# Steepest ascent/descent is a simple and efficient optimization method ... in matlab

The following Matlab project contains the source code and Matlab examples used for steepest ascent/descent is a simple and efficient optimization method ... . This m-file provides a simple and efficient optimization method based on statistical design of experiments by the steepest ascent/descent procedure to predict points headed (hopefully) toward to optimum (maximum or minimum) for a first-order design.

# Gradient Descent Matlab Code

The following matlab project contains the source code and matlab examples used for gradient descent.

# Linear gradient descent from lectures of andrew ng in matlab

The following Matlab project contains the source code and Matlab examples used for linear gradient descent from lectures of andrew ng. function [ args ] = geadientDescent( data ) where the lines of the matrix are datapoints and columns are dimensions, last dimension is one to be infered.

# Stochastic gradient descent in matlab

The following Matlab project contains the source code and Matlab examples used for stochastic gradient descent. Solving the unconstrained optimization problem using stochastic gradient descent method.

# Simplified gradient descent optimization in matlab

The following Matlab project contains the source code and Matlab examples used for simplified gradient descent optimization. This example was developed for use in teaching optimization in graduate engineering courses.

# Gradient descent in matlab

The following Matlab project contains the source code and Matlab examples used for gradient descent. Finds local minima according to http://en.

# Regression with gradient descent in matlab

The following Matlab project contains the source code and Matlab examples used for regression with gradient descent. Regression with Gradient Descent; A coefficient finding technique for the desired system model I included different functions to model the data using descent gradient technique performed Linear Regression of randomly generated data In Arbitary.