Abstract We analyze statistical features of the ‘optimization landscape’ in a random version one simplest constrained optimization problems least-square type: finding best approximation for solution system M linear equations N unknowns: ( k , x ) = b 1, …, on -sphere 2 . treat both -component vectors and parameters as independent mean zero real Gaussian variables. First, we derive exact express...