Freeware Listing: Objective

REFERENCES Barnes, S. L. (1994) Applications of the Barnes objective analysis scheme. Part I: effects of undersampling, wave position, and station randomness. J. of Atmos. and Oceanic Tech., 11, 1433-1448. Daley, R. (1991) Atmospheric data analysis, Cambridge Press, New York. Section 3.6..

  • Platform: Matlab, Scripts

Objective Database Abstraction Layer, or ODAL, for short , is designed as an Open Source high-performance multi-purpose database manipulation framework.

The main goal of the project is to create a maintainable, flexible, fast and scalable database abstraction layer with a convenient and simple API.

These goals are achieved by minimizing manual work required to create and maintain the database access layer and consistently applying “separation of concerns” principle. ODAL generates code whenever it is possible out of the database metadata because in the vast majority of projects the database is a given and invariable part created with a different set of tools.

  • Platform: WinOther

A small Objective-C library which provides a SAX-like object-oriented interface to the Expat XML parser library..

  • Platform: Linux, Mac OS X, WinOther

A Haskell to Objective-C binding. Allows access to Apple's Cocoa API from the non-strict functional programming language Haskell..

  • Platform: Linux, Mac OS X, Unix

Objective Lua is a dialect of Lua extended with syntax borrowed from Objective C to add object orientation support..

  • Platform: Linux, Mac OS X, WinOther

Objective Systems Open H.323 for C is a simple H.323 protocol stack. It contains signaling logic to allow H.323 channels to be created and terminated. The code is developed in C to allow easy portability to different platform types (including embedde.

  • Platform: Linux, Unix, WinOther

The Objective-C Game Library(ObjCGL) is a set of Objective-C classes that use SDL to provide a way for programmers to implement a basic set of components into their games quickly and easily..

  • Platform: Mac OS X

NSGA-II is a very famous multi-objective optimization algorithm. I submitted an example previously and wanted to make this submission useful to others by creating it as a function. Even though this function is very specific to benchmark problems, with a little bit more modification this can be adopted for any multi-objective optimization. The function is nsga_2(pop,gen). The input arguments for the function are population size and number of generations. For customization purposes the user is free to modify the objective function (function of several decision variables) by modifying an m file (evaluate_objective.

  • Platform: Matlab, Scripts

It's a function that finds the minimum value of a two variables objective function with a deterministic zero order algorithm: simplex method. The input variables are: -fun: inline function of the objective function -init_point: initial point for the simplex method -step_size: initial dimension of the simplex toll: tolerance for the stop criterion on the simplex dimension -numMaxIter: stop criterion on the maximum number of iterations The output variables are: -valFunc: the minumum value of the objective function -var_min: the minimum point -iter: the number of iteration made %%%%%%%% IMPORTANT %%%%%%%%%%% To run correctly the Matlab function, you must run first a contour plot of the objective function.

  • Platform: Matlab, Scripts

Conventional optimization algorithms using linear and non-linear programming sometimes have difficulty in finding the global optima or in case of multi-objective optimization, the pareto front. A lot of research has now been directed towards evolutionary algorithms (genetic algorithm, particle swarm optimization etc) to solve multi objective optimization problems. Here in this example a famous evolutionary algorithm, NSGA-II is used to solve two multi-objective optimization problems. Both problems have a continuous decision variable space while the objective space may or may not be continuous.

  • Platform: Matlab, Scripts

Identifying the Pareto Front from a set of points in a multi-objective space is the most important and also the most time-consuming task in multi-objective optimization. Usually, this is done through so called nondominated sorting. In this package, two efficient algorithms are provided to find the Pareto Front from a large set of multi-objective points. The basic algorithm is implemented as an mex function. The algorithm considers the logical relationship between dominated and nondominated points to avoid unnecessary comparisons as much as possible so that the overall operations reduced from n x n x m for an n x m problem to r x n x m, where r is the size of the final Pareto Front.

  • Publisher: Yi Cao
  • Date: 04-02-2013
  • Size: 10 KB
  • Platform: Matlab, Scripts

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 a='(x1^2+x2-11)^2+(x1+x2^2-7)^2'; The code will iterate and converge to x and y of the optimal point.

  • Platform: Matlab, Scripts

In order to optimize any MATLAB function, there are two options: 1) rewrite the function to take only 1 array of inputs, reading all others from a file, perhaps, or from a global variable (undesirable), or 2) write an interface layer that handles this. This function provides an interface layer that is completely general, and allows any MATLAB function to be used in an optimization loop. To do this, the first call to this function initializes it, storing the data necessary to evaluate and calculate the objective function for optimization. Then, this function 'objective_function.m' is called by an optimization routine such as fminsearch.

  • Platform: Matlab, Scripts

CONDOR is a new optimizer whose aim is to find the minimum x* of an objective function F(x) (x is a vector whose dimension is between 1 and 150) using the least number of function evaluations of F(x). It is assumed that the dominant computing cost of the optimization process is the time needed to evaluate the objective function F(x) (One evaluation can range from 1 seconds to 2 days)..

  • Platform: Matlab, Scripts

Common Data Security Architecture Objective-C Wrapper Framework - Digest: MD5/SHA-1 - Encryption/Decryption: Symmetric encryption - Utils: Base64 encoding/decoding
CDSA/CSSM Objective-c encryption Wrapper License - GNU General Public License (GPL).

  • Platform: Mac OS X

Objective Systems Open H.323 for C is a simple H.323 protocol stack. It contains signaling logic to allow H.323 channels to be created and terminated. The code is developed in C to allow easy portability to different platform types (including embedde
Objective Open H.323 for C License - GNU General Public License (GPL).

  • Publisher: Ooh323c
  • Date:
  • Size: 5276 KB
  • Platform: Linux, Unix, WinOther

This project is going to be an IDE for Objective Caml with syntax-highlighting.
Sahara - IDE for Objective CaMl License - GNU General Public License (GPL).

  • Platform: WinOther

Objective-C bindings for GTK+ library
Objective-C GTK License - GNU Library or Lesser General Public License version 2.0 (LGPLv2).

  • Platform: WinOther

Saddle is an Objective-C library or framework that is designed to link to the SDL library and provide its functions in a more object oriented way along with other useful functions for graphics intense applications.
Saddle Objective-C Framework License - BSD License; GNU Library or Lesser General Public License (LGPL).

  • Platform: WinOther

Objective C Intrinsics (ObjCI for short) is a collection of classes that supports development of small projects in Objective C without depending on the Foundation or similar libraries.
Objective C Intrinsics License - GNU Library or Lesser General Public License (LGPL); MIT License.

  • Platform: WinOther

Objective: Freeware | All

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