Heaps (data structures) | Priority queues
In computer science, a skew binomial heap (or skew binomial queue) is a variant of the binomial heap that supports constant-time insertion operations in the worst case, rather than the logarithmic worst case and constant amortized time of the original binomial heap. Just as binomial heaps are based on the binary number system, skew binary heaps are based on the skew binary number system. (Wikipedia).
This video provided several examples of how to multiply two binomials. Complete Video Library: http://www.mathispower4u.com Search by Topic: htth://www.mathispower4u.wordpress.com
From playlist Multiplying Polynomials
Find The Product of Two Binomials (09x-52)
This video explains how to find the product to two binomials.
From playlist Multiplying Polynomials
Multiply Polynomials FOIL Method
how to multiply polynomials using the FOIL method
From playlist Pre-Algebra
Introduction to Binomial Coefficients
This video introduces how to determine binomial coefficients.
From playlist Counting (Discrete Math)
Unordered Selections (2 of 3: Relation to binomial theorem)
More resources available at www.misterwootube.com
From playlist Working with Combinatorics
Multiply Binomial with Higher Powers
This video explains how to multiply binomials with higher exponents. http://mathispower4u.com
From playlist Multiplying Polynomials
Ex: Squaring Binomial Expressions with Two Variables
This video provides two examples of how to square a binomials by expanding and multiplying. http://mathispower4u.com
From playlist Multiplying Polynomials
Binomial Theorem (1 of 2: Applications of Binomial Theorem and Binomial Identities)
More resources available at www.misterwootube.com
From playlist Working with Combinatorics
Bayesian Statistics: An Introduction
See all my videos here: http://www.zstatistics.com/videos/ 0:00 Introduction 2:25 Frequentist vs Bayesian 5:55 Bayes Theorum 10:45 Visual Example 15:05 Bayesian Inference for a Normal Mean 24:30 Conjugate priors 32:55 Credible Intervals
From playlist Statistical Inference (7 videos)
This is Lecture 9 of the CSE547 (Discrete Mathematics) taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 1999. The lecture slides are available at: http://www.cs.sunysb.edu/~algorith/math-video/slides/Lecture%2009.pdf More information may
From playlist CSE547 - Discrete Mathematics - 1999 SBU
Fibonacci Heaps or "How to invent an extremely clever data structure"
I want to tell you about a daunting, but truly fascinating data structure. At first sight, Fibonacci Heaps can seem intimidating. In this video, I'm going to show you all the necessary steps to invent a really clever data structure. 00:00 Introduction 00:50 Priority Queues and Binary Heap
From playlist Advanced Algorithms/Data Structures
The skew (and sample skew) of a distribution (FRM T2-6)
The skew is the third central moment divided by the cube of the standard deviation. Here I calculate skew using the binomial distribution. Discuss this video here in our FRM forum! https://trtl.bz/2Jrg0HP Subscribe here https://www.youtube.com/c/bionicturtle?sub-confirmation=1 to be notif
From playlist Quantitative Analysis (FRM Topic 2)
Ex: Multiplying Binomial Conjugates
This video explains how to multiply to binomial conjugates. http://mathispower4u.com
From playlist Multiplying Polynomials
Intro to Sample Mean Distribution and Central Limit Theorem
I introduce the Central Limit theorem and explain how it helps to set up the distribution of sample means. This video only discusses setting up the distribution of a one sample mean when given the population standard deviation. I hint of the upcoming topic of t-distributions Check out h
From playlist AP Statistics
Kurtosis of a probability distribution (FRM T2-7)
[Here is my xls http://trtl.bz/121817-yt-kurtosis-xls] Kurtosis is the standardized fourth central moment and is a measure of tail density; e.g., heavy or fat-tails. Heavy-tailedness also tends to correspond to high peakedness. Excess kurtosis (aka, leptokurtosis) is given by (kurtosis-3).
From playlist Quantitative Analysis (FRM Topic 2)
Binomial test: if Elon Musk samples 100 twitter accounts, how many bots (fakes) are too many?
Elon Musk is holding up his twitter purchase to investigate their claim that only 5.0% of the accounts on the platform are fake. If he samples 100 accounts, how many is too many; i.e., at what number should he reject the null hypothesis? Subscribe here https://www.youtube.com/c/bionicturt
From playlist FRM applications
Prob & Stats - Random Variable & Prob Distribution (42 of 53) Non-Symmetric Binomial Dist.
Visit http://ilectureonline.com for more math and science lectures! In this video I will graph a non-symmetric binomial distribution. Next video in series: http://youtu.be/0FIKgUwezxE
From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution
Chapter 7.5: A Summary and Some Loose Ends
Chapter 7.5 from "Introduction to Statistics, Think & Do" by Scott Stevens (http://www.StevensStats.com) Textbook from Publisher, $29.95 print, $9.95 PDF http://www.centerofmathematics.com/wwcomstore/index.php/thinkdov4-1.html Textbook from Amazon: https://amzn.to/2zJRCjL
From playlist Statistics Lecture Videos
Find The Square of a Binomials (09x-53)
This video explains how to find the square of a binomial.
From playlist Multiplying Polynomials
Conditions Required to Use Normal to Approximate Sample Proportions
Sample proportions, like binomial successes, are discrete. As long as large samples are taken so np and n(1-p) are both at least 10, a continuous normal distribution yields an acceptable approximation of the probabilities associated with a sample proportion distribution.
From playlist Unit 7 Probability C: Sampling Distributions & Simulation