Search
Code Directory
 ASP
 ASP.NET
 C/C++
 CFML
 CGI/PERL
 Delphi
 Development
 Flash
 HTML
 Java
 JavaScript
 Pascal
 PHP
 Python
 SQL
 Tools
 Visual Basic & VB.NET
 XML
New Code
Vue Injector 3.3
Spectrum Analyzer pro Live 2019
Devart Excel Add-in for HubSpot 2.1
RentALLScript - Airbnb clone 2.2
SuiteCRM Theme Customization 7.11.6
iScripts NetMenus 3.1
iScripts EasyIndex 2.2
iScripts EasySnaps 2.0
Australia MyPost shipping For Magento 2 1.0.0
Australia Post eParcel For Magento 1.1.1
Source Control for SQL Server 2.0
Answers phpSoftPro 3.12
Exlcart 2.0
School College ERP 1.3.2
White-label Grocery Delivery App Solution 2.0
Top Code
iScripts EasySnaps 1
iScripts EasyIndex 1
iScripts NetMenus 2.0
ATN Site Builder 3.0
Azizi search engine script PHP 4.1.10
IcrediBB Bulletin Board System 1.0
JE Guestbook 1.1
Cover Flow FX 0.2.12
Current Location 1.5.9
Guestbook PHP Script 1.1
DBForms from MSAccess to PHP+PostgreSQL 1.0.0
Simple Comments Script 0.930
Vue Injector 3.3
EV Widget Post 0.3
ATN Resume Finder 2.0
Top Rated
phpEnter 5.1.
Quick Maps For Dynamics CRM 3.1
Single Leg MLM 1.2.1
Azizi search engine script PHP 4.1.10
Paste phpSoftPro 1.4.1
Extreme Injector 3.7
Deals and Discounts Website Script 1.0.2
Solid File System OS edition 5.1
Classified Ad Lister 1.0
Aglowsoft SQL Query Tools 8.2
Invoice Manager by PHPJabbers 3.0
ICPennyBid Penny Auction Script 4.0
PHP Review Script 1.0
ATN Resume Finder 2.0
ATN Site Builder 3.0
Simplified Gradient Descent Optimization 1.0
File ID: 84430






Simplified Gradient Descent Optimization 1.0
Download Simplified Gradient Descent Optimization 1.0http://www.mathworks.comReport Error Link
License: Shareware
File Size: 10.0 KB
Downloads: 127
User Rating:1 Stars  (1 rating)
Submit Rating:
Simplified Gradient Descent Optimization 1.0 Description
Description: Demonstration of the gradient descent optimization algorithm with a fixed step size.
This example was developed for use in teaching optimization in graduate engineering courses. This example demonstrates how the gradient descent method can be used to solve a simple unconstrained optimization problem. Taking large step sizes can lead to algorithm instability, but small step sizes result in low computational efficiency. A corresponding video can be found here:

<!--dp_youtube_begin:http://www.youtube.com/watch?v=cY1YGQQbrpQ--><object width="425" height="344"><param name="movie" value="http://www.youtube.com/v/cY1YGQQbrpQ&hl=ru&fs=1"></param><param name="wmode" value="transparent" /><param name="allowFullScreen" value="true"></param><param name="allowscriptaccess" value="always"></param><embed src="http://www.youtube.com/v/cY1YGQQbrpQ&hl=ru&fs=1" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" wmode="transparent" width="425" height="344"></embed></object><!--dp_youtube_end-->

License: Shareware

Related: sizes, instability, Large, taking, unconstrained, Problem, Small, result, Video, Found

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 10.0 KB

Downloads: 127



More Similar Code

This file visualises the working of gradient descent(optimisation algo) program on each iteration.
The file is created for visualisation purposes. The file works on function z=x.^2 + y.^2, however the function can be easily changed in the code.

Instruction for use::
Press enter repeatedly after running the code to see the effect of each iteration.



This folder contains a word document (optimization_problem_wth_solution.doc) that contains a description for an optimization problem along with its solution. The folder contains two m-script file that contain the solution for the...



Demonstration of finding the minimum of a noisy function using gradient-based optimization.
This model was developed for use in teaching optimization in graduate engineering courses. It demonstrates one approach for attempting to find the...



Permanent Magnet synchronous motor was modeled with the help of vector control technique and it was also made sensorless based on sliding model observer (SMO). controller parameters are given after tuning it with conventional gradient descent method.



The archive contains sugenotune.m which is used to tune Sugeno-type FIS outputs. The used methods are ldivide, Kalman filter, pseudoinversion, Kaczmarz algorithm, and gradient descent methods. Though the user can supply sugenotune.m with his own...



In the attached .zip folder you will find two primary functions titled 'GDSP' and 'ConditionMesh' as well as a number of other auxiliary routines. To compute conformal (i.e. angle preserving), as well as barycentric spherical parametrizations use...



Model of a simple trebuchet that predicts projectile range based on fulcrum position & launch angle.
This submission provides two main files: treb.m and plot_treb.m.

treb.m predicts the projectile range of a simple trebuchet...



Tutorial in Spanish about the Backpropagation algorithm. For academic and educational purposes only.
This tutorial provides a brief introduction to the multilayer neural network training algorithm Backpropagation low based on gradient descent...



The Fast Marching algorithm, introduced by Sethian (1996) is a numerical algorithm that is able to catch the viscosity solution of the Eikonal equation |grad(D)|=P. The level set {x F(x)=t} can be seen as a front advancing with speed P(x).
...



mplements the following optimization methods which do not use the gradient of the problem being optimized:

* Particle Swarm Optimization (see http://en.wikipedia.org/wiki/Particle_swarm_optimization)
* Differential Evolution (see...

User Review for Simplified Gradient Descent Optimization
- required fields
     

Please enter text on the image