It forms the basis for algorithms such as the Metropolis algorithm. Contrast genetic algorithm; random optimization. Reliability is addressed through error detection using a weak checksum algorithm. Logistic regression is an important machine learning algorithm. Difficulty is measured in number recursive calls made by a DPLL algorithm. An exponential backoff algorithm is therefore used. These are due to the quantization step of the JPEG algorithm. No extra parameters or changes to the learning algorithm were needed. Better parallelism can be achieved by using a parallel merge algorithm. It is related to the quicksort sorting algorithm. The pseudocode for the depth limited minimax algorithm is given below. The code is as fast as the simple boundary crossing algorithm. See also the elastic map algorithm and principal geodesic analysis. All of the derivation for the algorithm is done. This implementation is referred to as the ""standard" simplex algorithm".