Gradient descent: Difference between revisions
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m (→{{header|REXX}}: changed to use a much smaller tolerance, added wording to the REXX section header..) |
m (→{{header|Phix}}: <small> unnecessary) |
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printf(1,"The minimum is at x = %.13f, y = %.13f for which f(x, y) = %.16f\n", {x[1], x[2], g(x)})</lang> |
printf(1,"The minimum is at x = %.13f, y = %.13f for which f(x, y) = %.16f\n", {x[1], x[2], g(x)})</lang> |
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{{out}} |
{{out}} |
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Results now match (at least) Algol 68/W, Fortran, Go, Julia, Raku, REXX, and Wren [ |
Results now match (at least) Algol 68/W, Fortran, Go, Julia, Raku, REXX, and Wren [to 6dp or better anyway].<br> |
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Note that specifying a tolerance < 1e-7 causes an infinite loop |
Note that specifying a tolerance < 1e-7 causes an infinite loop on Phix, whereas REXX copes with a much smaller tolerance.<br> |
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Results on 32/64 bit Phix agree to 13dp, which I therefore choose to show in full here (but otherwise would not really trust). |
Results on 32/64 bit Phix agree to 13dp, which I therefore choose to show in full here (but otherwise would not really trust). |
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<pre> |
<pre> |
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