Thursday, 23 July 2015

How to solve second order differential equations on ti-89

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  http://www.hindawi.com/journals/aaa/
Abstract and Applied Analysis supports the publication of original material involving the complete solution of significant problems in the above disciplines. Abstract and Applied Analysis also encourages the publication of timely and thorough survey articles on current trends in the theory and applications of analysis

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Differential Equations Made Easy - ti89.com


  http://www.ti89.com/?a=DEQME
Great for solving HW problems and the step-by-step function helped me to find my mistakes, which makes it better than a computer! I love the phase line tool and the step-by-step Inverse LaPlace function

  http://www.hindawi.com/journals/mpe/2013/830317/
Figure 1: The efficiency curves for all methods for Problem 1 with and .Figure 2: The efficiency curves for all methods for Problem 2 with and .Figure 3: The efficiency curves for all methods for Problem 3 with and .Figure 4: The efficiency curves for all methods for Problem 4 with and .Figure 5: The numerical solution for all methods for Linear Problem with and .Figure 6: The numerical solution for all methods for Nonlinear Problem with and .Problem 1 (nonlinear). Most researchers, scientists, and engineers used to solve (1) by converting the second order differential equations to a system of first order equations twice the dimension

reactance - Solving the second-order differential equation for an RLC circuit using Laplace Transform - Electrical Engineering Stack Exchange


  http://electronics.stackexchange.com/questions/26268/solving-the-second-order-differential-equation-for-an-rlc-circuit-using-laplace
You should come up with something like sine or cosine whose frequency depends on L and C, and multiplied by a damping function that looks like a decaying exponential depending on R, L, and C intuitively

  http://www.mathworks.com/matlabcentral/answers/64417-how-to-solve-a-system-of-nonlinear-2nd-order-differential-equations
You can embed all your nonlinear functions (can be an integrated ODE or whatever)as the arguments of fsolve, assigning thos functions to be the ones that are needed to be optimized

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