Articles by John D. Cook (Articles: 19)

Some of the first things you need to know when writing numerical software in C#.

How to get started using the SciPy library for scientific computing in Python.

A simple random number generator in C#

An introduction to interpolation and inverse interpolation

This article presents a method for optimizing a function of one variable without requiring a derivative function.

Some of the subtle problems that can arise when working with random number generators

Describes why the most obvious way of evaluating functions may be bad and how to do better

This article covers five of the most important things someone needs to know when working with floating point numbers.

Code for computing normal probabilities and a discussion of what does and does work in IronPython

Numerical integration of smooth functions over a finite interval using an optimal algorithm.

Three numerical algorithms for solving equations, each implemented in C#

How to determine the parameters of a probability distribution given two percentile constraints

How to implement and use Simpson's rule

How to compute percentiles of a stream of data too large to fit into memory at once

A script for extracting string literals from source code for review

This article answers some of the first questions that come up when using regular expressions in C++ TR1

We describe a PowerShell script to extract source code from Team System version control and automate the build process

This article describes RunAndWait, a program that provides monitoring and logging for scheduled tasks

Welcome to our continuing series of Code Project interviews in which we talk to developers about their backgrounds, projects, interests and pet peeves. In this installment we talk to Code Project MVP, “math professor, programmer, consultant, manager, and statistician” John D. Cook.