Compute the sum of all elements in a one-dimensional ndarray using a second-order iterative Kahan–Babuška algorithm.

Compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.

Compute the cumulative sum of a one-dimensional double-precision floating-point ndarray using a second-order iterative Kahan–Babuška algorithm.

Compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.

Compute the sum of a one-dimensional ndarray, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.

Compute the sum of all elements in a one-dimensional double-precision floating-point ndarray using a second-order iterative Kahan–Babuška algorithm.

Compute the cumulative sum of a one-dimensional ndarray using a second-order iterative Kahan–Babuška algorithm.

Compute the arithmetic mean of a one-dimensional double-precision floating-point ndarray using a second-order iterative Kahan–Babuška algorithm.

Compute the arithmetic mean of a one-dimensional single-precision floating-point ndarray using a second-order iterative Kahan–Babuška algorithm.

🔍 Implement efficient cumulative sum calculations for n-dimensional arrays using GPU acceleration in JavaScript and Node.js with this powerful library.

📊 Calculate the mean of n-dimensional arrays easily with this efficient JavaScript library for numerical computation in standard environments.

Compute the sum of all elements in a one-dimensional single-precision floating-point ndarray using a second-order iterative Kahan–Babuška algorithm.

📊 Compute statistical metrics for multi-dimensional arrays with the `smeankbn` method, enhancing data analysis and manipulation in JavaScript and Node.js.