Introduction to Algorithms For Big Data Compsci 229r Lecture 23
Exploring Algorithms For Big Data Compsci 229r Lecture 23 reveals several interesting facts. External memory model: linked list, matrix multiplication, B-tree, buffered repository tree, sorting.
Algorithms For Big Data Compsci 229r Lecture 23 Comprehensive Overview
Competitive paging, cache-oblivious Amnesic dynamic programming (approximate distance to monotonicity). Matrix completion.
Krahmer-Ward proof, Iterative Hard Thresholding.
Summary & Highlights for Algorithms For Big Data Compsci 229r Lecture 23
- MapReduce: TeraSort, minimum spanning tree, triangle counting.
- Heavy
- Path-following interior point, first order methods (gradient descent).
- second order methods (Newton's method), path-following interior point wrap-up.
- Communication complexity (indexing, gap hamming) + application to median and F0 lower bounds.
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