Freeware Downloads for "Algorithm Find Peaks"

Related: Algorithm Find Duplicate Numbers - Algorithm Find Duplicates Tree - Algorithm Find Picture - Algorithm Find Similar Images - Algorithm Find Similar Images Web

A tutorial, using NeHe's code as a base, to trace a ray, perform a shortest path algorithm, find points relative to the screen, and other things. This will eventually become a rpg tactics game with the use of OpenGL.
Tactical Tutorial with OpenGL License - Common Public License 1.0.

How do you find the shortest path from one point to another in a computationally efficient way? The A* algorithm provides one implementation where the distance to the goal is considered as a heuristic in addition to local weightings, and the best path is recovered without combinatorial complexity..

  • Platform: Matlab, Scripts
  • Publisher: Bob Sturm
  • Date: 21-01-2013
  • Size: 20 KB

This submission contains the demo files used in the Global Optimization with MATLAB webinar: http://www.mathworks.com/wbnr43346 MultStart Demos * Peaks Minimization * Nonlinear Curve Fitting GlobalSearch Demos * Peaks Minimization * Volumentric Efficiency Maximization Simulated Annealing Demos * Peaks Minimization * Eight Queens Problem * Galactic Traveling Salesman Pattern Search Demos * Peaks Minimization * Mount Washington Demo Genetic Algorithm Demos * Peaks Minmiziation * Rastrigins Function Minimization * Partical Swarm Example * Multiobjective Genetic Algorithm Comparison of Solvers on Rastrigins Function * Comparison of Multiple Solvers on Rastrings.

  • Platform: Matlab, Scripts
  • Publisher: Stuart Kozola
  • Date: 04-06-2013
  • Size: 1219 KB

genetic algorithm (or GA) is a search technique used in computing to find true or approximate solutions to optimization and search problems for function of 2 variable.

In this file you can find a simple but very effective algorithm for Nearest Neighbour Search which I megalomaniacly called the GLTree. You want more? go to the Professional version of GLTree It has been designed for uniformly random data, where is the fastest I ever used, but works fine even on sparse ones. If points are too sparse, for example logspace data, search is still performed correctly but speed can degenerate to a brute search algorithm. In these cases a different data structure is needed but for lack of time I haven't still coded.

  • Platform: Matlab, Scripts
  • Publisher: Luigi Giaccari
  • Date: 15-02-2013
  • Size: 10 KB

this file you can find a simple but very effective algorithm for Nearest Neighbour Search which I megalomaniacly called the GLTree. You want more? go to the Professional version of GLTree It has been designed for uniformly random data, where is the fastest I ever used, but works fine even on sparse ones. If points are too sparse, for example logspace data, search is still performed correctly but speed can degenerate to a brute search algorithm. In these cases a different data structure is needed but for lack of time I haven't still coded.

  • Platform: Matlab, Scripts
  • Publisher: Luigi Giaccari
  • Date: 17-02-2013
  • Size: 10 KB

This algorithm allows you to find the minimum weight matching of a bipartite graph. The graph can be of arbitrary size and connectedness. The edge weights are captured by a MxN weight matrix where an infinite(Inf) weight designates that that pair of vertices given by that position are not connected..

  • Platform: Matlab, Scripts
  • Publisher: Alexander Melin
  • Date: 23-03-2013
  • Size: 10 KB

This is an application of the Greedy Algorithm and the Local Search for finding a solution for the SC Distribution Network problem. We dealt with one level SC composed of a set of factories and a set of Sales Points, each sales point has a demand at a certain time, each factory has a production limit. Furthermore, we assumed lost sales penalty (if a certain demand is not satisfied). The goal was to find the matrix of amount of products shipped from any factory to any sales point to minimize total costs.

  • Platform: Matlab, Scripts
  • Publisher: Ramiz
  • Date: 14-05-2013
  • Size: 584 KB

Java Minimum Cost Finder is designed as an accessible, handy and Open Source algorithm that can help you find the lowest cost.

Java Minimum Cost Finder was developed in the Java programming language and can run on multiple platforms.


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Demonstrates the PRIM Algorithm to find the minimum Spanning Tree for a Network. The Prim Algorithm application was designed to be a simple tool that will demonstrate the PRIM Algorithm to find the minimum Spanning Tree for a Network.. MrT..

