# Software Listing of Author : "Gianluca Dorini"

Copernic Desktop Search is a popular free desktop search tool that searches Microsoft Word, Excel, and PowerPoint files, Acrobat PDFs, Outlook emails, and all popular music, picture and video formats. Copernic can also search your browser history, favourites, and contacts. Copernic Desktop Search can be accessed using COM interface, and the two functions published herein are an example on how to do so. The functions are: 1 - copernicdesktopsearch 2 - cdsgetfilepath copernicdesktopsearch submits search queries to Copernic Desktop Search and retrieves results of any type (files, emails, history). Each result is returned by means of several different fields, like for instance: 'displayname','extension','filename','location','offline','receivedmail','size','subject','date',... cdsgetfilepath exploits Copernic to search files in your...

• Platform: Matlab, Scripts

The bridge-crossing problem is a mathematical puzzle where a group of N persons have to cross a bridge at night. It is dark and they can only cross the bridge if they carry a lamp. Only one lamp is available and at most two persons can cross at the same time. It is not possible to cross from a side if the lamp is not on that side. The time of crossing is the time of the slowest person crossing. In this simple exercise, the bridge crossing problem is modelled as undiscounted Dynamic Programming problem with termination state. I know very little about this problem, and I made this script just for fun I guess other approaches exist which are more computationally efficient than this. Anyway, this one works and can it be used to solve problems up to 10~15 persons in reasonable time.

• Platform: Matlab, Scripts

isParetoSetMember returns the logical Pareto membership of a set of N points in K dimensions. It takes as input a N-by-N matrix and return a N-binary-array, denoting for each of the N points, whether it is Pareto (1) o not (0). The concept of Pareto dominance considered herein is the standard multiobjective minimization problem. The help containst three meaningful examples. The c coding (mex file) allows effective performances. For this reason, this function may be a useful tool to be incorporated into multi-objective optimization algorithms implementation.

• Platform: Matlab, Scripts

This function extracts a scalar/vector/matrix of random numbers with discrete Probability Distribution Function. The PDF is specified by the user as a input vector. This function is designed to be fast, and it is implemented within a .mex file Following Olivier B. comments (that I acknowledge for his comments), I performed cross-comparisons with randp. gDiscrPdfRnd is faster with a ratio that increases with the number of number, i.e. for about 3 times faster for 10^6 numbers to over 40 times faster for 10^7 numbers. Moreover, for large random arrays, randp seriously surcharges the RAM memory, whereas gDiscrPdfRnd limits thememory use to what is essential (tanksto the coding). In what follows the details of thecomparison are given. >> tic;R = randp([1 3 2],1000000,1);toc elapsed_time = 0.4840 >> tic;R = gDiscrPdfRnd([1 3...

• Platform: Matlab, Scripts

This practical function provides a tool for quickly including a random process within a Monte Carlo Simulation framework. The main input argument, is a string containing commands in Matlab syntax. Each execution of such string is an instance of a random process. The function expressionMCS samples an opened number of user-specified variables and expressions, by running the input string for N iterations. The function help is documented with four meaningful examples of various uses. The purpose of this function is to perform simple Monte Carlo testings for any kind of stochastic processes, without having to create a single .m file. Hence it is not ment to be practicle, rather than fast. I would like to acknowledge Dimitri Shvorob for his comments.

• Platform: Matlab, Scripts
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