GitHub

linear_approximation_table.m

equations_in = [0, X4, X3, xor(X4,X3), X2, xor(X2,X4), xor(X2,X3), xor(xor(X2,X3),X4), X1, xor(X1,X4),... xor(X1,X3), xor(xor(X1,X3),X4), xor(X1,X2), xor(xor(X1,X2 ...
GitHub

Linear_approximation_table_script

This is my University work from cryptography course. This is a script, which takes an subtitution, and creates a linear approximation table for it. In cryptography, linear cryptanalysis is a general ...
IEEE

An accurate linear approximation method utilizing a bipartite reciprocal table for a floating point divider

Abstract: With the advent of fast multipliers, the latency of a floating point division is greatly reduced using a multiplicative method rather than a subtractive one. For most multiplicative division ...
Simon Fraser University

Section 3.5 Linear Approximation and Newton's Method

The circumference of a sphere is measured to be 24 cm, with a possible error of 0.25 cm. Use the differential \(dV\) to estimate the maximum error in the calculated ...
Scientific Research Publishing

Continuous Piecewise Linear Approximation of BV Function ()

School of Mathematics and Physics, Jinggangshan University, Ji’an, China. The fundamental problem of approximation theory is to resolve a possibly complicated function, called the target function, by ...
Microsoft

Effective Multi-step Temporal-Difference Learning for Non-Linear Function Approximation

Multi-step temporal-difference (TD) learning, where the update targets contain information from multiple time steps ahead, is one of the most popular forms of TD learning for linear function ...
Microsoft

Optimism in reinforcement learning with generalized linear function approximation

We design a new provably efficient algorithm for episodic reinforcement learning with generalized linear function approximation. We analyze the algorithm under a new expressivity assumption that we ...