A symmetric positive-definite matrix is a square matrix that is both symmetric and positive-definite, meaning it has all positive eigenvalues and its quadratic form is always positive for any non-zero vector. This type of matrix is important in various fields such as optimization, numerical analysis, and statistics, where it ensures stability and convergence of algorithms.