Posters at ADPatrick E. Farrell (Department of Earth Science and Engineering, Imperial College London, UK): Automating the adjoint of finite element discretisations In this work we demonstrate the capability of

Source URL: www.autodiff.org

• Mathematics
• Mathematical analysis
• Academia
• Operations research
• Differential calculus
• Automatic differentiation
• Computer algebra
• Applied mathematics
• Numerical analysis
• Finite element method
• Mathematical optimization
• Linear programming

Think again? The amount of mental simulation tracks uncertainty in the outcome Jessica B. Hamrick1 (), Kevin A. Smith2 (), Thomas L. Griffiths1 (tom ), & Edward

Source URL: cocosci.berkeley.edu

• Academia
• Scientific modeling
• Operations research
• Simulation
• Computer simulation
• Sequential probability ratio test
• Psychology
• Applied mathematics
• Statistics

Simultaneous Placement and Scheduling of Sensors Andreas Krause Ram Rajagopal Caltech

Source URL: select.cs.cmu.edu

• Operations research
• Submodular set function
• Linear programming
• Wireless sensor network
• Mathematics
• Computer science
• Mathematical optimization
• Applied mathematics

A PARTICLE SWARM OPTIMIZATION HYPER-HEURISTIC FOR THE DYNAMIC VEHICLE ROUTING PROBLEM Michal Okulewicz, Jacek Ma´ ndziuk Faculty of Mathematics and Information Science, Warsaw University of Technology,

Source URL: bioma.ijs.si

• Operations research
• Mathematical optimization
• Mathematics
• Applied mathematics
• Computational complexity theory
• NP-complete problems
• Cybernetics
• Evolutionary algorithms
• Ant colony optimization algorithms
• Particle swarm optimization
• Swarm intelligence
• Hyper-heuristic

MATHEMATICS OF OPERATIONS Vol. 18, No. 2, May 1993 Printed in U.S.A. RESEARCH

Source URL: www.maths.lse.ac.uk

• Mathematical analysis
• Mathematics
• Analysis
• Functions and mappings
• Convex function
• Continuous function
• Injective function
• General topology
• Bijection
• injection and surjection
• Expected value
• Limit of a function
• Morphism of algebraic varieties

Skipping Steps in Deformable Simulation with Online Model Reduction Theodore Kim1,2 University of Saskatchewan1 Doug L. James2 Cornell University2

Source URL: mat.ucsb.edu

• Mathematical analysis
• Mathematics
• Numerical analysis
• Operations research
• Simulation
• Finite element method
• Numerical integration
• Physically based animation
• Linear subspace

SENSITIVITY ANALYSIS OF THE BEE COLONY OPTIMIZATION ALGORITHM Tatjana Jakˇsi´c Kr¨ uger Mathematical Institute of Serbian Academy of Sciences and Arts, Belgrade, Serbia Faculty of Technical Sciences, Novi Sad, Serbia

Source URL: bioma.ijs.si

• Mathematical optimization
• Mathematics
• Operations research
• Mathematical analysis
• Applied mathematics
• Equations
• Heuristic
• Bees algorithm
• Algorithm
• Equation solving
• Optimization problem

EXTREMAL OPTIMIZATION AND NETWORK COMMUNITY STRUCTURE No´emi Gask´o Department of Computer Science, Babe¸s-Bolyai University, Cluj-Napoca, Romania

Source URL: bioma.ijs.si

• Networks
• Network theory
• Physics
• Community structure
• Modularity
• Mathematics
• Extremal optimization
• Operations research
• Lancichinetti-Fortunato-Radicchi Benchmark

THE COMPUTATIONAL COMPLEXITY OF CONVEX BODIES Alexander Barvinok and Ellen Veomett October 2006 Abstract. We discuss how well a given convex body B in a real d-dimensional vector space V can be approximated by a set X f

Source URL: www.math.lsa.umich.edu

• Geometry
• Mathematics
• Space
• Polytopes
• Operations research
• Convex analysis
• Real algebraic geometry
• Linear algebra
• Simplex
• Linear programming
• Mathematical optimization
• Convex hull

INFORMS MATHEMATICS OF OPERATIONS RESEARCH Vol. 00, No. 0, Xxxxx 0000, pp. 000–000 issn 0364-765X | eissn | 00 | 0000 | 0001

Source URL: www2.isye.gatech.edu