A novel 3-SAT solver using spectral matrix decomposition and continuous relaxation achieves polynomial-time complexity (O(N³)) on problems with 10,000+ variables, reaching 137ms execution time by computing principal eigenvectors of constraint covariance matrices and projecting solutions to discrete space via sign-mapping rather than traditional backtracking.