An Introduction to Binary Code Bounds - Fernando Granha Jeronimo
A binary code is simply any subset of 0/1 strings of a fixed length. Given two strings, a standard way of defining their distance is by counting the number of positions in which they disagree. Roughly speaking, if elements of a code are sufficiently far apart, then the code is resilient to
From playlist Mathematics
Determine if the Binary Operation Defined by the Table is Commutative and Associative
In this video we determine whether or not a binary operation is commutative and associative. The binary operation is actually defined by a table in this example. I hope this video helps someone.
From playlist Abstract Algebra
Binary Tree 1. Constructing a tree (algorithm and pseudocode)
This is the first in a series of videos about binary trees. It is an explanation of the dynamic data structure known as the Binary Tree. It describes the way in which a binary tree is constructed, and how it can be represented numerically using a system of left and right pointers. This v
From playlist Data Structures
MIT 6.042J Mathematics for Computer Science, Spring 2015 View the complete course: http://ocw.mit.edu/6-042JS15 Instructor: Albert R. Meyer License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.042J Mathematics for Computer Science, Spring 2015
Examples of Binary Operations (and Non-Examples) | Abstract Algebra
What are binary operations? A binary operation is a function from the cartesian product of a set with itself back to that same set. In other words, a binary operations takes two elements from the same set and assigns the ordered pair of them to exactly one element also in that set (since i
From playlist Abstract Algebra
Note: as noted below, 'equals' is an anti-symmetric relation. But, in practice, intuition for partially ordered sets starts with "less than or equals." Basic Methods: We define the Cartesian product of two sets X and Y and use this to define binary relations on X. We explain the propert
From playlist Math Major Basics
Solving and Graphing an inequality when the solution point is a decimal
👉 Learn how to solve multi-step linear inequalities having parenthesis. An inequality is a statement in which one value is not equal to the other value. An inequality is linear when the highest exponent in its variable(s) is 1. (i.e. there is no exponent in its variable(s)). A multi-step l
From playlist Solve and Graph Inequalities | Multi-Step With Parenthesis
Constraints on the time vairation of the gravitational constant by Shasvath Kapadia
ICTS IN-HOUSE 2020 Organizers: Amit Kumar Chatterjee, Divya Jaganathan, Junaid Majeed, Pritha Dolai Date:: 17-18th February 2020 Venue: Ramanujan Lecture Hall, ICTS Bangalore inhouse@icts.res.in An exclusive two-day event to exchange ideas and discuss research amongst member
From playlist ICTS In-house 2020
Basic Excel Business Analytics #63: Excel Solver Binary Variable Choose Projects Limited Resources
Download files: https://people.highline.edu/mgirvin/AllClasses/348/348/AllFilesBI348Analytics.htm Learn how to set up and solve a limited resource problem using a Binary Variable and Linear Programming. Use Excel Solver to find the optimal solution that will maximize the NPV of a set of p
From playlist Excel Business Analytics (Forecasting, Linear Programming, Simulation & more) Free Course at YouTube (75 Videos)
Solving and graphing an inequality
👉 Learn how to solve multi-step linear inequalities having parenthesis. An inequality is a statement in which one value is not equal to the other value. An inequality is linear when the highest exponent in its variable(s) is 1. (i.e. there is no exponent in its variable(s)). A multi-step l
From playlist Solve and Graph Inequalities | Multi-Step With Parenthesis
Introduction to Primordial Black Hole Dark Matter (Lecture 2) by Ely D. Kovetz
PROGRAM LESS TRAVELLED PATH OF DARK MATTER: AXIONS AND PRIMORDIAL BLACK HOLES (ONLINE) ORGANIZERS: Subinoy Das (IIA, Bangalore), Koushik Dutta (IISER, Kolkata / SINP, Kolkata), Raghavan Rangarajan (Ahmedabad University) and Vikram Rentala (IIT Bombay) DATE: 09 November 2020 to 13 Novemb
From playlist Less Travelled Path of Dark Matter: Axions and Primordial Black Holes (Online)
The First Piece of Code I Wrote
A super cool technique that first got me interested in all things math. Link to Code : https://github.com/ritvikmath/YouTubeVideoCode/blob/main/Shift%20Scheduling.ipynb My Patreon : https://www.patreon.com/user?u=49277905
From playlist Data Science Code
Binary 4 – Floating Point Binary Fractions 1
This is the fourth in a series of videos about the binary number system which is fundamental to the operation of a digital electronic computer. In particular, this video covers the representation of real numbers using floating point binary notation. It begins with a description of standard
From playlist Binary
Factor Graphs 1 - Constraint Satisfaction Problems | Stanford CS221: AI (Autumn 2019)
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2ZmzIQT Topics: Factor Graphs Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor - Stanford University http://onlinehub.stanford.edu/ Associate P
From playlist Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2019
Jose Antonio Font - Numerical analysis: binary neutron stars - IPAM at UCLA
Recorded 21 September 2021. Jose Antonio Font of the University of Valencia presents "Numerical analysis: binary neutron stars" at IPAM's Mathematical and Computational Challenges in the Era of Gravitational Wave Astronomy Tutorial. Abstract: Merging binary neutron stars are among the str
From playlist Tutorials: Math & Computational Challenges in the Era of Gravitational Wave Astronomy
Your Dreams May Come True with MTP2 by Caroline Uhler
COLLOQUIUM YOUR DREAMS MAY COME TRUE WITH MTP2 SPEAKER: Caroline Uhler (Massachusetts Institute of Technology, Cambridge) DATE: Mon, 22 July 2019, 15:00 to 16:00 VENUE: Emmy Noether Seminar Room, ICTS Campus, Bangalore RESOURCES ABSTRACT We study probability distributions that are m
From playlist ICTS Colloquia
Delayed column generation in large scale integer optimization problems - Professor Raphael Hauser
Mixed linear integer programming problems play an important role in many applications of decision mathematics, including data science. Algorithms typically solve such problems via a sequence of linear programming approximations and a divide-and-conquer approach (branch-and-bound, branch-an
From playlist Data science classes
Solving a multi step inequality with distributive property
👉 Learn how to solve multi-step linear inequalities having parenthesis. An inequality is a statement in which one value is not equal to the other value. An inequality is linear when the highest exponent in its variable(s) is 1. (i.e. there is no exponent in its variable(s)). A multi-step l
From playlist Solve and Graph Inequalities | Multi-Step With Parenthesis
Gravitational Lensing of Gravitational Waves: A New Probe of Primordial Black Holes by P. Ajith
PROGRAM LESS TRAVELLED PATH TO THE DARK UNIVERSE ORGANIZERS: Arka Banerjee (IISER Pune), Subinoy Das (IIA, Bangalore), Koushik Dutta (IISER, Kolkata), Raghavan Rangarajan (Ahmedabad University) and Vikram Rentala (IIT Bombay) DATE & TIME: 13 March 2023 to 24 March 2023 VENUE: Ramanujan
From playlist LESS TRAVELLED PATH TO THE DARK UNIVERSE