A First Course in Stochastic Processes, Second Edition.pdf
Samuel Karlin, Howard M.Taylor
2020-02-01 03:16:34
42.83MB
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This seventh edition of Advanced Engineering Mathematics differs from the sixth in four ways.
First, based on reviews and user comments, new material has been added, including the
following.
• Orthogonal projections and least squares approximations of vectors and functions. This provides
a unifying theme in recognizing partial sums of eigenfunction expansions as projections
onto subspaces, as well as understanding lines of best fit to data points.
• Orthogonalization and the production of orthogonal bases.
• LU factorization of matrices.
• Linear transformations and matrix representations.
• Application of the Laplace transform to the solution of Bessel’s equation and to problems
involving wave motion and diffusion.
• Expanded treatment of properties and applications of Legendre polynomials and Bessel
functions, including a solution of Kepler’s problem and a model of alternating current flow.
• Heaviside’s formula for the computation of inverse Laplace transforms.
• A complex integral formula for the inverse Laplace transform, including an application to heat
diffusion in a slab.
• Vector operations in orthogonal curvilinear coordinates.
• Application of vector integral theorems to the development of Maxwell’s equations.
• An application of the Laplace transform convolution to a replacement scheduling problem.
2020-02-01 03:04:34
6.06MB
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convex optimization solution manual
2020-01-25 03:09:49
1.76MB
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