Performs element-by-element equal comparison of the first argument against the second one.  The arguments must be same-sized (unless the second argument is a scalar).  It returns a logical array/matrix of the same size as the first argument, with elements set to logical 1 where the relation is true, and elements set to logical 0 where it is not.  If the second argument is a scalar, all entries of the first argument are compared against this.  The optional tol argument specifies the minimum inequality that will be accepted as equality.  It must be a scalar if either m1 or m2 is a scalar or one-element matrix, or it must be a matrix with the same dimensions as m1 and m2.  The default value of tol is twice the machine precision, which is approximately 2.2E-16.

Performs element-by-element greater than or equal comparison of the first argument against the second one.  The arguments must be same-sized (unless the second argument is a scalar).  It returns a logical array/matrix of the same size as the first argument, with elements set to logical 1 where the relation is true, and elements set to logical 0 where it is not.  If the second argument is a scalar, all entries of the first argument are compared against this. The optional tol argument specifies the maximum inequality that will be accepted as equality.  It must be a scalar if either m1 or m2 is a scalar or a one-element matrix, or it must be a matrix with the same dimensions as m1 and m2.  The default value of tol is twice the machine precision, which is approximately 2.2E-16.

Performs element-by-element greater than comparison of the first argument against the second one.  The arguments must be same-sized (unless the second argument is a scalar).  It returns a logical array/matrix of the same size as the first argument, with elements set to logical 1 where the relation is true, and elements set to logical 0 where it is not.  If the second argument is a scalar, all entries of the first argument are compared against this. The optional tol argument specifies the minimum inequality that must be exceeded to return true.  It must be a scalar if either m1 or m2 is a scalar or a one-element matrix, or it must be a matrix with the same dimensions as m1 and m2.  The default value of tol is twice the machine precision, which is approximately 2.2E-16.

Performs element-by-element less than or equal comparison of the first argument against the second one.  The arguments must be same-sized (unless the second argument is a scalar).  It returns a logical array/matrix of the same size as the first argument, with elements set to logical 1 where the relation is true, and elements set to logical 0 where it is not.  If the second argument is a scalar, all entries of the first argument are compared against this.  The optional tol argument specifies the maximum inequality that will be accepted as equality.  It must be a scalar if either m1 or m2 is a scalar or a one-element matrix, or it must be a matrix with the same dimensions as m1 and m2.  The default value of tol is twice the machine precision, which is approximately 2.2E-16.

Performs element-by-element less than comparison of the first argument against the second one.  The arguments must be same-sized (unless the second argument is a scalar).  It returns a logical array/matrix of the same size as the first argument, with elements set to logical 1 where the relation is true, and elements set to logical 0 where it is not.  If the second argument is a scalar, all entries of the first argument are compared against this. The optional tol argument specifies the minimum inequality that must be exceeded to return true.  It must be a scalar if either m1 or m2 is a scalar or a one-element matrix, or it must be a matrix with the same dimensions as m1 and m2.  The default value of tol is twice the machine precision, which is approximately 2.2E-16.

Performs element-by-element, not equal comparison of the first argument against the second one.  The arguments must be same-sized (unless the second argument is a scalar). It returns a logical array/matrix of the same size as the first argument, with elements set to logical 1 where the relation is true, and elements set to logical 0 where it is not.  If the second argument is a scalar, all entries of the first argument are compared against this. The optional tol argument specifies the minimum inequality that will be accepted as equality.  It must be a scalar if either m1 or m2 is a scalar or a one-element matrix, or it must be a matrix with the same dimensions as m1 and m2.  The default value of tol is twice the machine precision, which is approximately 2.2E-16.