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André Flakke


Last seen: 3 years ago Active since 2018

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Studied industrial mathematics at NTNU (Norway).

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Submitted


DGLAP Fragmentation Function Evolution
This code investigates a non-stochastic method to evolve the GDLAP fragmentation functions.

5 years ago | 2 downloads |

0.0 / 5
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movingTrihedron
The function computes the 'moving trihedron' in terms of the unit tangent, normal and binormal.

6 years ago | 1 download |

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Spherical Harmonics
Computes the real and imaginary spherical harmonics. Additionally, functions to compute the Clebsch-Gordan coefficients is provi...

6 years ago | 1 download |

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Find Boundary of Domain Filled with 2D or 3D Simplices
Finds the boundary of a domain filled with 2D or 3D simplices using the nodal connectivity list.

7 years ago | 1 download |

0.0 / 5
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Tensor Utilities
Tensor Utilites for Tensor Manipulations

7 years ago | 2 downloads |

5.0 / 5
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MinkowskiDistance( X,Y, p )
Computes the Minkowski Distance with exponent p between the columns of two matrices.

7 years ago | 1 download |

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uniqueTolRows() & uniqueTolColumns()
Finds and removes redundant rows or columns of a data matrix measured in metric distance.

7 years ago | 1 download |

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DoubleDifferentialLagrangePolynomial( EvaluationPoints,InterpolationPoints )
Matrix with second derivative of Lagrange polynomials

8 years ago | 1 download |

0.0 / 5
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DifferentialLagrangePolynomial( EvaluationPoints,InterpolationPoints )
Matrix with first derivative of Lagrange polynomials

8 years ago | 1 download |

0.0 / 5
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LagrangePolynomial( EvaluationPoints,InterpolationPoints )
Matrix with Lagrange polynomials

8 years ago | 1 download |

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SparseStoreArray( a,Adims,tol )
Stores only values |A_ij| > tol of a matrix a = A(:) with dimensions Adims = size(A)

8 years ago | 6 downloads |

0.0 / 5
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SparseMatrixMultiply(A, B,tol )
Multiplies 2 sparse matrices A * B with tol deiciding the sparsity pattern.

8 years ago | 5 downloads |

0.0 / 5
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SparseStore( A,tol )
Stores only nonzero values and indices of a matrix

8 years ago | 6 downloads |

0.0 / 5
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