Update README.md

MagiFeeney · Jul 4, 2022 · c23af5e · c23af5e
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@@ -72,47 +72,35 @@ Use a simple line of code for unconstrained optimizer
 optimizer.plot()
 ```
 we can visualize the 2D curve with iterated sequence. Such that
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 Or use
 ```python
 optimizer = optim.Penalty(..., plot=True)
 ```
 we can visualize the function and sequence of each inner iteration with the 3D surface with iterated sequence, and its contour with iterated sequence.
 
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 | <img src="https://github.com/MagiFeeney/MagiOPT/blob/859f80525d66a1d6799024721b8fb5a508a9ae6f/MagiOPT/examples/penalty/Figure_1.png">  |  <img src="https://github.com/MagiFeeney/MagiOPT/blob/859f80525d66a1d6799024721b8fb5a508a9ae6f/MagiOPT/examples/penalty/Figure_2.png"> |
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 | <img src="https://github.com/MagiFeeney/MagiOPT/blob/859f80525d66a1d6799024721b8fb5a508a9ae6f/MagiOPT/examples/penalty/Figure_3.png">  |  <img src="https://github.com/MagiFeeney/MagiOPT/blob/859f80525d66a1d6799024721b8fb5a508a9ae6f/MagiOPT/examples/penalty/Figure_4.png"> |
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 | <img src="https://github.com/MagiFeeney/MagiOPT/blob/859f80525d66a1d6799024721b8fb5a508a9ae6f/MagiOPT/examples/penalty/Figure_9.png">  |  <img src="https://github.com/MagiFeeney/MagiOPT/blob/859f80525d66a1d6799024721b8fb5a508a9ae6f/MagiOPT/examples/penalty/Figure_10.png"> |
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 | <img src="https://github.com/MagiFeeney/MagiOPT/blob/859f80525d66a1d6799024721b8fb5a508a9ae6f/MagiOPT/examples/penalty/Figure_11.png">  |  <img src="https://github.com/MagiFeeney/MagiOPT/blob/859f80525d66a1d6799024721b8fb5a508a9ae6f/MagiOPT/examples/penalty/Figure_12.png"> |
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 ## Reminder
 - Majority of algorithms are sensitive to initial point; choosing properly will save a lot of your effort
 - Due to ill-conditioned situation, constrained optimizer may need you to trial-and-error
-- Barzilai-Borwein method is not stable for non-qudratic problem, however, you can still infer path through an intermediate visualization
+- The behavior of Barzilai-Borwein method is not stable for non-qudratic problem, however, you can still infer path through an intermediate visualization
 - You can extract the sequence easily by
   ```python
   optimization.sequence