AMSC/CMSC 460 Final Exam Study Outline - Prof. Gilbert W. Stewart, Study notes of Computer Science

An outline of potential topics for the final exam in a course on scientific computing. The emphasis will be on topics covered after the midterm, including error analysis, floating-point arithmetic, polynomial interpolation, numerical integration, matrices, theory of linear equations, solution of linear systems, and least squares problems. References to van loan's introduction to scientific computing and stewart's afternotes on numerical analysis are provided.

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Pre 2010

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AMSC/CMSC 460 Study Outline for the final
The following outline consists of topics that may appear on the final exam. (Note
the absence of barycentric interpolation, Gaussian quadrature, and ordinary differential
equations.) Although any topics covered in the course may appear on the final, the
emphasis will be on topics covered after the midterm. In the accompanying references,
V refers to Van Loan’s Introduction to Scientific Computing, S refers to Stewart’s Af-
ternotes on Numerical Analysis and C refers to material treated in class. If an item
contains references to both books you should study both.
1. Error
1. Measurement error (C)
2. Truncation error (V1.4.2, S24)
3. Rounding error (V1.4.3, S6.11–6.22)
4. Absolute and relative error (V1.4.1, S1.10–1.14)
2. Floating-point arithmetic (V1.4.4, S6)
1. base, fraction (significand), exponent, normalization
2. IEEE floating point
3. Overflow and underflow
4. Rounding unit
5. Error in floating-point arithmetic
3. Rounding error analysis (S7-8)
1. Backward error analysis
2. Perturbation analysis
3. Cancellation
4. Polynomial interpolation
1. Natural form (V2.1, S18.1-18.10)
2. Lagrange form (S18.11–18.14)
3. Newton form (V2.2–2.3, S19.5–19.12)
4. Evaluation (V2.1.4, V2.2.3, S19.2–19.4, S19.7–19.8)
5. Error (V2.3.2, S20.1–20.5)
5. Piecewise polynomial interpolation
1. Piecewise linear interpolation (V3.1)
2. Table lookup (V3.1.2)
3. Spline interpolation (V3.3)
6. Numerical integration
1. Change of interval (S21.4–21.7)
2. Newton-Cotes formulas (V4.1)
3. Construction by undetermined coefficients (S21.19–21.20)
4. Simple and composite trapezoidal rule (S21.8–21.15)
5. Simple and composite Simpson’s rule (S21.19–22.8)
6. Singularities (S22.9–22.13)
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AMSC/CMSC 460 Study Outline for the final

The following outline consists of topics that may appear on the final exam. (Note the absence of barycentric interpolation, Gaussian quadrature, and ordinary differential equations.) Although any topics covered in the course may appear on the final, the emphasis will be on topics covered after the midterm. In the accompanying references, V refers to Van Loan’s Introduction to Scientific Computing, S refers to Stewart’s Af- ternotes on Numerical Analysis and C refers to material treated in class. If an item contains references to both books you should study both.

  1. Error
    1. Measurement error (C)
    2. Truncation error (V1.4.2, S24)
    3. Rounding error (V1.4.3, S6.11–6.22)
    4. Absolute and relative error (V1.4.1, S1.10–1.14)
  2. Floating-point arithmetic (V1.4.4, S6)
    1. base, fraction (significand), exponent, normalization
    2. IEEE floating point
    3. Overflow and underflow
    4. Rounding unit
    5. Error in floating-point arithmetic
  3. Rounding error analysis (S7-8)
    1. Backward error analysis
    2. Perturbation analysis
    3. Cancellation
  4. Polynomial interpolation
    1. Natural form (V2.1, S18.1-18.10)
    2. Lagrange form (S18.11–18.14)
    3. Newton form (V2.2–2.3, S19.5–19.12)
    4. Evaluation (V2.1.4, V2.2.3, S19.2–19.4, S19.7–19.8)
    5. Error (V2.3.2, S20.1–20.5)
  5. Piecewise polynomial interpolation
    1. Piecewise linear interpolation (V3.1)
    2. Table lookup (V3.1.2)
    3. Spline interpolation (V3.3)
  6. Numerical integration
    1. Change of interval (S21.4–21.7)
    2. Newton-Cotes formulas (V4.1)
    3. Construction by undetermined coefficients (S21.19–21.20)
    4. Simple and composite trapezoidal rule (S21.8–21.15)
    5. Simple and composite Simpson’s rule (S21.19–22.8)
    6. Singularities (S22.9–22.13)

AMSC/CMSC 460 Study Outline for the final

  1. Matrices
    1. Basic operations (S9)
    2. Matrix multiplication (V5.2.3)
    3. Matrices and memory (S11.1–11)
  2. Theory of linear equations
    1. Characterization of nonsingularity (S10.1–3)
    2. Norms (S15.1–10, V5.3.5)
    3. Perturbation theory and condition numbers (S15.11–16.4 V6.4.1–2.)
  3. Solution of linear systems
    1. Triangular systems (S10.6–10.13, V6.1.1–2)
    2. Gaussian elimination (S13.5–14.13, V6.3.1–3, 6.3.5)
    3. Stability (S16.10–17.14, V6.3.4)
  4. Least squares problems
  5. Lest squares fittine (V7.1.1–2)
  6. The QR factorization (Vpp.247–248, 7.2.3))
  7. Nonlinear Equations
  8. Interval bisection (V81.1.2, S1.3–9)
  9. Newton’s method (S2.1–14, V8.1.3)
  10. Combining Newton and Bisection (V8.1.4, Project 6)
  11. Condition of a root (S5.17–21)