Six matrix factorizations dominate in numerical linear algebra and matrix analysis: for most purposes one of them is sufficient for the task at hand. We summarize them here. For each factorization we give the cost in flops for the standard method of computation, stating only the highest order terms. We also state the main uses of each factorization. For full generality we state factorizations for