# Freelancer gauss and r language jobs

...forward kinematic models for two robots A **and** B for a small robot we are building.
Description:
Consider the two robots with fixed standard wheels attached. Determine the forward kinematic model for each robot. This requires determining the following:
1. The relationship between the roll speeds of the wheels **and** the robot’s velocity in the robot reference

Draw all flowgraphs (for every module) **and** calculate the cyclomatic complexity, v(G), essential complexity, ev(G), module design complexity, iv(G), system design complexity, S0, **and** integration complexity, S1 for the software code below.
LABELS PROGRAM LISTING
PROGRAM gelmn
c **Gauss** elimination method to solve a linear system of eqns
dimension

LA IDEA ES armar un pelsador pemf de bob beck la informacion se puede encontrar en la web, pero es muy variada y para poder encontrar lo necesario se necesitan conocimientos de electronica. Se tiene que armar una lista de los materiales, la bobina la envio yo.

...lists of random Doubles of length n+1 that represents a linear system Ax = b, where A is an n×n matrix **and** b is an n×1 vector. (I already built the code by using Python **Language**, but I could not figure out how I can call this code as a data file **and** make it as an input in the Haskell code.(Could you please explain that?)
2- Run your data generation

Hello.
I would like to sub-out an Arduino wiring diagram, part list **and** code to drive a real-time wireless data collector for barometric pressure, **gauss** measurements, **and** video/pictures. I am measuring the performance of multiple "bladders" that I will be placing inside a small aluminum pressure vessel. I need an Arduino to be inside the vessel

Create two MatLab codes, one that uses **Gauss** elimination **and** one using LU Decomposition method to solve for given linear algebraic equations. See attached for explicit instructions

I have gathered data to perform a regression analysis, but I do not manage to get results which meet **Gauss**-Markov theorem. As the objective is to make a forecast, all the assumptions must be met (Normality, Homoskedacity,...).
The data:
Daily sales in passenger transportation over a period of approx. three years; there is seasonality, there are extreme

I had a code for Aptech **Gauss** **and** I converted It to Matlab **and** it's optimized to run on CUDA.
However the Code really isn't perfect, it has some errors **and** run terribly slowly.
I need "EXPERT" to check the two codes **and** find out what is wrong..
Please EXPERT.

I had a code for Aptech **Gauss** **and** I converted It to Matlab **and** it's optimized to run on CUDA.
However the Code really isn't perfect, it has some errors **and** run terribly slowly.
I need "EXPERT" to check the two codes **and** find out what is wrong..
Please EXPERT.

I have a code written in Aptech **Gauss** program that I want to convert into Matlab **and** I want the code to run under CUDA power in Matlab.

I have a code written in Aptech **Gauss** program that I want to convert into Matlab **and** I want the code to run under CUDA power in Matlab.

I have a code written in Aptech **Gauss** program that I want to convert into Matlab **and** I want the code to run under CUDA power in Matlab.

I have a **Gauss** code which I need to convert into Matlab **and** I want the Code to have option to run under CPU or the power of CUDA.
The code is about 22kb **and** I will use Pascal architecture cards so make sure we have Matlab Cuda 8.0 compatibility.

...engineering) by write a program in MATLAB using two linear methods (one Exact **and** one Iterative method) from the following linear methods
1. Exact methods
a. **Gauss**-Jordan Elimination Method
b. Matrix Inverse Method
c. Gaussian Elimination Method
2. Iterative (Numerical) Methods
a. **Gauss**-Seidel Method
b. Successive Relaxation (SR) Method
The program must

in matlab we should develop a code for
a)smoothing:best parameters implement savitzky golay function
b)Back ground correction-polynomial constant fuction
c) model...develop a code for
a)smoothing:best parameters implement savitzky golay function
b)Back ground correction-polynomial constant fuction
c) model spectral lines as profile(lorenz,**gauss**)

Add mod(2) XOR **Gauss**-Jordon solver to an existing boolean calaculator tool
1) tool currently acts on a single statement, add multiple statement input to **language**, parse tree, **and** symbol table
2) extract parse tree into a mod(2) linear algebra arrays **and** solve with **Gauss**-Jordon
3) Output all solved terms as a single product term
4) Output

I have a code written in **Gauss** that I need converted to Matlab **and** to work with CUDA.
I mean I want the code to run under the power of CUDA cores .
A direct conversion is fine, as long as the Matlab code produces the same output as the **Gauss** code.
The code is 26KB

I have a problem in optimal control system the problem should be solved by Matlab toolbox called"GPOPS", **Gauss** Pseudospectral Optimization Software, is a MATLAB program for solving non-sequential multiple-phase optimal control problem.

I have a problem in optimal control system the problem should be solved by Matlab toolbox called"GPOPS", **Gauss** Pseudospectral Optimization Software, is a MATLAB program for solving non-sequential multiple-phase optimal control problem.

I have a prob in optimal control system the problem should be solved by Matlab toolbox called"GPOPS", **Gauss** Pseudospectral Optimization Software, is a MATLAB program for solving non-sequential multiple-phase optimal control problem.