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Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 434))

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Abstract

Most algorithms for stochastic optimization can be viewed as noisy versions of well-known incremental update deterministic optimization algorithms. Hence, we review in this chapter, some of the well-known algorithms for deterministic optimization. We shall study the noisy versions of these algorithms in later chapters.

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Correspondence to S. Bhatnagar .

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© 2013 Springer-Verlag London

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Bhatnagar, S., Prasad, H., Prashanth, L. (2013). Deterministic Algorithms for Local Search. In: Stochastic Recursive Algorithms for Optimization. Lecture Notes in Control and Information Sciences, vol 434. Springer, London. https://doi.org/10.1007/978-1-4471-4285-0_2

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  • DOI: https://doi.org/10.1007/978-1-4471-4285-0_2

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4284-3

  • Online ISBN: 978-1-4471-4285-0

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