1 |
A brief review of linear algebra and orthogonal decomposition techniques |
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2 |
A brief review of linear algebra and orthogonal decomposition techniques |
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3 |
A brief review of linear algebra and orthogonal decomposition techniques |
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4 |
Modeling of data, Ridge regression, Automatic selection |
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5 |
Modeling of data, Ridge regression, Automatic selection |
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6 |
Inverse Theory |
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7 |
Numerical methods for solving partial differential equations |
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8 |
Numerical methods for solving partial differential equations |
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9 |
Numerical methods for solving partial differential equations |
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10 |
Numerical methods for solving partial differential equations |
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11 |
Introduction to Optimization |
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12 |
Classical Methods of Unconstrained Optimization |
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13 |
Classical Methods of Unconstrained Optimization |
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14 |
Classical Methods of Unconstrained Optimization |
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15 |
Classical Methods of Unconstrained Optimization |
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16 |
GA as an example of Global Optimization |
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17 |
Ant colony optimization |
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18 |
An Introduction to Artificial Neural Networks |
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19 |
MLP & RBF neural networks |
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20 |
Special topics in neural networks |
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21 |
Special topics in neural networks |
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22 |
Molecular simulation |
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