In computer science, the largest differencing method is an algorithm for solving the partition problem and the multiway number partitioning. It is also called the Karmarkar–Karp algorithm after its inventors, Narendra Karmarkar and Richard M. Karp. It is often abbreviated as LDM. (Wikipedia).
Ex: Subtract Fractions with Unlike Denominators (With Model)
This video explains how to subtract fractions with unlike denominators by building the LCD using prime factors. http://mathispower4u.com
From playlist Adding and Subtracting Fractions
Ex 2: Determine the Least Common Multiple Using a Fraction Wall or Rods
This video explains how to determine the least common multiple of two whole numbers using a fraction wall or rods. Site: http://mathispower4u.com
From playlist Factors, LCM, and GCF of Whole Numbers
Introducing Time Series Forecasting in Python: the Random Walk Forecast
Check out Marco Peixeiro's book 📖 Time Series Forecasting in Python | http://mng.bz/95Mr 📖 To save 40% on Marco's book use the DISCOUNT CODE ⭐ watchpeixeiro40 ⭐ Join Marco in this introductory lesson on time series forecasting in Python. Marco explores the random walk model, MA(q) and
From playlist Python
#MegaFavNumbers - Largest number constructible from just one copy of the digits 1, 2, 3, and 4
#MegaFavNumbers #MegaFavNumber Should it have the 's' or not? After first publishing this, I noticed that videos tended to have the plural, including the first in the list. It doesn't make much sense for a single video to use the plural, but I think I have to in order to be picked up
From playlist MegaFavNumbers
Powered by https://www.numerise.com/ Finding the HCF and LCM using prime factor decomposition. www.hegartymaths.com http://www.hegartymaths.com/
From playlist Basic Arithmetic & Numeracy
Simon Myerson: Repulsion: a how-to guide, Lecture III
Consider the integral zeroes of one or more, not necessarily diagonal, integral polynomials in many variables with the same degree. The basic principles for applying the circle method here were laid out by Birch. One way to improve on his work is repulsion: showing that the exponential sum
From playlist Hausdorff School "The Circle Method"
Objective Barriers to Passive Transport (Lecture 1) by George Haller
DISCUSSION MEETING WAVES, INSTABILITIES AND MIXING IN ROTATING AND STRATIFIED FLOWS (ONLINE) ORGANIZERS: Thierry Dauxois (CNRS & ENS de Lyon, France), Sylvain Joubaud (ENS de Lyon, France), Manikandan Mathur (IIT Madras, India), Philippe Odier (ENS de Lyon, France) and Anubhab Roy (IIT M
From playlist Waves, Instabilities and Mixing in Rotating and Stratified Flows (ONLINE)
13 Machine Learning: Time Series Analysis
A lecture on working with time series data, including the topics of stationarity, autocorrelation, Hurst exponent, trends, seasonality and noise! Follow along with the demonstration workflow: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/SubsurfaceDataAnalytics_TimeSerie
From playlist Machine Learning
Greatest Common Factor Trick GCF
It is easy to find the greatest common factor using the eucliean method. This is the fastest method of working out greatst common factors short of knowing all the factors for every number! This method works rapidly even for large numbers and utilises the Euclidean algorithm. To donate
From playlist Factors and Multilples
Determine Generating Function for the Sequence: 1,3,5,7,9,… Using Differencing
This video explains how to build a generating function for a sequence using the technique of differencing. mathispower4u.com
From playlist Additional Topics: Generating Functions and Intro to Number Theory (Discrete Math)
Greatest Binomial Coefficient - worked example (2 of 2)
More resources available at www.misterwootube.com
From playlist Working with Combinatorics
Building Generating Functions for Sequences Using Differencing
This video explains how to build generating functions for various sequences using the technique of differencing. mathispower4u.com
From playlist Additional Topics: Generating Functions and Intro to Number Theory (Discrete Math)
Data Science - Part X - Time Series Forecasting
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview of Time Series forecasting techniques and the process of creating effective for
From playlist Data Science
This tutorial explains how to do long division. Join this channel to get access to perks: https://www.youtube.com/channel/UCn2SbZWi4yTkmPUj5wnbfoA/join :)
From playlist Basic Math
Trevor Wooley - Translation invariance, exponential sums, and Waring's problem [ICM 2014]
notes for this talk: https://people.maths.bris.ac.uk/~matdw/2014icm.pdf The International Congress of Mathematicians (ICM) in Seoul, http://www.icm2014.org/ Invited Lecture Speaker: Trevor Wooley Title: Translation invariance, exponential sums, and Waring's problem 8.19(Tue) [Day6] h
From playlist Number Theory
Time Series Analysis with the KNIME Analytics Platform
In this session, you’ll learn about the main concepts behind Time Series: preprocessing, alignment, missing value imputation, forecasting, and evaluation. Together we will build a demand prediction application: first with (S)ARIMA models and then with machine learning models. The codeless
From playlist Advanced Machine Learning
Greatest Binomial Coefficient (2 of 5: Overview & introduction)
More resources available at www.misterwootube.com
From playlist Working with Combinatorics
Simon Myerson: Repulsion: a how-to guide, Lecture IV
Consider the integral zeroes of one or more, not necessarily diagonal, integral polynomials in many variables with the same degree. The basic principles for applying the circle method here were laid out by Birch. One way to improve on his work is repulsion: showing that the exponential sum
From playlist Hausdorff School "The Circle Method"