Merge algorithm

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Theoretical computer science
Algorithms and data structures
Analysis of algorithms

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Related lectures (26)

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Confidence Intervals and Hypothesis Tests

Covers confidence intervals, hypothesis tests, standard errors, statistical models, likelihood, Bayesian inference, ROC curve, Pearson statistic, goodness of fit tests, and power of tests.

Transformations of Joint Densities

Covers the transformations of joint continuous densities and their implications on probability distributions.

Recursive Sorting: Merge Sort

Covers the concept of Merge Sort, a highly efficient recursive sorting algorithm.

Recursive Sorting: Merge Sort

Explains recursive sorting using Merge Sort and its linearithmic complexity.

Fast Data Formats

Compares fast data formats and provides tips for efficient data processing.

Parallel Sorting: Merge Sort Algorithm

Covers the implementation of a parallel merge sort algorithm in Scala, comparing its performance with quicksort.

Tuples and Generic Methods

Covers the implementation of merge sort in Scala and the parameterization of sort functions.

Computation & Algorithms II: Binary Search and Merge Sort

Explores binary search, merge sort, recursion in algorithms, Fibonacci numbers, and dynamic programming.

Generating Functions: Properties and Applications

Explores generating functions, Laplace transform, and their role in probability distributions.

Recursive Sorting: Merge Sort

Covers the concept of Merge Sort, a recursive sorting algorithm that divides a list into sublists until each sublist has one element.