# Monte scripts download

[## monte script overview « 1 - 30 » of 48 scripts

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... This practical function provides ... random process within ... **Monte** Carlo Simulation framework.The main input argument, is ... commands in Matlab syntax. Each execution of such string is an instance of ... random process. The function expressionMCSsamples an opened number of user-specified variables and ...

... This simple code shows how the **Monte** Carlo Chronological method works. This example is intended to be ... for educational purpose, generating an artificial history data vectors of ... and exponentially distributed.You just need to enter the number of experiments to determine the simulation time-span ... recommended to be above 1000 experiments)and the MTTF and MTTR of the repairable component.As ...

... Open the file pricingapp. ... the code behind pricingapp.m which first calls two files:Modelthelossprocess.m: This file is responsible for the **Monte** Carlo ... This file adjusts the loss distribution according to the Excess of Loss contract. Meaning ... 1. figure1: This is ... graph of distribution of losses without any contract adjustments2. figure2 ...

... This demo shows how to use MATLAB and the Statistics ... and Optimization Toolboxes to improve the design of an automobile ... Assessing the performance of the initial design- Designing experiments to investigate factors that influence performance ... Selecting factor settings that optimize performance- Running **Monte** Carlo simulations to forecast performance variability- Controlling the ...

... The GNU Scientific Library ... numerical library for ... programmers. It is free software under the GNU General Public License. The library provides ... wide range of mathematical routines such as random number generators, special functions and least-squares fitting. There ...

... software package for linkage disequilibrium mapping. It is based on ... Bayesian Markov-chain **Monte** Carlo ... method for fine-scale linkage-disequilibrium gene mapping using high-density marker maps. ...

... Applying the inverse transform method to the normal distribution entails evaluation ... of the inverse normal. This is the Beasley-Springer-Moro algorithm for approximating ... the inverse normal. Input ... x, an approximation for the inverse normal at uReference ...

... This demo shows the BER performance of linear, decision feedback ... static channel with ... The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel ... estimation algorithm. The BER results are determined through **Monte** Carlo simulation. The demo shows how to use ...

... algorithm used to sample from arbitrary probability density functions ... Suppose you want to simulate samples from ... random variable which can be described by an arbitrary PDF, i.e., any function which integrates to ... given interval. This algorithm will do just that, as illustrated by the ...

... Ghemical is computational chemistry package. Ghemical is implemented using the ... graphical user interface which utilizes the OpenGL graphics interface and the multiplatform widget GTK library. Here ... Ab Initio methods provided by MPQC. ... Semi-Empirical methods provided by MOPAC7. ...

... ALAMOUTI performs **Monte-Carlo** simulation and estimates Bit Error Rate ... one receive element) the ALAMOUTI is transformed to the order ... which can be controlled by user.The simulation parameters are entered using the built graphic user interface ... 1. Number of pair symbols from both Tx elements to be transmitted ...

... Ten demos, most of which are shown at The MathWork ... financial modeling seminars. All of the demos are in their own folders, which contain the ... ReadMe file that explains what the demos do and gives directions on how to run ... it. The ReadMe also mentions which Toolboxes are needed for each demo. To run all ...

... The Find Delay block accepts two signals of like type ... complexity, frame size, dimensionality, sample time, number of samples per symbol, etc. ... and computes the delay between the two signals, in samples. The Align Signals block computes delay ... and time aligns the two signals.The blocks are useful in Comms simulations when filters, encoders, ...

... The QuantLib project is aimed at providing ... comprehensive software framework for quantitative finance. QuantLib is ... open-source library for modeling, trading, and risk management in real-life. QuantLib is written in ... Perl, Python, GNU R, Ruby, and Scheme. The QuantLibAddin/QuantLibXL project uses ObjectHandler to export an object-oriented QuantLib ...

... These routines support the book "Risk and Asset Allocation ... A. Meucci. The most recent version of these routines can be found at www.symmys.comThe routines include many ... shrinkage estimators: Stein and Ledoit-Wolf, Bayesian classical equivalent ...

... cross-platform software package for econometric analysis, written in the ... programming language. It is is free, open-source software. You may ... or modify it under the terms of the GNU General Public License ... wide variety of least-squares and maximum-likelihood estimators, including systems estimators ...

... Pricing Derivatives Securities using MATLAB ... portfolio of vanilla options using Black-Scholes, ... Binomial Tree and **Monte** Carlo simulation. ... Pricing exotic options using the implied trinomial tree ...

... Function FAURE generates elements 0,..,k of ... d-dimensional, base-b Faure sequence, an ingredient of some ... quasi **Monte** Carlo ... help header for details. Demands ... MATLAB Release: R14SP1 ...

... perform **Monte** Carlo stochastic simulations, ... Bayesian inference through Markov Chain **Monte** Carlo simulations. ...

... GNU Archimedes is the GNU package for the design and ... simulation of submicron semiconductor devices. It is ... 2D Fast **Monte** Carlo simulator which can take into account all ... powerfull tool for the simulation of quite general semiconductor devices. In the present release, GNU Archimedes is ...

... collection of methods for the handling of imprecise probabilities.Contains ... by different sampling strategies- Propagation methods using deterministic and **Monte-Carlo** sampling. Supports Optimization Toolbox ... weighted mixing- Uncertainty measures- Sensitivity analysis- Plotting and size-reduction techniquesFor documentation, type ...

... numeric integration of one-variable functions.It provides several methods including: Simpson ... s, **Monte** Carlo sampling, Gauss', Adaptive Quadrature, and Romberg ...

**Scripting monte programming** is written in computer programming languages that is typically interpreted and can be typed directly from a keyboard. Monte scripts are often distinguished from executable files. This monte scripts are safe to use virus free and spyware free.