The Analysis of Experimental Uncertainty in AP Physics 1 and 2 The following paragraphs describe the expectations for the depth of understanding of experimental uncertainty that will be assessed on the AP Physics 1 and 2

Source URL: secure-media.collegeboard.org

• Statistics
• Statistical theory
• Knowledge
• Numerical analysis
• Estimation theory
• Advanced Placement
• Measurement
• Uncertainty
• AP Physics 1
• Linear regression
• Approximation error
• Data analysis

Neural Word Embedding as Implicit Matrix Factorization Omer Levy Department of Computer Science Bar-Ilan University

Source URL: papers.nips.cc

• Algebra
• Linear algebra
• Mathematics
• Numerical linear algebra
• Matrix theory
• Singular value decomposition
• Dimension reduction
• Matrix
• Low-rank approximation
• Singular value
• Pointwise mutual information
• Factorization

48 Automated Design of Synthetic Gene Circuits through Linear Approximation and Mixed Integer Optimization Linh Huynh

Source URL: www.cs.arizona.edu

• Biology
• Gene expression
• Systems science
• Systems biology
• Operations research
• Molecular genetics
• Mathematical optimization
• Synthetic biology
• Promoter
• Gene regulatory network
• Linear programming
• Artificial gene synthesis

I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio

Source URL: mmds-data.org

• Algebra
• Mathematics
• Multivariate statistics
• Numerical analysis
• Dimension reduction
• Iterative methods
• Numerical linear algebra
• Principal component analysis
• Singular value decomposition
• Stochastic optimization
• Algorithm
• Sparse dictionary learning

IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 50, NO. 10, OCTOBERGreed is Good: Algorithmic Results for Sparse Approximation

Source URL: users.cms.caltech.edu

• Signal processing
• Mathematics
• Algebra
• Electrical engineering
• Matching pursuit
• Sparse approximation
• Babel function
• Coherence
• Wavelet
• Algorithm
• Approximation algorithm
• Linear programming

Advances in the Minimization of Finite Sums Mark Schmidt Joint work with Nicolas Le Roux, Francis Bach, Reza Babanezhad and Mohamed Ahmed University of British Columbia Context: Minimizing Finite Sums

Source URL: www.proba.jussieu.fr

• Numerical analysis
• Numerical linear algebra
• Stochastic optimization
• Gradient descent
• Support vector machine
• Gradient method
• Operations research
• Mathematical optimization
• Stochastic gradient descent
• Stochastic approximation

Approximation Algorithms for Single and Multi-Commodity Connected Facility Location Fabrizio Grandoni & Thomas Rothvoß Department of Mathematics, M.I.T.

Source URL: www.math.washington.edu

• NP-complete problems
• Approximation algorithms
• Operations research
• Facility location problem
• Combinatorial optimization
• Steiner tree problem
• APX
• Draft:Sub-linear time algorithm
• Planar separator theorem

Metric Clustering via Consistent Labeling

Source URL: theory.stanford.edu

• Combinatorial optimization
• Operations research
• NP-complete problems
• Approximation algorithms
• Computational problems
• Linear programming
• Minimum k-cut
• Optimization problem
• Ear decomposition
• Decomposition method

Algorithms as Mechanisms: The Price of Anarchy of Relax-and-Round ¨ PAUL DUTTING, ETH Z¨ urich

Source URL: paulduetting.com

• Operations research
• Approximation algorithm
• Randomized rounding
• Greedy algorithm
• Algorithm
• Relaxation
• Combinatorial auction
• Price of anarchy
• Linear programming
• Travelling salesman problem
• Integer programming
• Semidefinite programming

LINEAR RECURRENCES AND THE SUBSPACE THEOREM FEDERICO ZERBINI I will divide my talk into 2 parts. First of all I will talk about Diophantine approximation, which is the branch of mathematics studying the approximation of

Source URL: www.math.uni-bonn.de