In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

Abstract: The control performance of model predictive control based motor drives can be enhanced as the prediction horizon increases, but at the expense of large computational burden. To solve this ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

Merge sort is entirely different than the sorting algorithms we’ve seen so far, and it represents an important class of algorithms—divide-and-conquer algorithms. Divide-and-conquer algorithms work by ...

Bucket sort and radix sort work using a distribute and collect approach without making comparisons. In appropriate use cases, these can be faster than \mathcal{O}(n \log n) algorithms like quicksort ...