Minimum bounding box algorithms

Maximum and Minimum Values (Closed interval method)

A review of techniques for finding local and absolute extremes, including an application of the closed interval method

From playlist 241Fall13Ex3

[c][explained] Selection Sort

Better played at speeds greater than 1.5x. Thanks to a subscriber for noticing the error in the code and letting me know.

From playlist Sorting Algorithms

Minimum Bounding Circles and Spheres | galproject

This video covers an algorithm to compute the minimum bounding circles and spheres. The source code: https://github.com/ranjeethmahankali/galproject Computational Geometry Algorithms and Applications (book): https://link.springer.com/book/10.1007/978-3-540-77974-2 https://www.amazon.com/

From playlist Summer of Math Exposition Youtube Videos

Kruskals Algorithm | Kruskals Algorithm For Minimum Spanning Trees | Data Structures | Simplilearn

Don't forget to participate in challenging activity at --:-- This video on Kruskal Algorithm will acquaint you with the theoretical explanation and complete drive-through example for constructing a minimum spanning tree for given graph. This data structure tutorial will acquaint you with c

From playlist Data Structures & Algorithms

Calculating With Upper & Lower Bounds | Number | Maths | FuseSchool

Calculating With Upper & Lower Bounds | Number | Maths | FuseSchool In this video we are going to look at how to calculate with upper and lower bounds. To find the upper bound of an addition or of an area, you would want to multiply the upper bounds of both measurements, as this would g

From playlist MATHS: Numbers

Absolute Maximum and Minimum Values of a Function - Calculus I

This video teaches students how to use the closed interval test to find absolute maximum and minimum values of a function. In particular, I use the first derivative to find critical values of the function. From this step, I show how to find the absolute maximum and minimum values within

From playlist Calculus 1

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

GCSE Upper and Lower Bounds Introduction Measures of Accuracy

www.m4ths.com GCSE and A Level Worksheets, videos and helpbooks. Full course help for Foundation and Higher GCSE 9-1 Maths All content created by Steve Blades

From playlist GCSE Upper and Lower Bounds

Reconstruction of arithmetic circuits by Chandan Saha

Discussion Meeting Workshop on Algebraic Complexity Theory ORGANIZERS: Prahladh Harsha, Ramprasad Saptharishi and Srikanth Srinivasan DATE: 25 March 2019 to 29 March 2019 VENUE: Madhava Lecture Hall, ICTS Bangalore Algebraic complexity aims at understanding the computational aspects o

From playlist Workshop on Algebraic Complexity Theory 2019

Intersection over Union Explained and PyTorch Implementation

In this video we understand how intersection over union works and we also implement it in PyTorch. This is a very important metric to understand when it comes to object detection as it is used pretty much all the time. ❤️ Support the channel ❤️ https://www.youtube.com/channel/UCkzW5JSFwvK

From playlist PyTorch Tutorials

Adam Polak: Nearly-Tight and Oblivious Algorithms for Explainable Clustering

We study the problem of explainable clustering in the setting first formalized by Dasgupta, Frost, Moshkovitz, and Rashtchian (ICML 2020). A k-clustering is said to b e explainable if it is given by a decision tree where each internal no de splits data points with a threshold cut in a sing

From playlist Workshop: Approximation and Relaxation

Alina Ene: Adaptive gradient descent methods for constrained optimization

Adaptive gradient descent methods, such as the celebrated Adagrad algorithm (Duchi, Hazan, and Singer; McMahan and Streeter) and ADAM algorithm (Kingma and Ba), are some of the most popular and influential iterative algorithms for optimizing modern machine learning models. Algorithms in th

From playlist Workshop: Continuous approaches to discrete optimization

Lecture 18 | Convex Optimization II (Stanford)

Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd's final lecture of the quarter is on Branch-and-bound methods. This course introduces topics such as subgradient, cutting-plane, and ellipsoid methods

From playlist Lecture Collection | Convex Optimization

9 5 Counting Minimum Cuts 7 min

From playlist Algorithms 1

Math 101 091517 Introduction to Analysis 07 Consequences of Completeness

Least upper bound axiom implies a "greatest lower bound 'axiom'": that any set bounded below has a greatest lower bound. Archimedean Property of R.

From playlist Course 6: Introduction to Analysis (Fall 2017)

Robert Weismantel: Mixed Integer Optimization in high dimensions

From playlist Workshop: Parametrized complexity and discrete optimization

DETR: End-to-End Object Detection with Transformers (Paper Explained)

Object detection in images is a notoriously hard task! Objects can be of a wide variety of classes, can be numerous or absent, they can occlude each other or be out of frame. All of this makes it even more surprising that the architecture in this paper is so simple. Thanks to a clever loss

From playlist Papers Explained

Jean-Bernard Lasserre: The moment-LP and moment-SOS approaches

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 Control Theory and Optimization

Closed Interval Method fall 2012

An example of using the closed interval method

From playlist pExam3fall2012MAT241

Locally testable and locally correctable codes approaching the GV bound - Shubhangi Saraf

Computer Science/Discrete Mathematics Seminar I Topic: Locally testable and locally correctable codes approaching the Gilbert-Varshamov bound Speaker: Shubhangi Sara Affiliation: Rutgers University Date: November 27, 2017 For more videos, please visit http://video.ias.edu

From playlist Mathematics