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RSS Feed for probabilistic method16.901 Computational Methods in Aerospace Engineering (MIT) 16.901 Computational Methods in Aerospace Engineering (MIT)This course serves as an introduction to computational techniques arising in aerospace engineering Applications are drawn from aerospace structures aerodynamics dynamics and control and aerospace systems Techniques include numerical integration of systems of ordinary differential equations finite difference finite volume and finite element discretization of partial differential equations numerical linear algebra eigenvalue problems and optimization with constraints Technical RequirementsMATLAB 174 software is required to 160 run the m 160 and mat 160 files found on this course site MATLAB 174 is a trademark of The MathWorks Inc This course serves as an introduction to computational techniques arising in aerospace engineering Applications are drawn from aerospace structures aerodynamics dynamics and control and aerospace systems Techniques include numerical integration of systems of ordinary differential equations finite difference finite volume and finite element discretization of partial differential equations numerical linear algebra eigenvalue problems and optimization with constraints Technical RequirementsMATLAB 174 software is required to 160 run the m 160 and mat 160 files found on this course site MATLAB 174 is a trademark of The MathWorks Inc
http://dspace.mit.edu/handle/1721.1/36877
http://dspace.mit.edu/handle/1721.1/368776.856J Randomized Algorithms (MIT) 6.856J Randomized Algorithms (MIT)This course examines how randomization can be used to make algorithms simpler and more efficient via random sampling random selection of witnesses symmetry breaking and Markov chains Topics covered include randomized computation data structures hash tables skip lists graph algorithms minimum spanning trees shortest paths minimum cuts geometric algorithms convex hulls linear programming in fixed or arbitrary dimension approximate counting parallel algorithms online algorithms derandomization techniques and tools for probabilistic analysis of algorithms This course examines how randomization can be used to make algorithms simpler and more efficient via random sampling random selection of witnesses symmetry breaking and Markov chains Topics covered include randomized computation data structures hash tables skip lists graph algorithms minimum spanning trees shortest paths minimum cuts geometric algorithms convex hulls linear programming in fixed or arbitrary dimension approximate counting parallel algorithms online algorithms derandomization techniques and tools for probabilistic analysis of algorithms
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-856j-randomized-algorithms-fall-2002
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-856j-randomized-algorithms-fall-200216.901 Computational Methods in Aerospace Engineering (MIT) 16.901 Computational Methods in Aerospace Engineering (MIT)This course serves as an introduction to computational techniques arising in aerospace engineering Applications are drawn from aerospace structures aerodynamics dynamics and control and aerospace systems Techniques include numerical integration of systems of ordinary differential equations finite difference finite volume and finite element discretization of partial differential equations numerical linear algebra eigenvalue problems and optimization with constraints This course serves as an introduction to computational techniques arising in aerospace engineering Applications are drawn from aerospace structures aerodynamics dynamics and control and aerospace systems Techniques include numerical integration of systems of ordinary differential equations finite difference finite volume and finite element discretization of partial differential equations numerical linear algebra eigenvalue problems and optimization with constraints
http://ocw.mit.edu/courses/aeronautics-and-astronautics/16-901-computational-methods-in-aerospace-engineering-spring-2005
http://ocw.mit.edu/courses/aeronautics-and-astronautics/16-901-computational-methods-in-aerospace-engineering-spring-200516.901 Computational Methods in Aerospace Engineering (MIT) 16.901 Computational Methods in Aerospace Engineering (MIT)This course serves as an introduction to computational techniques arising in aerospace engineering Applications are drawn from aerospace structures aerodynamics dynamics and control and aerospace systems Techniques include numerical integration of systems of ordinary differential equations finite difference finite volume and finite element discretization of partial differential equations numerical linear algebra eigenvalue problems and optimization with constraints This course serves as an introduction to computational techniques arising in aerospace engineering Applications are drawn from aerospace structures aerodynamics dynamics and control and aerospace systems Techniques include numerical integration of systems of ordinary differential equations finite difference finite volume and finite element discretization of partial differential equations numerical linear algebra eigenvalue problems and optimization with constraints
