The minimum number of codewords in a binary code with length n and covering
radius R is denoted by K(n, R). The values of K (n, 1) are known up to len
gth 8, and the corresponding optimal codes have been classified. It is know
n that 57 less than or equal to K(9, 1) less than or equal to 62. In the cu
rrent work, the lower bound is improved to settle K(9, 1) = 62. In the appr
oach, which is computer-aided, possible distributions of codewords in subsp
aces are refined until each subspace is of dimension zero (consists of only
one word). Repeatedly, a linear programming problem is solved considering
only, inequivalent distributions. A connection between this approach and we
ighted coverings is also presented; the computations give new results for s
uch coverings as a by-product.