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Now a Major Motion Picture .... well, how about a YouTube sequence of 20 VIDEOS, look for Mathematical Modeling and Computational Calculus I.
In MMCC I we get lots of great results using Euler's method, which computes the solutions to ordinary differential equations after making the substitution df/dt = (f(t+dt) f(t))/dt, so that f(t+dt) = f(t) + dt×df/dt. Folks, that s all the calculus there is in MMCC I.
Euler's method applied to partial differential equations is the finite difference method (FDM), and in MMCC II the FDM is used to analyze the following systems:
The wave equation
Stress and strain in materials
Electro-magnetic radiation and Maxwell's equations
Since the time of Newton the basic paradigm of mathematical physics and engineering has been the following:
1. Understand the physical laws governing the phenomena being studied.
2. Develop a differential equation model of the process.
3. Solve the differential equations. Ay, there's the rub.
4. Analyze the results
The problem has always been step 3, as most differential equations do not have analytic solutions. We bypass all the difficulties of analytic calculus by using computational calculus, in our case the FDM, just as it's done in the real world.
We follow the basic paradigm for each project in the book, starting with the physical laws, and deriving the differential equation model using baby steps, striving for intuitive clarity and transparency. The finite difference method substitutions are made for the derivatives in the model, giving a set of arithmetic expressions that are used to calculate results. A MATLAB/OCTAVE/FREEMAT program is written to implement the computations.
The program is the thing. In the program everything in the model is made explicit and translated into additions, subtractions, multiplications, and divisions. There is no mystery in the program. It enables the student to see exactly how each component of the model affects other components and how it contributes to the total solution. In addition, by varying model and system parameters, the process can be studied for a variety of model characteristics, initial conditions and disturbance functions. The program gives the student a sense of complete mastery of the physical process and the mathematical analysis.
"synopsis" may belong to another edition of this title.
The author has a PhD from Berkeley and spent twenty years as a research engineer in high tech firms like Honeywell Aerospace Division, Lockheed, and Stanford Telecom.Review:
Students who will continue to study higher math will still need to take calculus or higher courses that teach the theoretical math, but this course might be the bridge that helps students become enthused enough about calculus to continue on to higher levels of math. It also might be a good course for those who want to understand what calculus is all about and how it is used even if they don t intend to take any higher math courses.
"About this title" may belong to another edition of this title.
Book Description Berkeley Science Books, 2015. Condition: New. book. Seller Inventory # M0976413876