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Rice Course Schedule, Spring 2000 Computational and Applied Math (CAAM)
Rice Course Schedule as of 01/03/2000.
This schedule is maintained by the Office of the Registrar
(reg@rice.edu).
NOTE: Course web pages are available for some CAAM courses.
CAAM 211 INTRO TO ENG COMPUTATION Credits 3.00 Spring 00
* DISTRIBUTION COURSE: GROUP III
Introduction to engineering and scientific computation: Engineering
workstations, programming software systems, and numerical methods. Laboratory
to illustrate the application of computational and visualization methods to
problem analysis. Matlab serves as the primary computational and display tool
with supplementary programs written in FORTRAN. Only one of the two courses
Caam 210, 211 may be taken for credit.
Prereq- Math 101, Phys 101
001 TBA Zhang, Yin Enr: 0 Max: NA
CAAM 310 LINEAR ALGEBRA Credits 3.00 Spring 00
* DISTRIBUTION COURSE: GROUP III
Concepts and results of linear algebra useful in a variety of fields of
application.
001 TBA TBA Enr: 0 Max:
CAAM 322 INTRO TO REAL ANAYSIS II Credits 3.00 Spring 00
Continuation of Caam 321. Linear maps and matrices, matrix norms, convergence
of sequences, continuity and differentiability of functions on Rn, the
derivative as a linear map, normed linear spaces, completeness, the contraction
mapping principle, inverse and implicit function theorems, fundamental theorems
on ODEs, compactness, multivariate integration.
Prereq- Caam 321.
001 TBA Heinkenschloss, Matthias Enr: 0 Max: NA
CAAM 335 MATRIX ANALYSIS Credits 3.00 Spring 00
Equilibria and the solution of linear and linear least squares problems.
Dynamical systems and the eigenvalue problem with the Jordan form and Laplace
transform via complex integration.
Prereq- Math 212 and Caam 210 or 211.
001 TBA Cox, Steven J. Enr: 0 Max: NA
CAAM 336 DIFFERENTIAL EQUATIONS IN SCIENCE AND EN Credits 3.00 Spring 00
Green's functions, exponential and series solutions, and numerical methods for
initial and boundary value problems of mathematical physics. Dynamics of
mass-spring systems and circuits, equilibria of solids, fluids and
electromagnetic fields, heat flow and wave motion. Emphasis on scientific and
engineering motivation and consequences and on modern computational methods.
Prereq- Math 212 and Caam 210 or 211.
001 TBA Symes, William W. Enr: 0 Max: NA
CAAM 353 COMPUTATIONAL NUM ANAL Credits 3.00 Spring 00
An introductory course in numerical analysis with computer applications.
Prereq- Math 211.
001 TBA Borcea, Liliana Enr: 0 Max: NA
CAAM 378 INTRO TO OPERATIONS RESEARCH Credits 3.00 Spring 00
An alternative to Caam 376 for students with a year of calculus. Some
knowledge of linear algebra and of probability is desirable.
001 TBA Dean, Nathaniel Enr: 0 Max: NA
CAAM 381 INTRO TO APPLIED PROBABILITY Credits 3.00 Spring 00
Concepts, interpretations, elementary techniques, and applications of modern
probability theory,
Prereq- Math 102.
001 TBA TBA Enr: 0 Max:
CAAM 420 INTRO COMPUTATIONAL SCIENCE Credits 3.00 Spring 00
Basic principles of computational science, including vector and parallel
computer architectures, parallel numerical algorithms, scientific
visualization, analysis and enhancement of performance, and use of programming
tools and environments. Programming assignments will involve hands-on
experience with supercomputers and parallel computers.
Prereq- Comp 210 and Caam 353.
001 TBA Moore, Douglas W. Enr: 0 Max: NA
CAAM 435 ORDINARY DIFFERENTIAL EQUATION Credits 3.00 Spring 00
Existence, Uniqueness and stability of solutions to systems of nonlinear
ordinary differential equations with applications to control theory.
Also offered as ELEC 508
001 TBA Ghorbel, Fathi Enr: 0 Max: NA
CAAM 437 PARTIAL DIFFERENTIAL EQUATIONS II Credits 3.00 Spring 00
Continuation of Caam 436. Newtonian heat flow, the Gaussian kernel, Fourier
transform in L2, analysis of smoothing property, Maxwell's equations, weak
solutions, distributions, propagation of discontinuity in 1D, Green's function
in 3D, Fourier analysis, additional topics at discretion of instructor.
Prereq- Caam 436.
001 TBA Symes, William W. Enr: 0 Max: NA
CAAM 452 COMP METH-DIFF EQUATION Credits 4.00 Spring 00
Finite difference, variational, and collocation methods for approximating
numerically the solutions of ordinary and partial differential equations.
Computer implementation to verify convergence to the solution.
Prereq- Caam 335 and 336 or permission of instructor.
001 TBA Kloucek, Petr Enr: 0 Max: NA
CAAM 454 OPTIMIZATION PROBLEMS IN COMPUTATIONAL E Credits 3.00 Spring 00
An introduction to the formulation of optimization problems, with practical
applications. Topics include appropriate algorithms for systems of nonlinear
equations, parameter identification for differential equations, basic reduction
methods, and examples from computational engineering and science. A complement
to CAAM 460.
Prerequisites: Proficiency in Fortran or C, and understanding of numerical
linear algebra and calculus.
001 TBA Heinkenschloss, Matthias Enr: 0 Max: NA
CAAM 475 INTEGER & COMBINATORIAL OPTIMIZATION Credits 3.00 Spring 00
Modeling and solving optimization problems with discrete components, graphs and
networks; network flow problems; minimum spanning trees; basic polyhedral
theory; the knapsack problem; the plant location problem; the set packing
problem; computational complexity; branch and bound; cutting planes; Lagrangian
relaxation and Bender's decomposition.
