Optimistic replication, also known as lazy replication, is a strategy for replication, in which replicas are allowed to diverge. Traditional pessimistic replication systems try to guarantee from the beginning that all of the replicas are identical to each other, as if there was only a single copy of the data all along. Optimistic replication does away with this in favor of eventual consistency, meaning that replicas are guaranteed to converge only when the system has been quiesced for a period of time. As a result, there is no longer a need to wait for all of the copies to be synchronized when updating data, which helps concurrency and parallelism. The trade-off is that different replicas may require explicit reconciliation later on, which might then prove difficult or even insoluble. (Wikipedia).
Introduces notation and formulas for exponential growth models, with solutions to guided problems.
From playlist Discrete Math
Ex: Write a Recursive and Explicit Equation to Model Linear Growth
This video provides an basic example of how to determine a recursive and explicit equation to model linear growth given P_0 and P_1. http://mathispower4u.com
From playlist Linear, Exponential, and Logistic Growth: Recursive/Explicit
Can You Validate These Emails?
Email Validation is a procedure that verifies if an email address is deliverable and valid. Can you validate these emails?
From playlist Fun
Ex: Comparing Linear and Exponential Regression
This video provides an example on how to perform linear regression and exponential regression on the TI84. The best model is identified based up the value of R^2. Site: http://mathispower4u.com Blog: http://mathispower4u.wordpress.com
From playlist Solving Applications Using Exponential Equations / Compounded and Continuous Interest / Exponential Regression
Follow updates on Twitter: https://twitter.com/eigensteve This video discusses how all exponential growth eventually tapers off, through one mechanism or another. Website: https://www.eigensteve.com/
From playlist Intro to Data Science
Lecture 14: Optimistic Concurrency Control
Lecture 14: Optimistic Concurrency Control MIT 6.824: Distributed Systems (Spring 2020) https://pdos.csail.mit.edu/6.824/
From playlist MIT 6.824 Distributed Systems (Spring 2020)
Exponential growth and epidemics
A primer on exponential and logistic growth Help fund future projects: https://www.patreon.com/3blue1brown An equally valuable form of support is to simply share some of the videos. Special thanks to these supporters: http://3b1b.co/covid-thanks Home page: https://www.3blue1brown.com Exc
From playlist COVID-19
Visualization of conservation of energy
See explanations for this video in https://www.udiprod.com/energy/
From playlist Animated Physics Simulations
Vivek Wadhwa: The Future is Bright, if We're Cautious | Big Think
The Future is Bright, if We're Cautious Watch the newest video from Big Think: https://bigth.ink/NewVideo Join Big Think Edge for exclusive videos: https://bigth.ink/Edge ---------------------------------------------------------------------------------- Singularity University's Vivek Wadh
From playlist Vivek Wadhwa | Big Think
Lecture 12: Distributed Transactions
Lecture 12: Distributed Transactions MIT 6.824: Distributed Systems (Spring 2020) https://pdos.csail.mit.edu/6.824/
From playlist MIT 6.824 Distributed Systems (Spring 2020)
Review: The Rational Optimist by Matt Ridley
The Rational Optimist on Amazon: https://www.amazon.com/shop/caspianreport Support CaspianReport ✔ Patreon ► https://www.patreon.com/CaspianReport ✔ PayPal ► https://www.paypal.me/caspianreport ✔ Merchandise ►https://teespring.com/stores/caspianreport ✔ Amazon ► https://www.amazon.com/sh
From playlist The Bookshelf
Identifying Exponential Models
Identifying Exponential Models
From playlist ck12.org Algebra 1 Examples
Why great thinkers balance optimism and pessimism | Big Think
Why great thinkers balance optimism and pessimism Watch the newest video from Big Think: https://bigth.ink/NewVideo Learn skills from the world's top minds at Big Think Edge: https://bigth.ink/Edge ---------------------------------------------------------------------------------- When it
From playlist Lawrence Krauss | Big Think
9. Translating Technology Into the Clinic
MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Peter Szolovits, Adam Wright View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j Prof. Szolovits discusses the hype cycle as w
From playlist MIT 6.S897 Machine Learning for Healthcare, Spring 2019
Philipp HOLLIGER - Synthetic genetics
Synthetic biology seeks to probe fundamental aspects of biological form and function by construction (i.e. resynthesis) rather than deconstruction (analysis). Synthesis thus complements reductionist and analytic studies of life, and allows novel approaches towards
From playlist Cellular and Molecular Biotechnology
Finding the Great Problems [Entire Talk]
Barbara Liskov was already breaking new ground in 1968, when she became one of the first American women to earn a doctorate in the emerging discipline of computer science. After receiving that PhD at Stanford, she went on to design several influential programming languages, including CLU,
From playlist Stanford Engineering Heroes
On the Propogation of Uncertainty in Network Summaries: Eric Kolaczyk, Boston University
http://math.bu.edu/people/kolaczyk/biography.html Eric Kolaczyk was born in 1968 in Chicago, Illiinois. He obtained a BS degree in mathematics from the University of Chicago, and MS and PhD degrees in statistics from Stanford University. He has been on the faculty in the Department of Mat
From playlist Turing Seminars
Exponential Growth: Recursive and Explicit Equations Part 2
This video explains how to express exponential growth using recursive and explicit equations. Site: http://mathispower4u.com
From playlist Linear, Exponential, and Logistic Growth: Recursive/Explicit
Stanford Seminar - Finding the Great Problems
Barbara Liskov MIT CSAIL October 16, 2019 Barbara Liskov was already breaking new ground in 1968, when she became one of the first American women to earn a doctorate in the emerging discipline of computer science. After receiving that PhD at Stanford, she went on to design several influen
From playlist MS&E472 - Entrepreneurial Thought Leaders - Stanford Seminars
Rewriting a statement as a conditional statement
👉 Learn how to write a statement in conditional form. A conditional statement is an if-then statement connecting a hypothesis (p) and the conclusion (q). If the hypothesis of a statement is represented by p and the conclusion is represented by q, then the conditional statement is represent
From playlist Conditional Statements