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Learning Core Audio: A Hands-On Guide to Audio Programming for Mac and iOS
Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77
Introduction to Programming with Fortran - with coverage of Fortran 90, 95, 2003 and 77
MATLAB - Modelling, Programming and Simulations
-MATLAB: Modelling, Programming and Simulations- ed. by Emilson Pereira Leite (Repost)
Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77 [Repost]
An Introduction to Programming and Numerical Methods in MATLAB [Repost]
"MATLAB: Modelling, Programming and Simulations" ed. by Emilson Pereira Leite (Repost)
Programming Social Applications: Building Viral Experiences with OpenSocial, OAuth, OpenID, and Distributed Web... (repost)
MATLAB Programming for Engineers (2nd edition) [Repost]
Sriranga Veeraraghavan, "Sams Teach Yourself Shell Programming in 24 Hours" (Repost)
Programming Computer Vision with Python - Tools and algorithms for analyzing images
Matlab: A Practical Introduction to Programming and Problem Solving (2nd edition) [Repost]
ECOOP 2011 - Object-Oriented Programming
Mobile JavaScript Application Development - Bringing Web Programming to Mobile Devices [Paperback]
Concurrent Programming on Windows (repost)
Expert WSS 3.0 and MOSS 2007 Programming (repost)
Embedded Software Design and Programming of Multiprocessor System-on-Chip (repost)
OpenCV 2 Computer Vision Application Programming Cookbook
Programming Computer Vision with Python: Tools and algorithms for analyzing images
Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77
Introduction to Programming with Fortran - with coverage of Fortran 90, 95, 2003 and 77
MATLAB - Modelling, Programming and Simulations
-MATLAB: Modelling, Programming and Simulations- ed. by Emilson Pereira Leite (Repost)
Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77 [Repost]
An Introduction to Programming and Numerical Methods in MATLAB [Repost]
"MATLAB: Modelling, Programming and Simulations" ed. by Emilson Pereira Leite (Repost)
Programming Social Applications: Building Viral Experiences with OpenSocial, OAuth, OpenID, and Distributed Web... (repost)
MATLAB Programming for Engineers (2nd edition) [Repost]
Sriranga Veeraraghavan, "Sams Teach Yourself Shell Programming in 24 Hours" (Repost)
Programming Computer Vision with Python - Tools and algorithms for analyzing images
Matlab: A Practical Introduction to Programming and Problem Solving (2nd edition) [Repost]
ECOOP 2011 - Object-Oriented Programming
Mobile JavaScript Application Development - Bringing Web Programming to Mobile Devices [Paperback]
Concurrent Programming on Windows (repost)
Expert WSS 3.0 and MOSS 2007 Programming (repost)
Embedded Software Design and Programming of Multiprocessor System-on-Chip (repost)
OpenCV 2 Computer Vision Application Programming Cookbook
Programming Computer Vision with Python: Tools and algorithms for analyzing images
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Algorithms and Theory in Filtering and Control (Mathematical Programming Study, 18) (Pt. 1)
Posted on 2010-03-16
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More Algorithms and Theory in Filtering and Control: Proceedings of the Workshop on Numerical Techniques for Systems Engineering Problems, Part L (Mathematical Programming Study, 18) (Pt. 1): Danny C. Sorensen, Roger J. B. Wets This volume and its companion, that together constitute the Proceedings of the Workshop on Numerical Techniques for Systems Engineering Problems held in Lexington, Kentucky (June 1980), are dedicated to the premise that modern techniques of linear algebra and non-classical optimization could be exploited to devise computational schemes for systems engineering problems that have all the desirable numerical qualifications. In this volume we record actual advances made in this direction as well as some recent theoretical developments in systems theory that appear to be intimately related. The variational and optimization techniques that appear to promise further development are reviewed in Part 2 of the Proceedings. This collection begins with the demonstration by M. Pavon and R. J.-B. Wets that the duality between linear estimation and control follows from basic duality principles for convex optimization problems. The result is obtained by casting the estimation problem in the form of a stochastic convex optimization problem and showing that the control problem is its deterministic dual. This shows that nonlinear optimization, estimation, and control problems are intrinsically tied together. Recursive relations that yield the optimal estimators of a dynamical system are derived from this point of view. In the next paper Pavon illustrates the role played by the conjugate process y? in discrete time stochastic realization theory. Given a certain process y, the problem is to determine a Markov process x of smallest possible dimensions such that (x y) is Markov. In particular he shows that the input of every internal realization of y can be generated by an anticausal filter driven by the conjugate process. To see my other books, click Download Link (Here).
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