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3.8 The Maple Packages • 95[basis, convexhull , cterm, define_zero, display, dual ,feasible, maximize, minimize, pivot, pivoteqn, pivotvar,ratio, setup, standardize]Say you want to maximize the expression w> w := -x+y+2*z;w := −x + y + 2 zsubject to the constraints c1, c2, and c3.> c1 := 3*x+4*y-3*z c2 := 5*x-4*y-3*z c3 := 7*x +4*y+11*z maximize(w, {c1,c2,c3});In this case, no answer means that Maple cannot find a solution. You canuse the feasible command to determine if the set of constraints is valid.> feasible({c1,c2,c3});trueTry again, but this time place an additional restriction on the solution.> maximize(w, {c1,c2,c3}, NONNEGATIVE);{z = 1 2 , y = 49 8 , x = 0}
96 • Chapter 3: Finding Solutions3.9 ConclusionThis chapter encompasses fundamental Maple features that will assistyou greatly as you learn more complicated problem-solving methods. Section3.1 introduced you to solve and fsolve, and how to properly usethem. These methods will be useful time and again.The final sections of this chapter introduced manipulations, dsolve,and the organization of Maple and the Maple library, in an attempt togive you a glimpse of Maple’s potential.
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Learning Guidecommand the brillianc
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ii•Waterloo Maple Inc.57 Erb Stre
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iv • ContentsThe numer and denom
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vi • ContentsThe Parts of an Expr
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viii • Contents
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2 • Chapter 1: Introduction to Ma
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