what is the meaning of optimization?
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The procedure or procedures used to make a system or design as effective or functional as possible, especially the mathematical techniques involved.\n\nIn the context of technical analysis, it is the process of adjusting one's trading system in an attempt to make it more effective. These adjustments include changing the number of periods used in moving averages, changing the number of indicators used, or simply taking away what doesn't work. \n\nn : the act of rendering optimal; "the simultaneous optimization of growth and profitability"; "in an optimization problem we seek values of the variables that lead to an optimal value of the function that is to be optimized"; "to promote the optimization and diversification of agricultural products"\n\nIn mathematics, optimization is the discipline which is concerned with finding the maxima and minima of functions, possibly subject to constraints. An example of an optimization problem is the following: maximize the profit of a manufacturing operation while ensuring that none of the resources exceed certain limits and also satisfying as much of the demand faced as possible. Optimization has many practical applications in logistics and design problems.\n\n\nIn computer science, optimization is the process of improving a system in certain ways to reduce the effective runtime, the bandwidth or memory requirements. Despite its name, optimization does not necessarily mean finding the optimum solution to a problem. Often this is not possible, and heuristic algorithms must be used instead.
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f(x,y)= (1-x)^2 + 105 (y- x^2)^2\n\nIt's often used to test out various nonlinear optimization algorithms.
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A technique for designing and performing experiments to investigate processes where the output depends on many factors (variables; inputs) without having to tediously and uneconomically run the process using all possible combinations of values of those variables. By systematically choosing certain combinations of variables it is possible to separate their individual effects. \n\nA special variant of Design of Experiments (DOE) that distinguishes itself from classic DOE in the focus on optimizing design parameters to minimize variation BEFORE optimizing design to hit mean target values for output parameters.
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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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Formula for what?\nIn other words what is the subject or what is the problem?\nbelow are a few possibilities.
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Metrics are a system of parameters or ways of quantitative and periodic assessment of a process that is to be measured, along with the procedures to carry out such measurement and the procedures for the interpretation of the assessment in the light of previous or comparable assessments. Metrics are usually specialized by the subject area, in which case they are valid only within a certain domain and cannot be directly benchmarked or interpreted outside it.
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Solve meaning???\n\nploting?\nfinding the focus etc.?\n\nbe specific
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Hi..\nCheck out the following page...this might provide your some insight on Query Optimizations...\nhttp://www.sqlsummit.com/Optimization.htm
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Calculus tells us a lot about optimizing functions. However, it isn't needed here. No matter what planet you're on, the height-vs-time graph of a free-falling object is always a parabola.\n\nThere are a lot of facinating facts about parabolas and conic sections in general, but let's get to answering the questions that you asked. ;)\n\nThe maximum or minimum of a parabola occurs at its vertex. The value of the independent variable ( t ) at the vertex of a parabola is -B/2A. Therefore, t = -16/2(-4) = -16/-8 = 2.\n\nA) The bullet reaches its highest point two seconds after it is fired.\n\nMoving on, the height of the bullet it determined by the formula itself: h = -4t^2 + 16t + 5. If the bullet is on the ground, then h = 0. So:\n\n-4t^2 + 16t + 5 = 0\n4t^2 - 16t - 5 = 0 [Multiply by -1 to work with leading positive.]\nt = [16 +/- sqrt(16^2 - 4(4)(-5))]/(2*4) [Quadratic Formula]\nt = [16 +/- sqrt(336)]/8\n\nThe negative root does no good, as the bullet cannot land before it was fired. But the positive root show us that:\n\nB) The bullet hits the ground approximately 4.3 seconds after is was fired.\n\nLast is actually the easiest part, although most students miss it. You know the bullet reaches its highest point when t = 2 from part A. What will be its height at that point? You already have the equation. h = -4t^2 + 16t + 5.\n\nh = -4(2)^2 + 16(2) + 5 = 21\n\nC) The bullet will reach a height of 21 feet.\n\nSo, to sum up:\n\nA) The bullet reaches its highest point two seconds after it is fired.\nB) The bullet hits the ground approximately 4.3 seconds after is was fired.\nC) The bullet will reach a height of 21 feet.\n\nI hope this helps! =]
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It's a method of solving mechanical problems. Basically it's determined by L = T - V where T is the kinetic energy and V the potential. Finding T and V really depends on the problem. You use generalized coordinates, normally denoted by q, as opposed to x, y, z or whatever. Once you get the hang of it it can be extremely useful to solve seemingly difficult mechanical problems (like a pendulum on a pendulum for example.) Look it up on Wikipedia for more information.
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optimization doesn't need a license key ?
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The greatest mystery here is "WHAT IS THE PROBLEM TO BE SOLVED?"\n\nIf a knowledge of the 'knapsack' problem is required, please copy it here for all to ponder............
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I assume you mean, Big-O notation.  It is a way to describe the execution time of an algorithm, given the problem size n, which is usually the number of items.\n\nBig-O basically represents worst-case.  Big-Omega is best-case. Big-Theta is average.\n\nAs a few examples:\n\nBig-O of a nested for loop, is O(n^2) since for each n elements in the outer loop, n elements in the inner loop must be executed.\n\nBig-O of a binary search is O( log_2(n) ).
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It goes little something like this:\n\nEfficacy - Power or capacity to produce a desired effect; effectiveness.
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SEO is an abbreviation for Search Engine Optimization. As the name suggest it is a process of optimizing the no. of visitors at a particular website by placing the website link at higher order or in simple terms at the first page preferable at the beginning. Because the internet users are usually averse to go to the next pages of a search engine therefore the website higher in order of a search engine it will receive more visitors than those who are down in order. SEO helps to ensure that a site is accessible to a search engine and improves the chances that the site will be found by the search engine
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An algorithm is a way of solving a problem, kind of like an equation or a formula. It would provide a framework for plugging in variables and give you an answer. \nThe traveling salesman problem is scenario in which a salesman has to visit a number of cities all once. He wants to do this in such a way that he minimizes the total distance traveled. At a first glance, it seems like an easy problem - and it is when there are only a few cities. But it quickly gets so complicated that even the best computers can't come up with the shortest path. In relation to an algorithm, it would be very beneficial to find one equation that always shows us the shortest distance. If you can find it, there's a $1 million dollar prize... Hope this helps! Also, check out the website I've included as a source for more info.
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You should run it through "explain plan" and depend on the output decide how to optimize your query