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Lx = b (Paperback, 3rd Revised edition)
Loot Price: R2,220
Discovery Miles 22 200
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Lx = b (Paperback, 3rd Revised edition)
Series: Foundations and Trends (R) in Theoretical Computer Science
Expected to ship within 10 - 15 working days
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The ability to solve a system of linear equations lies at the heart
of areas like optimization, scientific computing, and computer
science and has traditionally been a central topic of research in
the area of numerical linear algebra. An important class of
instances that arise in practice has the form Lx=b where L is the
Laplacian of an undirected graph. After decades of sustained
research and combining tools from disparate areas, we now have
Laplacian solvers that run in time nearly-linear in the sparsity of
the system, which is a distant goal for general systems.
Surprisingly, Laplacian solvers are impacting the theory of fast
algorithms for fundamental graph problems. In this monograph, the
emerging paradigm of employing Laplacian solvers to design novel
fast algorithms for graph problems is illustrated through a small
but carefully chosen set of examples. A significant part of this
monograph is also dedicated to developing the ideas that go into
the construction of near-linear time Laplacian solvers. An
understanding of these methods, which marry techniques from linear
algebra and graph theory, will not only enrich the tool-set of an
algorithm designer but will also provide the ability to adapt these
methods to design fast algorithms for other fundamental problems.
This monograph can be used as the text for a graduate-level course,
or act as a supplement to a course on spectral graph theory or
algorithms. The writing style, which deliberately emphasizes the
presentation of key ideas over rigor, will make it accessible to
advanced undergraduates.
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