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Calculus Review
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Slope Slope = rise/run = Dy/Dx = (y2 – y1)/(x2 – x1)
Order of points 1 and 2 not critical Points may lie in any quadrant: slope will work out Leibniz notation for derivative based on Dy/Dx; the derivative is written dy/dx
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Exponents x0 = 1
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Derivative of a line y = mx + b slope m and y axis intercept b
derivative of y = axn + b with respect to x: dy/dx = a n x(n-1) Because b is a constant -- think of it as bx0 -- its derivative is 0b-1 = 0 For a straight line, a = m and n = 1 so dy/dx = m 1 x(0), or because x0 = 1, dy/dx = m
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Derivative of a polynomial
In differential Calculus, we consider the slopes of curves rather than straight lines For polynomial y = axn + bxp + cxq + … derivative with respect to x is dy/dx = a n x(n-1) + b p x(p-1) + c q x(q-1) + …
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Example y = axn + bxp + cxq + … dy/dx = a n x(n-1) + b p x(p-1) +
c q x(q-1) + …
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Numerical Derivatives
slope between points
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Derivative of Sine and Cosine
period of both sine and cosine is 2p d(sin(x))/dx = cos(x) d(cos(x))/dx = -sin(x)
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Partial Derivatives Functions of more than one variable
Example: h(x,y) = x4 + y3 + xy
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Partial Derivatives Partial derivative of h with respect to x at a y location y0 Notation dh/dx|y=y0 Treat ys as constants If these constants stand alone, they drop out of the result If they are in multiplicative terms involving x, they are retained as constants
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Partial Derivatives Example: h(x,y) = x4 + y3 + xy
dh/dx|y=y0 = 4x3 + y0
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WHY?
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Gradients del C (or grad C) Diffusion (Fick’s 1st Law):
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Numerical Derivatives
slope between points MATLAB c=[]; [dcdx,dcdy]=gradient(c) contour([1:20],[1:20],c) hold quiver([1:20],[1:20],-dcdx,-dcdy)
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Mathematica
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Mathematica
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