'Deterministic algorithms' presentation slideshows

NP-Completeness

NP-Completeness. Decision Problems. Given Some Universal Set X, Let R be a subset of X. The decision problem for R is: Given an arbitrary element a of X, does a belong to R? Note: X is usually assumed to be a set of strings, but this can be interpreted loosely. The class P.

1.53k views • 142 slides

New Algorithms and Lower Bounds for Monotonicity Testing of Boolean Functions

Rocco Servedio Joint work with Xi Chen and Li-Yang Tan Columbia University. New Algorithms and Lower Bounds for Monotonicity Testing of Boolean Functions. Institute for Advanced Study March 2014. Simplest question about a Boolean function: Does it have some property P ?.

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Lecture 26

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Tight Bounds for Online Class-constrained Packing

Tight Bounds for Online Class-constrained Packing. Hadas Shachnai Bell Labs and The Technion IIT Tami Tamir The Technion IIT. Problem Definition. We need to pack items into bins. All items have the same (unit) size. Each item has a color (type). All the bins have the same capacity.

310 views • 17 slides

Tight Bounds for Online Class-constrained Packing

Tight Bounds for Online Class-constrained Packing. Hadas Shachnai Bell Labs and The Technion IIT Tami Tamir The Technion IIT. Problem Definition. We need to pack items into bins. All items have the same (unit) size. Each item has a color (type). All the bins have the same capacity.

182 views • 17 slides

Center for life nanoscience CLNS-IIT, P.le A.Moro 2, 00815, Rome, Italy arXiv, Feb 18, 2014

Monte Carlo uniform sampling of high-dimensional convex polytopes: reducing the condition number with applications in metabolic network analysis. Center for life nanoscience CLNS-IIT, P.le A.Moro 2, 00815, Rome, Italy arXiv, Feb 18, 2014 Mathematics-Statistics. Presented by Chao Wang.

208 views • 13 slides

Programming & Data Structures

GRIFFITH COLLEGE DUBLIN. Programming & Data Structures. NP-Complete Problems. Polynomial Time (P). All of the algorithms we have looked at so far have been polynomial-time algorithms On inputs of size n , their worst-case running time is O( n k ) for some constant k

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Optimization/Decision Problems

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CS 330: Algorithms Pre-Quiz Summary

CS 330: Algorithms Pre-Quiz Summary. Gene Itkis. Summary. Analysis of Algorithms O, o, ?, ?, ? Correctness proofs Invariants Recurrence Relations Master method Specific algorithms General approaches/techniques. Specific Algorithms. Sorting Selection Insertion [Bubble] Mergesort

195 views • 8 slides

Haim Kaplan, Uri Zwick

Haim Kaplan, Uri Zwick. Tel Aviv University. Algorithms in Action. March 2017 Last updated: March 6, 2018. Course objective. Present elegant , powerful and influential algorithmic ideas that are not fully covered in other courses.

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PROJECTS ON INTRODUCTION AND INFERENCE

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