Prereq- Caam 471.
Also offered as ECON 475
001 TBA Cook, William J. Enr: 0 Max: NA
CAAM 476 OPERATIONS RESEARCH- STOCHASTIC MODELS Credits 3.00 Spring 00
Probability and decisions; random selection; Markov chains and decision
processes; waiting lines; martingale models.
Prereq- Caam 381 or Stat 310.
Also offered as ECON 476
001 TBA TBA Enr: 0 Max:
CAAM 491 INDEPENDENT STUDY Credits Spring 00
No description
001 TBA Staff Enr: 0 Max: NA
CAAM 502 UNIX FOR SCIENTIFIC & ENGINEERING APPLIC Credits 1.00 Spring 00
Continuation of Caam 501.
001 TBA Pearlman, Michael D. Enr: 0 Max: NA
CAAM 513 CONSULTING Credits 3.00 Spring 00
Learn about various research topics in applied mathematics. Lectures in
consulting, presentation skills and various topics, as needed for the
consulting projects.
Prereq- Permission of instructor.
001 TBA TBA Enr: 0 Max:
CAAM 522 PROGRAMMING FOR COMPUTATIONAL MATHEMATIC Credits 3.00 Spring 00
Programming techniques, style, data structures, and algorithms for efficient
computational mathematics.
Prereq- Caam 210 or Caam 211; Caam 501 or permission of instructor.
001 TBA Applegate, David Lee Enr: 0 Max: NA
CAAM 540 APPLIED FUNCT. ANALYSIS Credits 3.00 Spring 00
Hilbert spaces, Banach spaces, spectral theory, and weak topologies with
applications to signal processing, control, and partial differential equations.
Prereq- Math 425 of permission of instructor.
001 TBA Cox, Steven J. Enr: 0 Max: NA
CAAM 541 APPLIED FUNCTIONAL ANALYSIS II Credits 3.00 Spring 00
Boundary value problems of mathematical physics; function spaces and
distributions; direct method in the calculus of variations; Green's functions
and integral equations; compact operators, spectral theory, regular and
singular Sturm-Liouville problems.
001 TBA - TBA Cox, Steven J. Enr: 0 Max: NA
CAAM 551 ADV NUMERICAL LIN ALGEBRA Credits 3.00 Spring 00
Iterative and/or direct methods for large scale problems.
001 TBA Sorensen, Danny C. Enr: 0 Max: NA
CAAM 554 NUM NONLINEAR PROGRAMMING Credits 3.00 Spring 00
Analysis of modern numerical methods for constrained problems, including
variable metric methods, successive quadratic programming, and trust region
methods.
001 TBA Tapia, Richard A. Enr: 0 Max: NA
CAAM 564 MINIMIZATION OF FUNC Credits 3.00 Spring 00
Optimal control theory and calculus of variations. Minimization of functionals
depending on variable subject to differential constraints, nondifferential
constraints, initial constraints, and final constraints. Analytical and
computational methods. Engineering applications.
Also offered as MECH 564
001 TBA Miele, Angelo Enr: 0 Max: NA
CAAM 570 ADVANCED TOPICS IN GRAPH THEORY Credits 3.00 Spring 00
This course provides an overview of the main research topics in Graph Theory.
Each student will report regularly on some selected area, progress reports
will be supplemented by lectures given by the instructor, and each student will
complete an extensive survey of their area.
Prereq- CAAM 470
001 TBA - TBA Dean, Nathaniel Enr: 0 Max: NA
CAAM 571 ADVANCED INTEGER & COMBINATORIAL OPTIMIZ Credits 3.00 Spring 00
Material will vary from year to year. Emphasis will be on methods for solving
optimization problems with discrete components. Possible topics include:
polyhedral structure of fundamental problem classes; matrix properties of
integral polyhedra; cardinality and weighted matching; matroids and
polymatroids; submodular functions; the ellipsoid algorithm and its
consequences; integer lattices; advanced integer programming techniques.
Prereq- Caam 475.
001 TBA Dean, Nathaniel Enr: 0 Max: NA
CAAM 575 TOPICS IN INTEGER PROGRAMMING Credits 2.00 Spring 00
Seminar on selected topics in integer programming. Topics will vary from year
to year. May be repeated for credit.
001 TBA Applegate, David Lee Enr: 0 Max: NA
CAAM 582 MATHEMATICAL PROBABILITY II Credits 3.00 Spring 00
Continuation of Caam 581.
001 TBA Olofsson, Peter Enr: 0 Max: NA
CAAM 584 ESTIMATION THEORY Credits Spring 00
Maximum likelihood and Bayesian vector parameter estimation. Minimum mean
square error estimation. Time series analysis. Algorithms based on state
variable and ARMA models for signal estimation, model identification, and
spectral estimation.
Prereq- Caam 381 (Caam 583 recommended).
001 TBA Staff Enr: 0 Max: NA
CAAM 591 OPERATIONS RESEARCH Credits Spring 00
No description
001 TBA Staff Enr: 0 Max: NA
CAAM 592 WAVES IN HETEROGENEOUS MEDIA Credits 3.00 Spring 00
No description
Also offered as GEOL 520
001 TBA Borcea, Liliana Enr: 0 Max: NA
CAAM 652 TOPS IN NUMERICAL DE Credits 3.00 Spring 00
Content varies from year to year.
001 TBA Staff Enr: 0 Max: NA
CAAM 654 TOPICS IN OPTIMIZATION Credits 3.00 Spring 00
Content varies from year to year.
001 TBA Tapia, Richard A. Enr: 0 Max: NA
CAAM 800 THESIS Credits Spring 00
No description
001 TBA Staff Enr: 0 Max: NA
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