On the geometry of the f -invariant Hanno von Bodecker∗ Abstract The f -invariant is a higher version of the e-invariant that takes values in the divided congruences between modular forms; it can be

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

• Characteristic classes
• Differential geometry
• Algebraic topology
• Differential topology
• Chern class
• ChernWeil homomorphism
• AtiyahSinger index theorem
• Thom space
• Cobordism
• Vector bundle
• Manifold
• Fiber bundle

Linear Equations Stephen Boyd EE103 Stanford University October 7, 2015

Source URL: stanford.edu

• Differential calculus
• Mathematical analysis
• Group theory
• Vector space
• Vectors
• Derivative
• Linear equation
• Affine transformation
• Linear function
• Linear algebra
• Linear regression

ES 111 Mathematical Methods in the Earth Sciences Problem Set 2 - Due Fri 9th Oct 2015 Warmup (NPC) 1a) Find θ, where θ is the angle between [2,2,2] and [ 12 , 21 , 0].

Source URL: www.es.ucsc.edu

• Vectors
• Abstract algebra
• Euclidean vector
• Linear algebra
• Vector calculus
• Vector space
• Equation

We propose a new class of convex penalty functions, called variational Gram functions (VGFs), that can promote pairwise relations, such as orthogonality, among a set of vectors in a vector space. These functions can serv

Source URL: mmds-data.org

Midterm #2 SOLUTIONS Math 317 November 5th, 2010 Name Student Number

Source URL: math.colorado.edu

• Vector calculus
• Vector field
• Line integral
• Closed and exact differential forms
• Derivative
• Curl
• Vector space
• Conservative vector field
• Flow
• Euclidean vector
• Vector bundle
• Leibniz integral rule

Provided by the author(s) and NUI Galway in accordance with publisher policies. Please cite the published version when available. Title Author(s)

Source URL: pars.ie

• Linear algebra
• Vectors
• Abstract algebra
• Vector calculus
• Cosine similarity
• Euclidean vector
• Vector space
• Random indexing
• Vector
• Normed vector space
• Basis
• Singular value decomposition

Faster Implementation of Scalar Multiplication on Koblitz Curves Diego F. Aranha Armando Faz Hern´andez Julio L´opez Francisco Rodr´ıguez Henr´ıquez

Source URL: delta.cs.cinvestav.mx

• Group theory
• Scalar multiplication
• Elliptic curve
• Vector space

Nonlinear Feature Selection with the Potential Support Vector Machine Sepp Hochreiter and Klaus Obermayer Technische Universit¨ at Berlin Fakult¨

Source URL: www.bioinf.jku.at

• Support vector machines
• Statistical classification
• Feature selection
• Sequential minimal optimization
• Sepp Hochreiter
• Vector space
• Duality
• Least squares support vector machine
• Ranking SVM

Department of Electrical Engineering and Computer Science MASSACHUSETTS INSTITUTE OF TECHNOLOGYDistributed System Engineering: SpringQuiz I Solutions

Source URL: nil.csail.mit.edu

• Distributed computing
• Computer
• Vector space
• Client

More information on R functions arraymax: find the maximum value in an array and the associated dim names. Any NAs in the array are ignored. This function calls the function dnelement which the user must create (source

Source URL: fluke.vims.edu

• Vectors
• Summary statistics
• Covariance and correlation
• Estimation theory
• Regression analysis
• Variance
• Sample mean and covariance
• Ellipse
• Expected value
• Euclidean vector
• Vector space
• Matrix