set, there may be as many as eight positions where a new cut may be introduced next to each existing cut, and if the new cut is not perfectly square then different rotations may need to be checked. Validation of a potential combination involves checking for intersections between two-dimensional objects. 3. * Packing (3-dimensional): These algorithms are the most complex illustrated here due to the larger number of possible combinations. Validation of a potential combination involves checking for intersections between three-dimensional objects. (Wikipedia).
C Programming: Sorting and searching arrays of structs
In this session we learn how to sort an array of structs, then search it using the built-in binary search (bsearch) function.
From playlist C Programming
Visual description of the insertion sort algorithm
From playlist Computer Science
Heap Sort - 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
Insertion Sort VB.NET Implementation
This video explains how to implement an insertion sort in VB.NET. You will see how to program an insertion sort procedure, with a hard coded array of data, and it's own output routine. You will also see how to rewrite this procedure with a parameter, so it will work with any array of int
From playlist Sorting Algorithms
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
From playlist Algorithms 1
Discrete Math - 3.1.3 Sorting Algorithms
Bubble sort and insertion sort algorithms. Textbook: Rosen, Discrete Mathematics and Its Applications, 7e Playlist: https://www.youtube.com/playlist?list=PLl-gb0E4MII28GykmtuBXNUNoej-vY5Rz
From playlist Discrete Math I (Entire Course)
This video defines set-builder notation and compares it to interval expressed graphically, using interval notation, and using inequalities. Site: http://mathispower4u.com
From playlist Using Interval Notation
Anthony Nouy: Adaptive low-rank approximations for stochastic and parametric equations [...]
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Numerical Analysis and Scientific Computing
GTAC 2015: Nest Automation Infrastructure
http://g.co/gtac Slides: https://docs.google.com/presentation/d/1x-l6xb9uUzFA9n0EFxcsvIEj6dQPQBcCu3JucAVe-8E/pub Usman Abdullah (Nest), Giulia Guidi (Nest) and Sam Gordon (Nest) Nest’s vision for the Thoughtful Home involves interconnected, intelligent devices working together to make yo
From playlist GTAC 2015
Assumption-free prediction intervals for black-box regression algorithms - Aaditya Ramdas
Seminar on Theoretical Machine Learning Topic: Assumption-free prediction intervals for black-box regression algorithms Speaker: Aaditya Ramdas Affiliation: Carnegie Mellon University Date: April 21, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Bayesian Inference in the Wolfram Language
To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: Sjoerd Smit Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices, and m
From playlist Wolfram Technology Conference 2017
Richard Stanley - Increasing and decreasing subsequences (2006)
slides for this talk: https://www.mathunion.org/fileadmin/IMU/Videos/ICM2006/tars/stanley2006.pdf ICM Madrid Videos 24.08.2006 Increasing and decreasing subsequences Richard P. Stanley Massachusetts Institute of Technology, Cambridge, USA 24-Aug-06 · 09:00-10:00 h https://www.mathunion.
From playlist Mathematics
Houman Owhadi: "On interplays between stochastic and numerical analysis"
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop IV: Stochastic Analysis Related to Hamilton-Jacobi PDEs "On interplays between stochastic and numerical analysis" Houman Owhadi - California Institute of Technology, ACM Abstract: Although numerical approximation and statistical inferen
From playlist High Dimensional Hamilton-Jacobi PDEs 2020
The Chain Rule for Derivatives — Topic 59 of Machine Learning Foundations
#MLFoundations #Calculus #MachineLearning This video introduces the chain rule, which is arguably the single most important differentiation rule for machine learning. It facilitates several of the most ubiquitous ML algorithms, such as gradient descent and backpropagation — algorithms we
From playlist Calculus for Machine Learning
Count negative numbers in a sorted matrix using 13 programming languages! CREDITS: The original video was published on the code_report YouTube channel (https://www.youtube.com/channel/UC1kBxkk2bcG78YBX7LMl9pQ) and the channel owner provided Coding Tech the publication permissions.
From playlist Learn To Code
Time Complexity Analysis | What Is Time Complexity? | Data Structures And Algorithms | Simplilearn
This video covers what is time complexity analysis in data structures and algorithms. This Time Complexity tutorial aims to help beginners to get a better understanding of time complexity analysis. Following topics covered in this video: 00:00 What is Time Complexity Analysis 04:21 How t
From playlist Data Structures & Algorithms
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