Search
New Code
Rentonn - Airbnb clone 1.0
VisualNEO for Windows 18.08.31.0
SentiVeillance SDK Trial 7.0.191272
dbForge SQL Complete 6.1
Uber for E-Scooters 1.0
ODBC Driver for MySQL 2.4
dbForge Schema Compare for MySQL 4.4
dbForge Studio for MySQL 8.1
dbForge Query Builder for MySQL 4.4
dbForge Data Compare for MySQL 5.5
Aqua Data Studio 19.5
ConyEdit for Windows 1.1.1
GetOrgChart 2.5.3.0
Database Workbench Pro 5.6.0
.Net VCL for Delphi 1.0.0.0
Top Code
Paste phpSoftPro 1.4.1
Deals and Discounts Website Script 1.0.2
ADO.NET Provider for ExactTarget 1.0
Solid File System OS edition 5.1
Classified Ad Lister 1.0
Aglowsoft SQL Query Tools 8.2
ICPennyBid Penny Auction Script 4.0
PHP Review Script 1.0
ATN Resume Finder 2.0
ATN Site Builder 3.0
Availability Booking Calendar PHP 1.0
PHP GZ Blog Script 1.1
ATN Jobs Software 4.0
ATN Mall 2.0
WeBuilder 2015 13.3
Code Listing by Siamak Faridani

Code 1-3 of 3   






For more information refer to "Nonlinear Programming: Theory and Algorithms" by by Mokhtar S. Bazaraa , Hanif D. Sherali , C. M. Shetty

Here is the sample output
Steepest Accent Method
=============
Function = (3*x1+x2+6*x1*x2-2*(x1^2)+2*(x2^2))
Hessian......

[-4 6]
[ ]
[ 6 4]
Gradient......

[3 + 6 x2 - 4 x1]
[ ]
[1 + 6 x1 + 4 x2]
Eigen...



Replace your function in the code and the output will be similar to the following

Steepest Descent Method
=============
Function = -(3*x1+x2+6*x1*x2-2*(x1^2)+2*(x2^2))
Hessian......

[ 4 -6]
[ ]
...



We use the power of symbolic toolbox in order to find the optimal point in an arbitrary multivariate function
Change the following code based on your objective function and run the program

Function F in Symbolic Format