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Engineering Mathematics Flashcards

6 cards from real SCE practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. Stokes' theorem relates a surface integral to:

    Answer: A line integral around the boundary of the surface

    Stokes' theorem equates the surface integral of the curl of a vector field to the line integral of the field around the boundary curve, generalizing Green's theorem to 3D.

  2. What is the primary purpose of singular value decomposition (SVD)?

    Answer: Decomposing any matrix into orthogonal and diagonal components for analysis

    SVD decomposes any m×n matrix into UΣV^T where U and V are orthogonal and Σ is diagonal. It is used in data compression, pseudoinverse computation, and principal component analysis.

  3. The error function erf(x) is commonly used in engineering for:

    Answer: Calculating probabilities related to normal distributions

    The error function erf(x) = (2/√π)∫₀ˣ e^(-t²)dt is directly related to the cumulative normal distribution and appears frequently in heat transfer and diffusion problems.

  4. In regression analysis, the coefficient of determination R² represents:

    Answer: The proportion of variance in the dependent variable explained by the model

    R² ranges from 0 to 1 and indicates how well the regression model explains the variability of the response data. An R² of 0.85 means 85% of variance is explained by the model.

  5. The trapezoidal rule approximation error is proportional to:

    Answer: h² (the square of the step size)

    The trapezoidal rule has a local error of O(h³) per interval and a global error of O(h²), making it a second-order method. Halving h reduces the global error by a factor of 4.

  6. A homogeneous system of linear equations always has:

    Answer: At least the trivial solution (all zeros)

    A homogeneous system Ax = 0 always has x = 0 as a solution (the trivial solution). It may also have infinitely many solutions if the matrix A is singular (rank-deficient).

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