  • Platform: WinOther
  • Publisher: tonytooth.co.uk
  • Date: 12-07-2009
  • Size: 84 KB
  • RElim
  • License: Freeware
  • Rating

A program to find frequent item sets (also closed and maximal) with the relim algorithm (recursive elimination), which is inspired by the FP-growth algorithm, but does its work without prefix trees or any other complicated data structures. The main strength of this algorithm is not its speed (although it is not slow, but even outperforms apriori and eclat on some data sets), but the simplicity of its structure. Basically all the work is done in one recursive function of fairly few lines of code. Papers that describes the algorithm underlying this program (that is, the program relim, see above): Keeping Things Simple: Finding Frequent Item Sets by Recursive Elimination Christian Borgelt.

It is a Matlab function that determines the zero of a regular real function. zero=newton_raphson(function,error) The function has two input variable: 'function' is a string that represents the function of which find the relative zero. It must be expressed with the real variable 'x'. 'error' is the tolerance for the algorithm's arrest. The function returns the zero point of the real function. It plots, in a figure, the function and the tangents used for the search of the zero..

  • Platform: Matlab, Scripts
  • Publisher: Andrea Cirillo
  • Date: 03-03-2013
  • Size: 10 KB

These files are the MATLAB code for "Imperialist Competitive Algorithm (ICA)" which in some papers is referred by "Colonial Competitive Algorithm CCA". Evolutionary optimization methods, inspired from natural processes, have shown good performance in solving complex optimization problems. For example, genetic algorithms (inspired from biological evolution of human and other species), ant colony optimization (based on ants effort to find optimal path to the food source) and simulated annealing (based on real annealing process in which a substance is heated over its melting point and then cooled to reach to a crystalline lattice) are widely used to solve engineering optimization problems.

SpeedyGA is a vectorized implementation of a genetic algorithm in the Matlab programming language. Without bells and whistles, it faithfully implements the specification for a Simple GA given on pgs 10, 11 of M. Mitchell's GA book. See comments in code for details. This script has played a crucial part in the development of a new, unified explanation for the adaptive capacity of genetic algorithms (including ones with uniform crossover) called the Generative Fixation Hypothesis. See http://cs.brandeis.

  • Platform: Matlab, Scripts
  • Publisher: Keki Burjorjee
  • Date: 18-03-2013
  • Size: 10 KB

This program demonstrates the optimization by genetic algorithm to find the global maximum height for thee dimensional multiple peak surface. The GA operates by real coding method with elitism.

  • Platform: Matlab, Scripts
  • Publisher: Ali Talib Oudah
  • Date: 14-04-2013
  • Size: 10 KB

This function can find the maximum of constrained and unconstrained problems with using of genetic algorithm (real coding). Also the performance of GA is plotted vs. the number of generations (for 2D problems)..

  • Platform: Matlab, Scripts
  • Publisher: Javad Ivakpour
  • Date: 10-05-2013
  • Size: 10 KB

The example is on developing an algorithm for detecting an object (green ball) in MATLAB. The demo highlights * image import (and video import) * image visualization * simple image processing * automatic report generation * GUI building * deploying stand alone application You can find the recording of the Webinar here: http://www.mathworks.com/wbnr55833.

  • Platform: Matlab, Scripts
  • Publisher: Jiro Doke
  • Date: 08-03-2013
  • Size: 328 KB

Open Genetic Algorithm Toolbox was developed as an accessible MATLAB tool that allows you to run a Genetic Algorithms on any problem you want to model.

Genetic Algorithms are search heuristics developed to find solutions to any problem through bio-inspired heuristics.

Now, you can use this accessible toolbox to quickly find solutions to your problems.


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In the day-to-day running of your computer you tend to create lots of files. These files are often copies of other files, thus leading to potentially wasted space on your system. These files are easy to create and unfortunately often very difficult to find and remove. DupeDestroyer uses an advance algorithm to find, and with your approval, eradicate these unwanted files.

Features at a glance

Intuitive & Effective user interface.

Get the job done without learning a complex interface.

  • Platform: Windows
  • Publisher: Fungusware
  • Date:
  • Size: 1617 KB

A program to find frequent item sets (also closed and maximal) with the relim algorithm (recursive elimination), which is inspired by the FP-growth algorithm, but does its work without prefix trees or any other complicated data structures. The main strength of this algorithm is not its speed (although it is not slow, but even outperforms apriori and eclat on some data sets), but the simplicity of its structure. Basically all the work is done in one recursive function of fairly few lines of code..

  • Platform: WinOther
  • Publisher: borgelt.net
  • Date:
  • Size: 194 KB

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