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Mike Sheppard


Active since 2011

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Probability Distributions
Probability Distributions

6 years ago | 27 downloads |

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Random arrays from the left truncated normal distribution.
Random arrays from the left truncated normal distribution.

9 years ago | 0 downloads |

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Fit all valid parametric probability distributions to data
ALLFITDIST Fit all valid parametric probability distributions to data.

10 years ago | 149 downloads |

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Multivariate normal random vectors with fixed mean and covariance matrix
Random vectors from the multivariate normal distribution with fixed mean and covariance matrix.

10 years ago | 3 downloads |

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Political Apportionment
Allocates seats according to METHOD until NUM seats have been allocated

10 years ago | 1 download |

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Apply a function to a set of probability distributions
Returns the distribution of the function FUN applied to the set of distributions given in VARARGIN

10 years ago | 2 downloads |

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Sum of probability distributions
SUMPDF Probability distribution of the sum of distributions

10 years ago | 2 downloads |

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Minkowski Sum
Minkowski sum of two arrays

10 years ago | 2 downloads |

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All Sums
Distribution of unique sums among all combinations of vectors.

10 years ago | 1 download |

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Generalized Bar Charts
Stacked, Grouped, Clustered, Floating; and MIXED of any combination

10 years ago | 10 downloads |

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Repeated Values
Finds all repeated values for input X, and their attributes.

10 years ago | 0 downloads |

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System of linear congruences
Solution to Simultaneous Linear Congruences

10 years ago | 2 downloads |

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polymorph
Morphs two polygons

10 years ago | 3 downloads |

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Read Wikipedia articles
S=wiki(str) returns the Wikipedia article for string 'str'

10 years ago | 2 downloads |

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Excel Column Conversion
Converts between column name and number for Excel representation

10 years ago | 15 downloads |

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Nested logical indexing
nested(IN) returns the final result of a list of nested logical indices.

10 years ago | 0 downloads |

Question


Row sums by vector indices without for loop?
Best illustrated by example M=rand(5,10); s=[1 3; 5 8; 9 10]; for i=1:size(s,1) sm(:,i)=sum(M(:,s(i,1):s(i,2)),2); en...

11 years ago | 2 answers | 1

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