Mathematical programming discriminant analysis models must be normalised to prevent the generation of discriminant functions in which the variable coefficients and the constant term are zero. This ...

A new procedure for mixed integer programming is presented. It is applicable where the integer variables must be either zero or one, and where the integer variables are divided into sets such that the ...

As a beginner in Python programming, it is important to understand variables and data types, as they are the building blocks of any program. In this article, we will provide a comprehensive guide ...

Initialize nonretained program variables (including selector variables) to 0 (or missing if the INITMISS option is specified). Selector variables are temporarily associated with a numeric data item ...

It first introduces the building blocks of programming (variables, objects, conditions, loops, functions, etc) and some foundational libraries in Python (NumPy, Pandas, Matplotlib). It then covers ...

Variable naming conventions often confuse new developers. What's the difference between snake case, kebab case and pascal case? Try this variable naming quiz to set the record straight on naming ...

Prior studies have sought the best forecasting model type, but each type exhibits different performance depending on predictor variables, or features, and study basin. Moreover, comparatively less ...

The article, based on extensive interviews with climate scientists at NCAR and other organizations, asserts that HPC simulations “are running up against the complex physics of programming thousands of ...