TRIDIAGONAL MATRIX ALGORITHM #criptocurrency #steem #steempower #youvote #desingmatrix
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An algorithm according to its meaning word from ancient Greek and Roman Latin dixit algorithmus is a prescribed set of well ordered and well-defined finite instructions or guidelines. That allow us to carry out an activity through a series of steps that do not generate doubts to who can perform this activity with a higher purpose that is to obtain solutions.
Therefore Algortmia is the science that is responsible for evaluating and carefully studying the algorithms.
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There has never been any definitive consensus regarding the formal definition of an algorithm.
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Many students of the exact sciences will point them out as a number of many lists of instructions to solve a calculation or an abstract problem. This means that for a finite number of steps or instructions that become the data of a problem or a good input Algorithm can have the possibilities of being a solution or an authentic exit.
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Algorithms are used at all times in life 1 2 3 4 5 6 7 8 9 0 but it should be noted that some algorithms do not necessarily have to end or solve a particular problem.
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Therefore without going into many details an algorithm is anything that works step by step.
Where each safe step can be described unambiguously and without reference to a computer with a particular language.
It also has a fixed limit as to the amount of data that can be read or written in a single step.
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There are many ways to be expressed algorithms that include of course natural language or languages, pseudo codes, flow diagrams and programming languages 1010 among others. However, it should be noted that descriptions in a natural language tend to be ambiguous, extensive and in constant evolution.
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This leads us, therefore, to ask with great interest what the TRIDIAGONAL MATRIX are.
And among a light rain that evolves into a strong storm of ideas is nothing more so simple than a very powerful efficient algorithm of the linear algebra known in the algorithm as the Thomas equation.
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This type of MATRIX usually emerge when proposing discretizations by methods of finite differences, finite volumes or finite elements of one dimensional problems.
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First we modify the coefficients in the action of the price of the asset, then the new coefficients are marked with the superindice, therefore we will also evaluate carefully what we will know as a forward sweep to obtain the solution of the problem. without any inconvenience by backward substitution or how better is the market price.
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There are variants that particularly in periodical contour conditions, these beings try to solve a disturbed form of the main tridiagonal matrix with geometrical figures or forecast charts with head shapes with shoulders or necks with double or triple roof shapes.
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Very simple, however, requires certain characteristics of an efficient management as everything to avoid the additional operations of a deletion by a portfolio at risk and without a correct address as to when to invest time in the MATRIX and of course to be able to continue using the algorithm of Thomas.
Much will be required to solve a non cyclical version of the system in advance for the correct entry into the market with a correction vector that requires combining the results or your votes for me criptocurrency post.
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Therefore, all this can be done efficiently at once given that both problems suppose that they share the forward sweep of the TRIANGULAR MATRIX
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In many situations of course the whole system of equations can be tridiagonal by blocks as well as the size of our galaxy or the universe if you prefer so to speak with an endless number of submatrices as elements forming three diagonals in succession. This type of market price action evaluations usually occur when one wants to extend discretization methods to two dimensions or times and can also be seen as a pentadiagonal Matrix or the way in which the technology advances according to the variants that this algorithm very particular can be very useful to filter endless speculations in the market and draw a bitacora in time much more adequate to your expectations in the analysis.