These are similar to those used in the SAS DATA step. Consider the simple example of minimizing the Rosenbrock Function (Rosenbrock, 1960). The minimum function value is f(x*) = 0 at x* = (1,1). This ...

We consider the problem of numerical differentiation of a function f from approximate or noisy values of f on a discrete set of points; such discrete approximate data may result from a numerical ...

If I use the numerical recipe from above, I can make a very simple program. In this case, I am using the web-based GlowScrip (it's like VPython but you don't have to install anything).

"Sharing my learning outcomes on Python: I started with data types, strings, numeric data types, functions in data types, and some regular expressions. For example, data types include integers, floats ...

There are many optimization algorithms, which can be used to find the extremum of a function. However, in optimizing the function, which is obtained from the numerical calculations, it is necessary to ...

In this paper, we introduce the edge-valued binary decision diagram (EVBDD) to reduce the memory and delay in numerical function generators (NFGs). An NFG realizes a function, such as a trigonometric, ...