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The costate variables () can be interpreted as Lagrange multipliers associated with the state equations. The state equations represent constraints of the minimization problem, and the costate variables represent the marginal cost of violating those constraints; in economic terms the costate variables are the shadow prices.
C 0 t analysis, a technique based on the principles of DNA reassociation kinetics, is a biochemical technique that measures how much repetitive DNA is in a DNA sample such as a genome. [1] It is used to study genome structure and organization and has also been used to simplify the sequencing of genomes that contain large amounts of repetitive ...
Microsoft Math contains features that are designed to assist in solving mathematics, science, and tech-related problems, as well as to educate the user. The application features such tools as a graphing calculator and a unit converter. It also includes a triangle solver and an equation solver that provides step-by-step solutions to each problem.
One particular solution is x = 0, y = 0, z = 0. Two other solutions are x = 3, y = 6, z = 1, and x = 8, y = 9, z = 2. There is a unique plane in three-dimensional space which passes through the three points with these coordinates, and this plane is the set of all points whose coordinates are solutions of the equation.
Since all the inequalities are in the same form (all less-than or all greater-than), we can examine the coefficient signs for each variable. Eliminating x would yield 2*2 = 4 inequalities on the remaining variables, and so would eliminating y. Eliminating z would yield only 3*1 = 3 inequalities so we use that instead.
The fact that π cot(πz) has simple poles with residue 1 at each integer can be used to compute the sum = (). Consider, for example, f(z) = z −2. Let Γ N be the rectangle that is the boundary of [−N − 1 / 2 , N + 1 / 2 ] 2 with positive orientation, with an integer N. By the residue formula,
In linear programming, reduced cost, or opportunity cost, is the amount by which an objective function coefficient would have to improve (so increase for maximization problem, decrease for minimization problem) before it would be possible for a corresponding variable to assume a positive value in the optimal solution.
cot – cotangent function. (Also written as ctg.) coth – hyperbolic cotangent function. cov – covariance of a pair of random variables. cover – coversine function. (Also written as covers, cvs, cosiv.) covercos – covercosine function. (Also written as cvc.) covers – coversine function. (Also written as cover, cvs, cosiv.) crd ...