Operator theory

Results: 3168



#Item
951Adjoint operators Jon Claerbout A great many of the calculations we do in science and engineering are really matrix multiplication in disguise. The first goal of this chapter is to unmask the disguise by showing many exa

Adjoint operators Jon Claerbout A great many of the calculations we do in science and engineering are really matrix multiplication in disguise. The first goal of this chapter is to unmask the disguise by showing many exa

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Source URL: www.reproducibility.org

Language: English - Date: 2013-11-11 23:14:09
952Fibrancy of Symplectic Homology in Cotangent Bundles Thomas Kragh April 5, 2013

Fibrancy of Symplectic Homology in Cotangent Bundles Thomas Kragh April 5, 2013

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Source URL: projects.au.dk

Language: English - Date: 2013-05-13 09:19:30
953FAST GREEKS FOR MARKOV-FUNCTIONAL MODELS USING ADJOINT PDE METHODS NICK DENSON AND MARK JOSHI Abstract. This paper demonstrates how the adjoint PDE method can be used to compute Greeks in Markov-functional models. This i

FAST GREEKS FOR MARKOV-FUNCTIONAL MODELS USING ADJOINT PDE METHODS NICK DENSON AND MARK JOSHI Abstract. This paper demonstrates how the adjoint PDE method can be used to compute Greeks in Markov-functional models. This i

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Source URL: fbe.unimelb.edu.au

Language: English - Date: 2013-08-05 02:21:40
954Existence and Uniqueness of a Fixed Point for the Bellman Operator in Deterministic Dynamic Programming∗ Takashi Kamihigashi† February 19, 2012

Existence and Uniqueness of a Fixed Point for the Bellman Operator in Deterministic Dynamic Programming∗ Takashi Kamihigashi† February 19, 2012

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Source URL: www.parisschoolofeconomics.eu

Language: English - Date: 2012-12-19 15:58:44
955SAMPLING THEORY IN SIGNAL AND IMAGE PROCESSING c 2015 SAMPLING PUBLISHING ⃝ Vol. 14, No. 1, 2015, ppISSN:

SAMPLING THEORY IN SIGNAL AND IMAGE PROCESSING c 2015 SAMPLING PUBLISHING ⃝ Vol. 14, No. 1, 2015, ppISSN:

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Source URL: stsip.org

Language: English - Date: 2014-12-30 20:13:22
956maximum-severity-ruin-interest_revision2.DVI

maximum-severity-ruin-interest_revision2.DVI

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Source URL: fbe.unimelb.edu.au

Language: English - Date: 2013-08-05 02:09:38
957CHENNAI MATHEMATICAL INSTITUTE Graduate Programme in Mathematics - M.Sc./Ph.D. Solutions to the Entrance Examination, 2012 Part A 1. True. Take δ = . Then k(x1 , x2 · · · xn ) − (y1 , y2 · · · yn )k2 < δ impli

CHENNAI MATHEMATICAL INSTITUTE Graduate Programme in Mathematics - M.Sc./Ph.D. Solutions to the Entrance Examination, 2012 Part A 1. True. Take δ = . Then k(x1 , x2 · · · xn ) − (y1 , y2 · · · yn )k2 < δ impli

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Source URL: www.cmi.ac.in

Language: English - Date: 2013-02-25 05:04:22
9582d models: O(N ), CP (N ). Asymptotic freedom. Restoration of symmetry. O(N )-sigma model (or vector model) in d = 1 + 1 Action = S

2d models: O(N ), CP (N ). Asymptotic freedom. Restoration of symmetry. O(N )-sigma model (or vector model) in d = 1 + 1 Action = S

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Source URL: thd.pnpi.spb.ru

Language: English - Date: 2008-12-19 09:58:06
959egu_logo_without_circle_grey

egu_logo_without_circle_grey

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Source URL: www.the-cryosphere.net

Language: English - Date: 2014-12-04 08:22:48
960MSC/PHD MATHEMATICS 2014 SOLUTIONS  Part A 1. B, D. 2. A, B. 3. B.

MSC/PHD MATHEMATICS 2014 SOLUTIONS Part A 1. B, D. 2. A, B. 3. B.

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Source URL: www.cmi.ac.in

Language: English - Date: 2014-09-01 03:14:34