Advanced Algorithms – COMS31900Lecture 17 Approximation Algorithms (part two) more constant factor approximations

Source URL: www.cs.bris.ac.uk

• Mathematics
• Scheduling
• Job shop scheduling
• Mathematical sciences
• Theoretical computer science
• Bin packing problem
• Algorithm
• Shifting bottleneck heuristic
• David Shmoys
• Operations research
• Applied mathematics
• Mathematical optimization

Approximation Algorithms Recap Advanced Algorithms – COMS31900 A polynomial time algorithm A is an α-approximation for problem P if, it always outputs a solution s with

Source URL: www.cs.bris.ac.uk

• Complexity classes
• NP-complete problems
• Bin packing problem
• Approximation algorithms
• Discrete geometry
• Packing problem
• Polynomial-time approximation scheme
• Time complexity
• Bin
• Theoretical computer science
• Computational complexity theory
• Applied mathematics

Approximation Algorithms Recap Advanced Algorithms – COMS31900 An algorithm A is an α-approximation for problem P if,

Source URL: www.cs.bris.ac.uk

• Complexity classes
• Bin packing problem
• Approximation algorithm
• Polynomial-time approximation scheme
• Subset sum problem
• NP
• PP
• Time complexity
• P
• Theoretical computer science
• Computational complexity theory
• Applied mathematics

Approximation Algorithms Recap Advanced Algorithms – COMS31900 An algorithm A is an α-approximation for problem P if,

Source URL: www.cs.bris.ac.uk

• NP-complete problems
• Operations research
• Bin packing problem
• Approximation algorithm
• Job shop scheduling
• Greedy algorithm
• Algorithm
• Theoretical computer science
• Mathematics
• Applied mathematics

Data Locality Problems and Colored Bin Packing Andy Twigg (Oxford), Eduardo Xavier (Campinas, Brazil) May 11, 2009 Andy Twigg (Oxford), Eduardo Xavier (Campinas, Brazil)

Source URL: www.cs.bris.ac.uk

• Operations research
• Job shop scheduling
• Campinas
• Approximation algorithm
• Bin
• Theoretical computer science
• Applied mathematics
• Bin packing problem

Advanced Algorithms – COMS31900Lecture 18 Approximation Algorithms (part three) (Fully) Polynomial Time Approximation Schemes

Source URL: www.cs.bris.ac.uk

• NP-complete problems
• Dynamic programming
• Subset sum problem
• Bin packing problem
• Approximation algorithm
• Complexity classes
• Combinatorial optimization
• NP
• Partition problem
• Theoretical computer science
• Computational complexity theory
• Applied mathematics

NP-completeness recap Advanced Algorithms – COMS31900 • NP is the class of problems we can

Source URL: www.cs.bris.ac.uk

Optimizing Web Traffic via the Media Scheduling Problem Lars Backstrom∗ Jon Kleinberg† Ravi Kumar

Source URL: www.cs.cornell.edu

• Applied mathematics
• Bin packing problem
• Dynamic programming
• Function
• Big O notation
• Clickthrough rate
• Scheduling
• Mathematical optimization
• Mathematics
• Operations research
• Mathematical analysis

Virtual Machine Consolidation in Cloud Data Centers using ACO Metaheuristic Md Hasanul Ferdaus1 , Manzur Murshed2 , Rodrigo N. Calheiros3 , Rajkumar Buyya3 1

Source URL: www.cloudbus.org

• Virtual machines
• Mathematical optimization
• Search algorithms
• Ant colony optimization algorithms
• Stochastic optimization
• Genetic algorithm
• Bin packing problem
• VM
• V/Vm
• System software
• Software
• Applied mathematics

___________________________ Extreme Point-Based Heuristics for Three-Dimensional Bin Packing Teodor Gabriel Crainic Guido Perboli

Source URL: www.cirrelt.ca

• Discrete geometry
• Bin packing problem
• Packaging
• Heuristics
• Packing problem
• Search algorithm
• Algorithm
• Greedy algorithm
• Mathematical optimization
• Mathematics
• Applied mathematics
• Operations research