Crate multistochgrad

Modules

applis	Some applications providing examples and tests. They show how implement Traits defined in types.rs to build a use case.
mnist	Structure and functions to read MNIST database
prelude	to include necessary files
sag	Implementation of basic Stochastic Average Gradient (SAG)
scsg	A Rust implementation of Lei-Jordan paper: "On the adaptativity of Stochastic gradient based optimization" (2019) https://arxiv.org/abs/1904.04480
svrg	A Rust implementation of Johnson-Zhang paper: "Acceleration stochastic Gradient Descent using Predictive Variance Reduction" https://papers.nips.cc/paper/4937-accelerating-stochastic-gradient-descent-using-predictive-variance-reduction.pdf
types	This file is inspired by the crate optimisation written by Oliver Mader b52@reaktor42.de. I kept the traits Function, FunctionC1, Summation and SummationC1 which provides the interface for users to define a minimisation problem.