What is the GM Growth Matrix?
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that is the simple way how the GM choose the posision their company from other compatitor. these growth matrix is similar with the BCG (Boston Consultan Group) matrix or other, where there is 4 quadrant.\nthe first quadrant is a star is where when your company have a high profit, high market share, and a high growth. in these situation you will have an option to buy other company share or doing something to make the market share increase. (usually the company is in the growth in life cylcle of company)\n\nthe second one is what they called the cash cow, is when your market share is stady, they don't increase and you have a lot of profit, because there is no cost for marketing or RnD. usually is these is the time when your company is mature. in these condition you can create something before your company slow down.\n\nthe third is the question mark, this is when your market share growth but your profit is steady, you will never know what happened in the future. in this time, your future company can be in the cash cow or in the star (the first and second quadrant) or even can bankrupt suddently.\n\nthe last one is the dog, it is where you market share is low and your profit is low, in these condition you can sell your company.\n\nfor further more, you can read a strategic management book
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The gross domestic product is a measure of everything that is produced. If it has grown, it indicates there was economic growth, that promotes more investments creating a virtuous circle.
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Use 'Gaussian elimination' to obtain a basis for the span of matrix columns or rows.\n\nhttp://en.wikipedia.org/wiki/Gaussian_elimination
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The RANK of matrix A, an m x n matrix, is the dimension of the row spaces or the column space. Or, the number of basic variables in Ax = 0. \n\nUsually written as rank A.\n\nAlso, for m x n matrix A, the row space and the column space have the same dimension, \n\nwritten dim R(A) = dim C(A).
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mass initial = Mi\nmass final = Mf\n\nMass growth = Mf - Mi\nPercent growth = Mf/Mi * 100
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A growth objective is a goal that a business (or similar entity) sets for itself.\n\nFor example, in 2002, the Chinese Communist Party set the goal of quadrupling the per capita income of 2000 by 2020, which implies a growth rate of 7.2 percent per annum in per capita income or close to 8.0 percent in GDP.\n\nThis is a financial growth objective that focuses on per capita income. A company might make a similar growth objective, like quadrupling its market share by 2020.
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A matrixed enviroment is a business enviroment where management is both vertical and horizontal.  What does that mean?  Lets say you worked in a marketing department, your manager is the guy above you in the marketind department.  If your company sells lima beans, cola, and cars, you'd also be managed by someone in the Lima ben, cola, and cars deaprtments as your efforts impacted their products.\n\nIf done properly it can be a very effective management style, done poorly and its a joke.  If you've ever seen the movie "Office Space" where the guy complains about having 11 bosses?  thats a Matrix enviroment.
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growth g= rb+(r-ki)(1-tc)bxB/S where r is roi, b is retention rate, ki cost of debt, tc is corporate tax rate, B/S is the capital sturcture. This shows that when r grows the growth also will grow.
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I can't give you a definiton because I really didn't understand anything I read about matrices!!!  But here are a few links that may be helpful to you.
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GMTUNERSOURCE!!! It's their new performance arm for GM sport compacts.
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do you mean GM? General Motors?\n\nyes it will, 600MB = 0.6GB and this fits easily into 74.5GB
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This normally means that you are going to be using Gaussian (or Gauss-Jordan) reduction, where ther eare three "moves" that are allowed.\n\n1) You can switch any two rows in the matrix.\n2) You can multiply any row in the matrix by a non-zero scalar.\n3) You can add a multiple of one row to another.\n\nUsing these three "moves," the goal is to reduce the matrix into a usable form (the echelon form, for example).
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elementary mode analysis Is also known as extreem path way analysis. It defines the limiting bondaries of the operation of a metabolic network. The normal approach is to use singular value decomposition to determine the constraints of a metabolic network.\n\nTo be honest its a bit over rated since all it does is define the feasable space of operation of a cell. You have to use other principles such as cyberbnetics (maximise growth rate and then use linear programming) or kinetic modeling to determine the expected operation of a cell. \n\nTry a search for Palson - but dont cite or talk to him because he is an arrogant self promoting w****r who doesnt cite competing groups work.
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Ya i dont think there be a 4 but maybe one before Matrix 1. Unless they need another "ONE" and they make a 4. That would be kinda cool. But i dont think they will do it.
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A- if you are asking what product of glycolysis diffuses into the matrix for the krebs cycle
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don't really know if this will help or not :                                                                                                    http://www.netdoctor.co.uk/ate/health/growth_metabolism/600231.shtml
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1. Take past data on each socio-economic parameter (like population/ literacy / per capita income / working pop etc- which ever relevant to ur industry).\n2. Take past data of ur industry growth.\n3. Run correlation of parameteres to ur industry growth - identify which ones are highly correlating. (>0.9).\n4. Get data of socio-economic parameter projected for next few years - from trusted expert sources\n4. Use regression analysis to project industry growth hence.\n\nAnd, thats the way its done.