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+ An implementation of a steepest descent solver for binary quadratic
+models.
+
+ Steepest descent is the discrete analogue of gradient descent, but
+the best move is computed using a local minimization rather rather
+than computing a gradient. At each step, we determine the dimension
+along which to descend based on the highest energy drop caused by a
+variable flip.
+
+
+ Optional building mode set with environment variables:
+ - TESTS=yes (performs tests, requires dimod)
+