Publications associées à An Exact Relation Between Willingness To Pay and Willingness To Accept

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MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Fabio Nobile, Giovanni Migliorati

We analyze the accuracy of the discrete least-squares approximation of a function u in multivariate polynomial spaces

P_\Lambda := span\{y \mapsto y^\nu | \nu \in \Lambda\}

with

\Lambda\subset N_0^d

over the domain

\Gamma := [-1,1]^d

, based on the sa ...

MATHICSE2015

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Fabio Nobile, Giovanni Migliorati

We analyze the accuracy of the discrete least-squares approximation of a function

u

in multivariate polynomial spaces

P_\Lambda:=span\{y\mapsto y^\nu \,: \, \nu\in \Lambda\}

with

\Lambda\subset N_0^d

over the domain

\Gamma:=[-1,1]^d

, based on the s ...

2017

An Exact Relation Between Willingness To Pay and Willingness To Accept

Graph Chatbot

Chattez avec Graph Search

Pairs of majority-decomposing functions

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Side-Channel Attacks on Threshold Implementations using a Glitch Algebra

BDD Minimization for Approximate Computing

PostScript in IPython notebooks

Effects as Implicit Capabilities

MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

The centre cannot hold: untangling two different trajectories of the 'approaches to learning'framework

On linear and quadratic Lipschitz bounds for twice continuously differentiable functions

Computation Over Gaussian Networks With Orthogonal Components

Computation Over Gaussian Networks With Orthogonal Components

The centre cannot hold: untangling two different trajectories of the 'approaches to learning'framework

Side-Channel Attacks on Threshold Implementations using a Glitch Algebra

BDD Minimization for Approximate Computing

MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Pairs of majority-decomposing functions

On linear and quadratic Lipschitz bounds for twice continuously differentiable functions

PostScript in IPython notebooks

Effects as Implicit Capabilities