Harmonic bin-packing is a family of online algorithms for bin packing. The input to such an algorithm is a list of items of different sizes. The output is a packing - a partition of the items into bins of fixed capacity, such that the sum of sizes of items in each bin is at most the capacity. Ideally, we would like to use as few bins as possible, but minimizing the number of bins is an NP-hard problem. The harmonic bin-packing algorithms rely on partitioning the items into categories based on their sizes, following a Harmonic progression. There are several variants of this idea. (Wikipedia).
OCR MEI MwA B: Bin Packing: 01 Introduction to Bin Packing
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From playlist OCR MEI MwA B: Bin Packing
Math for Liberal Studies - Lecture 1.8.1 The Bin-Packing Problem
This is the first video for Math for Liberal Studies Section 1.8: Bin Packing and Scheduling. In this lecture, I discuss the general idea behind the bin-packing problem and talk about several examples of how this problem can occur in the real world.
From playlist Math for Liberal Studies Lectures
Math for Liberal Studies: Bin-Packing Algorithms
In this video, we use two different bin-packing algorithms to solve the same 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
Math for Liberal Studies - Lecture 1.8.2 One-at-a-Time Algorithms
This is the second video for Math for Liberal Studies Section 1.8: Bin Packing and Scheduling. In this lecture, I discuss two algorithms for solving bin-packing problems: the first-fit algorithm and the best-fit algorithm. I work through an example of each algorithm and discuss advantages
From playlist Math for Liberal Studies Lectures
OCR MEI MwA B: Bin Packing: 06 Heuristic Algorithms
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From playlist OCR MEI MwA B: Bin Packing
Combinatorics and Geometry to Arithmetic of Circle Packings - Nakamura
Speaker: Kei Nakamura (Rutgers) Title: Combinatorics and Geometry to Arithmetic of Circle Packings Abstract: The Koebe-Andreev-Thurston/Schramm theorem assigns a conformally rigid fi-nite circle packing to a convex polyhedron, and then successive inversions yield a conformally rigid infin
From playlist Mathematics
Math for Liberal Studies - Lecture 1.8.3 Sorted-Weight Algorithms
This is the third video for Math for Liberal Studies Section 1.8: Bin Packing and Scheduling. In this lecture, I discuss variations of the first-fit and best-fit packing algorithms. In these methods, we first sort the list of objects from largest to smallest before applying the packing alg
From playlist Math for Liberal Studies Lectures
Level 1 Chartered Financial Analyst (CFA ®): Statistical concepts and Quantiles
Session 2, Reading 8 (Part 1): Statistics is broadly either descriptive (aka, exploratory data analysis, EDA) or inferential (e.g., making predictions or forecasts). There is generally only one defined population and descriptive measures of the population are called parameters (and denoted
From playlist Level 1 Chartered Financial Analyst (CFA ®) Volume 1
GRCon21 - gr-genalyzer, a new OOT module to characterize data converter performance
Presented by Srikanth Pagadarai at GNU Radio Conference 2021 Emerging advancements in DAC/ADC technology in terms of enabling multi-channel, multi-mode, multi-band operation and supporting multi GSPS sample rates place stringent requirements on accurately characterizing the performance o
From playlist GRCon 2021
Stochastic Astrophysical Foreground From Compact Binary Mergers (Lecture 4) by Vuc Mandic
PROGRAM ICTS SUMMER SCHOOL ON GRAVITATIONAL-WAVE ASTRONOMY (ONLINE) ORGANIZERS: Parameswaran Ajith (ICTS-TIFR, India), K. G. Arun (CMI, India), Bala R. Iyer (ICTS-TIFR, India) and Prayush Kumar (ICTS-TIFR, India) DATE : 05 July 2021 to 16 July 2021 VENUE : Online This school is part
From playlist ICTS Summer School on Gravitational-Wave Astronomy (ONLINE)
Data Science Basics: Univariate Statistics
Live Jupyter walk-through of basic univariate statistics in Python.This should be enough to get anyone started building predictive machine learning workflows in Python. The demonstrated workflow is available at: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/PythonDataBas
From playlist Data Science Basics in Python
Packing algorithms - First-fit (decreasing) algorithms (Decision Maths 1)
Powered by https://www.numerise.com/ Packing algorithms - First-fit (decreasing) algorithms www.hegartymaths.com http://www.hegartymaths.com/
From playlist Decision Maths 1 OCR Exam Board (A-Level tutorials)
Cosmological Lensing (Lecture 4) by Alan Heavens
Program Cosmology - The Next Decade ORGANIZERS : Rishi Khatri, Subha Majumdar and Aseem Paranjape DATE : 03 January 2019 to 25 January 2019 VENUE : Ramanujan Lecture Hall, ICTS Bangalore The great observational progress in cosmology has revealed some very intriguing puzzles, the most i
From playlist Cosmology - The Next Decade
OCR MEI MwA B: Bin Packing: 05 Full-Bin Strategy Example
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From playlist OCR MEI MwA B: Bin Packing
Thin Groups and Applications - Alex Kontorovich
Analysis and Beyond - Celebrating Jean Bourgain's Work and Impact May 21, 2016 More videos on http://video.ias.edu
From playlist Analysis and Beyond