at (2, 1):
..
subject to the original constraints yields the solution 
with 
.
[Note that 
.]
.
,
.
.| Frank-Wolfe Algorithm - Next Iteration | Previous | Next |
| Second trial solution: |
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| We begin the second iteration by evaluating the partial derivatives
of
at (2, 1): |
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| so the approximating objective function .. |
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| Maximizing
subject to the original constraints yields the solution
with .
[Note that .] |
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| The line between (2, 1) and (0, 7) is | |
| . |
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| , |
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| which is maximized at . |
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| The resulting new trial solution is . |