07-Jan-2022 15:59:46

besselj_test():
  MATLAB/Octave version 9.8.0.1380330 (R2020a) Update 2
  Test besselj().

bessel_jx_values_test():
  BESSEL_JX_VALUES stores values of 
  the Bessel Jn function for NONINTEGER order.

     N      X            JN(X)

      0.500000      0.200000    3.5445074421140110e-01
      0.500000      1.000000    6.7139670714180311e-01
      0.500000      2.000000    5.1301613656182776e-01
      0.500000      2.500000    3.0200490606236569e-01
      0.500000      3.000000    6.5008182877375781e-02
      0.500000      5.000000   -3.4216798479816180e-01
      0.500000     10.000000   -1.3726373575505049e-01
      0.500000     20.000000    1.6288076385502989e-01
      1.500000      1.000000    2.4029783912342700e-01
      1.500000      2.000000    4.9129377868716229e-01
      1.500000      5.000000   -1.6965130614474080e-01
      1.500000     10.000000    1.9798249275589311e-01
      1.500000     50.000000   -1.0947687298831800e-01
      2.500000      1.000000    4.9496810228477940e-02
      2.500000      2.000000    2.2392453146891581e-01
      2.500000      5.000000    2.4037720111131741e-01
      2.500000     10.000000    1.9665848358181839e-01
      2.500000     50.000000    2.3037219509625530e-02
      1.250000      1.000000    3.3141455085589039e-01
      1.250000      2.000000    5.4617342404028402e-01
      1.250000      5.000000   -2.6165841520941241e-01
      1.250000     10.000000    1.2960355137912891e-01
      1.250000     50.000000   -1.1174321719335520e-01
      2.750000      1.000000    3.1426235705279353e-02
      2.750000      2.000000    1.7179221927465271e-01
      2.750000      5.000000    3.1266340695447858e-01
      2.750000     10.000000    1.3402891193043640e-01
      2.750000     50.000000    6.2359671351064447e-02

besselj_matlab_test():
  MATLAB's BESSELJ function evaluates 
  the Bessel Jn function for NONINTEGER order.

        NU            X               besselj(nu,x)             Tabulated

      0.500000      0.200000        0.3544507442114012        0.3544507442114011
      0.500000      1.000000        0.6713967071418032        0.6713967071418031
      0.500000      2.000000        0.5130161365618278        0.5130161365618278
      0.500000      2.500000        0.3020049060623653        0.3020049060623657
      0.500000      3.000000       0.06500818287737578       0.06500818287737578
      0.500000      5.000000       -0.3421679847981628       -0.3421679847981618
      0.500000     10.000000       -0.1372637357550497       -0.1372637357550505
      0.500000     20.000000        0.1628807638550311        0.1628807638550299
      1.500000      1.000000         0.240297839123427         0.240297839123427
      1.500000      2.000000        0.4912937786871624        0.4912937786871623
      1.500000      5.000000       -0.1696513061447411       -0.1696513061447408
      1.500000     10.000000        0.1979824927558923        0.1979824927558931
      1.500000     50.000000        -0.109476872988318        -0.109476872988318
      2.500000      1.000000       0.04949681022847795       0.04949681022847794
      2.500000      2.000000        0.2239245314689158        0.2239245314689158
      2.500000      5.000000        0.2403772011113181        0.2403772011113174
      2.500000     10.000000        0.1966584835818175        0.1966584835818184
      2.500000     50.000000       0.02303721950962553       0.02303721950962553
      1.250000      1.000000        0.3314145508558904        0.3314145508558904
      1.250000      2.000000         0.546173424040284         0.546173424040284
      1.250000      5.000000       -0.2616584152094148       -0.2616584152094124
      1.250000     10.000000        0.1296035513791287        0.1296035513791289
      1.250000     50.000000       -0.1117432171933552       -0.1117432171933552
      2.750000      1.000000       0.03142623570527933       0.03142623570527935
      2.750000      2.000000        0.1717922192746527        0.1717922192746527
      2.750000      5.000000        0.3126634069544801        0.3126634069544786
      2.750000     10.000000        0.1340289119304351        0.1340289119304364
      2.750000     50.000000       0.06235967135106445       0.06235967135106445

besselj_test():
  Normal end of execution.

07-Jan-2022 15:59:46