Time Travel Using Data Structures

Time Travel Using Data Structures | by Alexander Svito | Medium

data structures that allow the developer to perform “time travel” — return the structure to it's previous state or change the order of the ...

CS 261: Graduate Data Structures Week 9: Time travel

Persistent stacks. Page 10. Why? In programming language implementation, stacks are used to represent information local to subroutine calls (local variables,.

Retroactive Data Structures and Time Traveling - YouTube

Disclaimer: We are talking about data structures, not physics. This specific type of data structure allows for retroactively updating and ...

Retroactive Data Structures - Erik Demaine

In effect we sever the relationship between time as perceived by a data structure, and time as perceived by the user ... Informally, we are traveling back in time ...

Fully Persistent Arrays - a datastructure that let's us time travel

Persistent Data Structures preserve previous versions of themselves allowing us to revisit and audit any historical version. While we already did an exhaustive ...

What is the best data structure/implementation for representing a ...

You may want to try to use two arrays of the same length to store your time series. The first array stores values (e.g. price) and the second ...

An overview of dataset time travel - Max Halford

But the association of “time travel” and “data” has already been used elsewhere. It's not something I'm pulling out from thin air.

Fun with time travel: retroactive data structures in Python

I think it would be the "naive" implementation. For specific data structures more efficient specific algorithms can be written.

What data structure could be the good way to represent time ... - Quora

This can be implemented using a tree data structure, with each node representing a time period (e.g. a year, a month, a day), and child nodes ...

Fun with time travel: Implementing retroactive data structures in Python

The goal of this project is to turn known algorithms for various types of retroactive data structures into implementations, developing a Python library that can ...

Persistent Data Structures - USACO Guide

One can implement path copying to run in O ( log ⁡ N ) \mathcal O(\log N) O(logN) time per query and update by using a binary-tree-like structure where array ...

Temporal Data Structures - Persistence (Time Travel) - NewbieHack

Persistent Data Structures - Temporal Data Structures - Persistence (Time Travel) ... The goal for Persistence is to remember everything. The data structure may ...

Time Travel in Delta Lake - Dremio

Time Travel allows users to go back in time to retrieve, inspect, and analyze past versions of the data.

Don't Look Back in Anger: Why Time Travel is an Essential Part of ...

The data structure in Beacon Platform includes an option to store every entry with two timestamps: the date and time associated with the ...

Time Travel using Event Sourcing Pattern | by Sudipto Dey - Medium

Time travel can also be used for data updates when updates are made by different systems and changes can be merged. The challenge would come in ...

Time Traveling in Data Lakes - Billennium

Sadly, this time only your data will travel in time, so put your DeLorean back to the garage. The approach to using time-traveling differs from one format to ...

Are tree-based data structures really that useful? : r/compsci - Reddit

lots of things are done with binomial/fibonacci/similar heaps (like sorting) which are built on trees, again because they're the most efficient.

Retroactive data structure - Wikipedia

In computer science a retroactive data structure is a data structure which supports efficient modifications to a sequence of operations that have been ...

Time Traveling - TileDB Academy

Time traveling allows you to view and compare different aspects of your arrays over time. Fragments. Learn how to time travel across different write operations ...

Understanding the Structure of Time-Series Datasets - YData

Understanding the structure of time-series data and identifying its properties is crucial for several machine learning tasks, from feature ...