Process of implementing operations' algorithms for ordered fuzzy numbers (OFN's)are presented. First version of the program in the Delphi environment is created that uses algorithms dedicated to trapezoidal-type membership relations (functions). More useful implementation is a Fuzzy Calculator which ...
This repository contains templates of useful algorithms and data structures coded in C++ for use in competitive programming. Contents Command- Description Misc Debugging to_string_main-to_stringmethod of the main data types and standard data structures. ...
Mathematics Olympiads can be very useful for programming contests. I find this site extremely usefulhttp://www.artofproblemsolving.com/Wiki/index.php/Main_Pageother puzzle site which i find useful
When sorting lists in Java, especially in larger projects, it’s important to consider the impact on performance. Sorting can be a resource-intensive operation, especially for large lists or complex objects. In such cases, it might be beneficial to use more efficient sorting algorithms or techniq...
A gem providing all useful algorithms and data structures for contests Installation Add this line to your application's Gemfile: gem 'victory' And then execute: $ bundle Or install it yourself as: $ gem install victory Usage Can be found at usage. Development After checking out the repo,...
Tiny machine learning (TinyML) is broadly defined as a fast-growing field of machine learning technologies and applications, including hardware, algorithms, and software capable of performing on-device sensor data analytics at extremely low power, typically in the mW range and below, and h...
Algorithms Principle of Recursion Programming Problems Find the Largest Value in a BST that is Smaller than the Target Value Programming Problems Copy a Matrix with a Spiral Sequence Programming Problems Sorting Pancakes Programming Problems Decoding a Secret Message ...
The convolutional kernel size is fixed in traditional CNN algorithms, and it may be difficult to effectively capture features at different scales for the remaining life prediction problem. Therefore, a multi-channel multi-scale deep CNN (MuMsDCNN) incorporating an LSTM model is introduced to solve ...
There can be many such algorithms, but I will show only one, which I believe to be the most efficient. It exploits the assumption that the larger and stronger was the move on the previous fully formed candlestick, the more likely it is that there will be a fairly strong rollback move....