Geometric algorithms | Geometry
In geometry, the minimum or smallest bounding or enclosing box for a point set S in N dimensions is the box with the smallest measure (area, volume, or hypervolume in higher dimensions) within which all the points lie. When other kinds of measure are used, the minimum box is usually called accordingly, e.g., "minimum-perimeter bounding box". The minimum bounding box of a point set is the same as the minimum bounding box of its convex hull, a fact which may be used heuristically to speed up computation. The terms "box" and "hyperrectangle" come from their usage in the Cartesian coordinate system, where they are indeed visualized as a rectangle (two-dimensional case), rectangular parallelepiped (three-dimensional case), etc. In the two-dimensional case it is called the minimum bounding rectangle. (Wikipedia).
Calculus 1: Max-Min Problems (19 of 30) Maximum Volume of a Closed Box
Visit http://ilectureonline.com for more math and science lectures! In this video I will find the dimensions, s=? and h=?, of a closed box of maximum volume with a square bottom and minimum material of 10 square meter. Next video in this series can be seen at: https://youtu.be/o_jMBzFuL
From playlist CALCULUS 1 CH 8 MAX MIN PROBLEMS
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
Finding the Class Limits, Width, Midpoints, and Boundaries from a Frequency Table
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Finding the Class Limits, Width, Midpoints, and Boundaries from a Frequency Table
From playlist Statistics
Absolute Maximum/Minimum (1 of 2: Domain restricted polynomial)
More resources available at www.misterwootube.com
From playlist Applications of Differentiation
Optimization: Minimized the Surface are of an Open Top Box
This video explains how to minimize the surface area of a box with a given volume. the box has a square base and does not have a top. Site: http://mathispower4u.com
From playlist Applications of Differentiation – Maximum/Minimum/Optimization Problems
Will It Fit? What Size Box is Needed to Package Smaller Boxes (Ex 1)
This video explains how to determine if a certain number of smaller boxes will fit inside a larger box.
From playlist Mathematics General Interest
Upper and Lower Bound In this video, I define what it means for a set to be bounded above and bounded below. This will be useful in our definition of inf and sup. Check out my Real Numbers Playlist: https://www.youtube.com/playlist?list=PLJb1qAQIrmmCZggpJZvUXnUzaw7fHCtoh
From playlist Real Numbers
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
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)
Worldwide Calculus: Optimization
Lecture on 'Optimization' from 'Worldwide Multivariable Calculus'. For more lecture videos and $10 digital textbooks, visit www.centerofmath.org.
From playlist Multivariable Derivatives
VCAA 2021 Methods Exam 2 Short Answer Solutions
Website: https://qncubed3.wixsite.com/maths 0:00 Question 1 18:45 Question 2 32:44 Question 3 45:50 Question 4 1:00:22 Question 5
From playlist VCE Exams
Kenneth Falconer: Intermediate dimensions, capacities and projections
The talk will review recent work on intermediate dimensions which interpolate between Hausdorff and box dimensions. We relate these dimensions to capacities which leading to ‘Marstrand-type’ theorems on the intermediate dimensions of projections of a set in $\mathbb{R}^{n}$ onto almost all
From playlist Analysis and its Applications
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
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
Math 101 091317 Introduction to Analysis 06 Introduction to the Least Upper Bound Axiom
Definition of the maximum (minimum) of a set. Existence of maximum and minimum for finite sets. Definitions: upper bound of a set; bounded above; lower bound; bounded below; bounded. Supremum (least upper bound); infimum (greatest lower bound). Statement of Least Upper Bound Axiom (com
From playlist Course 6: Introduction to Analysis (Fall 2017)
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
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
Entropy bounds for reduced density matrices of fermionic states - Elliott Lieb
Elliott Lieb Princeton Univ April 2, 2014 For more videos, visit http://video.ias.edu
From playlist Mathematics
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
Max and Min on a Closed Bounded Interval
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From playlist Calc 1