07-Jan-2022 18:15:14 counterfeit_detection_test(): MATLAB/Octave version 9.8.0.1380330 (R2020a) Update 2. Test counterfeit_detection(). counterfeit_detection_brute_test MATLAB version Test counterfeit_detection_brute, which seeks to identify multiple counterfeit coins among n coins using brute force. There were 9 fakes; the function found 9 suspects. Indices of fakes: #1: 21 #2: 31 #3: 33 #4: 39 #5: 67 #6: 90 #7: 91 #8: 95 #9: 98 Indices of suspects: #1: 21 #2: 31 #3: 33 #4: 39 #5: 67 #6: 90 #7: 91 #8: 95 #9: 98 counterfeit_detection_combinatorial_test MATLAB version Test counterfeit_detection_combinatorial, which can identify one counterfeit coin among 2^logn-1 coins using just logn comparisons. 7 coins checked using 3 comparisons Fake = #5, Suspect = #5 counterfeit_detection_combinatorial_test MATLAB version Test counterfeit_detection_combinatorial, which can identify one counterfeit coin among 2^logn-1 coins using just logn comparisons. 63 coins checked using 6 comparisons Fake = #29, Suspect = #29 counterfeit_detection_compressed_test MATLAB/Octave version 9.8.0.1380330 (R2020a) Update 2 Test counterfeit_detection_compressed, which seeks to identify multiple counterfeit coins among n coins using compressed sensing techniques. Optimal solution found. 100 coins were checked. Correct coin weight is 17 There were 3 fakes; Fake Index Weight: #1: 11 17.9037 #2: 62 18.4128 #3: 99 17.6915 20 random subsets were weighed. The function found 3 suspects. Suspect Index Weight: #1: 11 17.9037 #2: 62 18.4128 #3: 99 17.6915 The test succeeded counterfeit_detection_test(): Normal end of execution. 07-Jan-2022 18:15:15