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1 14–17 MATLAB®. "Matrix Laboratory". MATLAB syntax, workspace, variables. Script M-files, IO, control flow, debugging, and profiling tools. Object-oriented programming MATLAB applications, polynomials, interpolation, integration, differentiation, ODE. Graphics, 2-D, 3-D, Graphical User Interface (GUI) Lec #14 [开放课件]

授课人:Prof. Thomas Herring,Dr. Chris Hill

课程:Computational Methods of Scientific Programming,

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2 18–19 Python scripting language program Lec #18 [开放课件]

授课人:Prof. Thomas Herring,Dr. Chris Hill

课程:Computational Methods of Scientific Programming,

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3 12–13 Mathematica. What it is and what it can do; structure of Mathematica; symbols, exact numbers, and machine numbers; lists, vectors, and matrices Working with Mathematica: numerical calculations, symbolic calculations, and graphics. Importing and exporting information Lec #12 [开放课件]

授课人:Prof. Thomas Herring,Dr. Chris Hill

课程:Computational Methods of Scientific Programming,

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4 8–11 C for scientific uses. Representation of data through arrays, pointers, and data structures. Function calls, argument passing and scoping rules, IO, profiling, system calls, and signals C++ objects. Encapsulation and inheritance, polymorphic operators Lec #8 [开放课件]

授课人:Prof. Thomas Herring,Dr. Chris Hill

课程:Computational Methods of Scientific Programming,

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5 1–2 Introduction: Problem formulation, algorithm development, algorithm implementation, and algorithm verification. Structure and documentation Lec #1 [开放课件]

授课人:Prof. Thomas Herring,Dr. Chris Hill

课程:Computational Methods of Scientific Programming,

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6 21 Ordinary differential equation (ODE) solutions used MATLAB and Mathematica Lec #21 [开放课件]

授课人:Prof. Thomas Herring,Dr. Chris Hill

课程:Computational Methods of Scientific Programming,

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