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First Order System Adjustment (MIT Rule)
First Order System Adjustment (MIT Rule)

circa 10 anni fa | 6 download |

0.0 / 5

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gain adiustment (MIT Rule)
gain adiustment (MIT Rule)

circa 10 anni fa | 2 download |

0.0 / 5

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Discrete Kalman Filter with Varying Forgetting Factor
Discrete Kalman Filter with Varying Forgetting Factor

circa 10 anni fa | 1 download |

0.0 / 5

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Discrete Kalman Filter with Forgetting Factor
Discrete Kalman Filter with Forgetting Factor

circa 10 anni fa | 1 download |

0.0 / 5

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Discrete Kalman Filter
Discrete Kalman Filter

circa 10 anni fa | 1 download |

0.0 / 5

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Modified Extended Recursive Least Square with Varying Exponential Forgetting (noise on the output)
Modified Extended Recursive Least Square with Varying Exponential Forgetting (noise on the output)

circa 10 anni fa | 1 download |

0.0 / 5

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Modified Extended Recursive Least Square with Exponential Forgetting (noise on the output)
Modified Extended Recursive Least Square with Exponential Forgetting (noise on the output)

circa 10 anni fa | 1 download |

0.0 / 5

Inviato

Modified Extended Recursive Least Square (noise on the output)
Modified Extended Recursive Least Square (noise on the output)

circa 10 anni fa | 1 download |

0.0 / 5

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Extended Recursive Least Square with Varying Exponential Forgetting (noise on the output)
Extended Recursive Least Square with Varying Exponential Forgetting (noise on the output)

circa 10 anni fa | 1 download |

0.0 / 5

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Extended Recursive Least Square with Exponential Forgetting (noise on the output)
Extended Recursive Least Square with Exponential Forgetting (noise on the output)

circa 10 anni fa | 1 download |

0.0 / 5

Inviato

Extended Recursive Least Square (noise on the output)
Extended Recursive Least Square (noise on the output)

circa 10 anni fa | 1 download |

0.0 / 5

Inviato

Recursive Least Square with Varying Exponential Forgetting
Recursive Least Square with Varying Exponential Forgetting

circa 10 anni fa | 1 download |

0.0 / 5

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Batch Least Square
Batch Least Square

circa 10 anni fa | 1 download |

5.0 / 5

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Recursive Least Square
Recursive Least Square

circa 10 anni fa | 1 download |

0.0 / 5

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Recursive Least Square with Exponential Forgetting
Recursive Least Square with Exponential Forgetting

circa 10 anni fa | 1 download |

5.0 / 5

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Kaczmarz Algorithm
Kaczmarz Algorithm

circa 10 anni fa | 2 download |

0.0 / 5

Inviato

Projection Algorithm
Projection Algorithm

circa 10 anni fa | 1 download |

5.0 / 5

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Simplified Algorithm
Simplified Algorithm

circa 10 anni fa | 1 download |

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Risolto

Times 2 - START HERE
Try out this test problem first. Given the variable x as your input, multiply it by two and put the result in y. Examples:...

circa 10 anni fa

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joukowski airfoil solution using comformal maping
joukowski airfoil solution using comformal maping

circa 10 anni fa | 1 download |

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Discrete TF orders
Discrete TF orders

circa 10 anni fa | 1 download |

0.0 / 5

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Diophantine Equation
Diophantine Equation

circa 10 anni fa | 1 download |

0.0 / 5

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steady state error
GetEss

circa 10 anni fa | 1 download |

3.0 / 5

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Solution of the boundary layer over an airfoil section
Solution of the boundary layer over an airfoil section

circa 10 anni fa | 1 download |

5.0 / 5

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numerical integration functions (RK1, RK2, RK3, RK4)
numerical integration functions (RK1, RK2, RK3, RK4)

circa 10 anni fa | 2 download |

0.0 / 5

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Laplace Equation Solution about Airfoil
Laplace Equation Solution about Airfoil

circa 10 anni fa | 1 download |

5.0 / 5

Risolto

Add two numbers
Given a and b, return the sum a+b in c.

circa 10 anni fa

Risolto

Find the sum of all the numbers of the input vector
Find the sum of all the numbers of the input vector x. Examples: Input x = [1 2 3 5] Output y is 11 Input x ...

circa 10 anni fa

Risolto

Make the vector [1 2 3 4 5 6 7 8 9 10]
In MATLAB, you create a vector by enclosing the elements in square brackets like so: x = [1 2 3 4] Commas are optional, s...

circa 10 anni fa

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the effect of satellite inertia
the effect of satellite inertia

circa 10 anni fa | 1 download |

0.0 / 5