http://www.core.org.cn/OcwWeb/Aeronautics-and-Astronautics/16-901Computational-Methods-in-Aerospace-EngineeringSpring2003/CourseHome/index.htm
http://www.core.org.cn/OcwWeb/Aeronautics-and-Astronautics/16-901Computational-Methods-in-Aerospace-EngineeringSpring2003/CourseHome/index.htm16.901 Computational Methods in Aerospace Engineering (MIT) 16.901 Computational Methods in Aerospace Engineering (MIT)This course serves as an introduction to computational techniques arising in aerospace engineering Applications are drawn from aerospace structures aerodynamics dynamics and control and aerospace systems Techniques include numerical integration of systems of ordinary differential equations finite difference finite volume and finite element discretization of partial differential equations numerical linear algebra eigenvalue problems and optimization with constraints This course serves as an introduction to computational techniques arising in aerospace engineering Applications are drawn from aerospace structures aerodynamics dynamics and control and aerospace systems Techniques include numerical integration of systems of ordinary differential equations finite difference finite volume and finite element discretization of partial differential equations numerical linear algebra eigenvalue problems and optimization with constraints
https://ocw.mit.edu/courses/aeronautics-and-astronautics/16-901-computational-methods-in-aerospace-engineering-spring-2005
https://ocw.mit.edu/courses/aeronautics-and-astronautics/16-901-computational-methods-in-aerospace-engineering-spring-200516.90 Computational Methods in Aerospace Engineering (MIT)This course provides an introduction to numerical methods and computational techniques arising in aerospace engineering Applications are drawn from aerospace structures aerodynamics dynamics and control and aerospace systems Techniques covered include numerical integration of systems of ordinary differential equations numerical discretization of partial differential equations and probabilistic methods for quantifying the impact of variability Specific emphasis is given to finite volume methods in fluid mechanics and finite element methods in structural mechanics Acknowledgement Prof David Darmofal taught this course in prior years and created some of the materials found in this OCW site
https://ocw.mit.edu/courses/aeronautics-and-astronautics/16-90-computational-methods-in-aerospace-engineering-spring-2014
https://ocw.mit.edu/courses/aeronautics-and-astronautics/16-90-computational-methods-in-aerospace-engineering-spring-201416.901 Computational Methods in Aerospace Engineering (MIT)This course serves as an introduction to computational techniques arising in aerospace engineering Applications are drawn from aerospace structures aerodynamics dynamics and control and aerospace systems Techniques include numerical integration of systems of ordinary differential equations finite difference finite volume and finite element discretization of partial differential equations numerical linear algebra eigenvalue problems and optimization with constraints Technical RequirementsMATLAB 174 software is required to 160 run the m 160 and mat 160 files found on this course site MATLAB 174 is a trademark of The MathWorks Inc
https://dspace.mit.edu/handle/1721.1/36877
https://dspace.mit.edu/handle/1721.1/368776.856J Randomized Algorithms (MIT)This course examines how randomization can be used to make algorithms simpler and more efficient via random sampling random selection of witnesses symmetry breaking and Markov chains Topics covered include randomized computation data structures hash tables skip lists graph algorithms minimum spanning trees shortest paths minimum cuts geometric algorithms convex hulls linear programming in fixed or arbitrary dimension approximate counting parallel algorithms online algorithms derandomization techniques and tools for probabilistic analysis of algorithms
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-856j-randomized-algorithms-fall-2002
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-856j-randomized-algorithms-fall-200216.901 Computational Methods in Aerospace Engineering (MIT)This course serves as an introduction to computational techniques arising in aerospace engineering Applications are drawn from aerospace structures aerodynamics dynamics and control and aerospace systems Techniques include numerical integration of systems of ordinary differential equations finite difference finite volume and finite element discretization of partial differential equations numerical linear algebra eigenvalue problems and optimization with constraints
https://dspace.mit.edu/handle/1721.1/105768
https://dspace.mit.edu/handle/1721.1/105768