The meaning of the convergence in the WSLS algorithm is different with regard the ordinary acceptance of the term.
We have proved the convergence stability of the proposed WSLS algorithm in Theorem 1.
We have finally proven that the WSLS algorithm converges from a random access situation to a maximization of throughput.
In this section, we mainly perform a two-part simulation of the WSLS algorithm.
We compare the proposed WSLS algorithm, the stochastic learning solution in , and the exhaustive solution.
From the figure, we can see that (i) the throughput of WSLS algorithm is higher than the stochastic learning solution  and (ii) the proposed WSLS algorithm has the same performance with the exhaustive solution.
It is clear that the JFI of WSLS is always staying above that of the other two algorithms.
From the figure, it is easy to find that the proposed WSLS algorithm has almost the same performance as the exhaustive algorithm and the stochastic learning solution.
It is noted from the above figures that (i) the proposed WSLS converges fast especially with large number of secondary users or high channel idle probabilities, (ii) the proposed WSLS algorithm has the same throughput with the exhaustive solution, and they are both better than stochastic learning solution  in heterogeneous systems, (iii) the throughput values of the three algorithms in homogeneous systems are practically the same, and (iv) the WSLS achieves near fair results both in heterogeneous and homogeneous systems.
With this approach, targeted student counseling, Opening Doors, and WSLS (maximum estimate) all see their ECRs leapfrog at least one program not targeted to disadvantaged students.
The cost calculation is complicated by the estimation method of the maximum effect, which is why the costs reported in the second column of table 1are so different for the WSLS minimum effect.
For instance, Wadham confided in private correspondence that the commission's recommendations on WSLS
did 'not seem to have pleased the Government much', (99) a viewpoint that almost certainly reflected his disappointment at the Ministry of Post-War Reconstruction's failure to grasp the centrality of freehold tenure (or 'ownership') to commissioners' vision for sustainable agriculture.
All professional learning materials shall be designed and coherent with WSLS
and coherent with nationally accepted rubrics, specifically the EQuIP rubric developed by Achieve, Inc.