Relevant bibliographies by topics / Complex analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Complex analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 July 2024

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Journal articles on the topic "Complex analysis"

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Xie, Yonghong, Heju Yang, and Yuying Qiao. "Complexk-hypermonogenic functions in complex Clifford analysis." Complex Variables and Elliptic Equations 58, no. 10 (October 2013): 1467–79. http://dx.doi.org/10.1080/17476933.2012.686496.

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Zalcman, Lawrence, Joseph Bak, Donald J. Newman, and Ralph Philip Boas. "Complex Analysis." American Mathematical Monthly 97, no. 3 (March 1990): 262. http://dx.doi.org/10.2307/2324710.

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Leversha, Gerry, and Theodore W. Gamelin. "Complex Analysis." Mathematical Gazette 86, no. 506 (July 2002): 367. http://dx.doi.org/10.2307/3621909.

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Hart, Mary, and S. Lang. "Complex Analysis." Mathematical Gazette 70, no. 452 (June 1986): 165. http://dx.doi.org/10.2307/3615801.

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Janson, Svante. "On Complex Hypercontractivity." Journal of Functional Analysis 151, no. 1 (December 1997): 270–80. http://dx.doi.org/10.1006/jfan.1997.3144.

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Dey, Partha Pratim, and Manzia Jamil. "On complex derivative and complex matrices." Journal of Interdisciplinary Mathematics 11, no. 2 (April 2008): 155–62. http://dx.doi.org/10.1080/09720502.2008.10700551.

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Farris, Frank A., and Tristan Needham. "Visual Complex Analysis." American Mathematical Monthly 105, no. 6 (June 1998): 570. http://dx.doi.org/10.2307/2589427.

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Baylis, John, J. E. Marsden, and M. J. Hoffman. "Basic Complex Analysis." Mathematical Gazette 72, no. 459 (March 1988): 68. http://dx.doi.org/10.2307/3618015.

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Shiu, P., and Tristan Needham. "Visual Complex Analysis." Mathematical Gazette 83, no. 496 (March 1999): 182. http://dx.doi.org/10.2307/3618747.

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&NA;. "Complex Systems Analysis." Shock 16, no. 4 (October 2001): 247. http://dx.doi.org/10.1097/00024382-200116040-00001.

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Dissertations / Theses on the topic "Complex analysis"

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Silva, Marcos Afonso da [UNESP]. "Análise complexa e aplicações." Universidade Estadual Paulista (UNESP), 2018. http://hdl.handle.net/11449/153862.

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Rejected by Adriana Aparecida Puerta null (dripuerta@rc.unesp.br), reason: Prezado Marcos, O documento "Análise complexa e aplicações" enviado para a coleção IGCE- Rio Claro foi recusado pelo(s) seguinte(s) motivo(s): - Falta a capa, que é elemento obrigatório e deve vir em primeiro lugar, antes da folha de rosto. - Falta a folha de aprovação, que deve ser solicitada à Seção de Pós-Graduação e deve ser inserida após a ficha catalográfica. O documento enviado não foi excluído. Para revisá-lo e realizar uma nova tentativa de envio, acesse: https://repositorio.unesp.br/mydspace Em caso de dúvidas entre em contato pelo email repositoriounesp@reitoria.unesp.br. Agradecemos a compreensão e aguardamos o envio do novo arquivo. Atenciosamente, Biblioteca Campus Rio Claro Repositório Institucional UNESP https://repositorio.unesp.br on 2018-05-03T16:21:47Z (GMT)
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O objetivo principal deste trabalho é desenvolver um estudo introdutório, porém detalhado, sobre Análise Complexa e algumas de suas aplicações. Apresentamos o corpo dos números complexos, exploramos as funções complexas de uma variável complexa, exibimos parte da teoria das funções analíticas e parte da teoria de integração complexa. Provamos importantes resultados, tais como o Teorema de Cauchy, o Teorema de Taylor, o Teorema dos Resíduos, entre outros igualmente relevantes. Como aplicação da teoria, destacamos a utilização do Teorema dos Resíduos para determinar a transformada inversa de Laplace de uma função F(s).
The main objective of this work is to develop an introductory but detailed study on Complex Analysis and some of its applications. We present the field of the complex numbers, explore the complex functions of a complex variable, exhibit part of the theory of analytic functions, and part of the complex integration theory. We prove important results, such as Cauchy’s Theorem, Taylor’s Theorem, Residue Theorem, among others equally relevant. As an application of the theory, we highlight the use of the Residue Theorem to determine the inverse Laplace transform of a function F(s).
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Arnold, Rachel Florence. "Complex Analysis on Planar Cell Complexes." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/32230.

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This paper is an examination of the theory of discrete complex analysis that arises from the framework of a planar cell complex. Construction of this theory is largely integration-based. A combination of two cell complexes, the double and its associated diamond complex, allows for the development of a discrete Cauchy Integral Formula.
Master of Science
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Al-Lawati, Nabila J. M. "Analysis of complex antibiotics." Thesis, University of Brighton, 2012. https://research.brighton.ac.uk/en/studentTheses/6af329d7-a44a-4c05-bd26-5664eddcbb1c.

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The emergence of multidrug resistant Gram-negative bacteria such as Pseudomonas aeruginosa and Acinetobacter baumannii has been recognized worldwide and some clinical isolates of these bacteria are now resistant to most of the antibiotics currently available. Unfortunately, there are at present not enough new antimicrobial drugs being produced by the pharmaceutical industry to keep pace with the continuing development of antibiotic resistance. Colistin is an old antibiotic and in the form of colistin methanesulphonate sodium (CMS) has re-emerged as a major treatment for burn patients colonised with Acinetobacter baumannii. However, this antibiotic can lead to profound toxicity and for this reason the blood levels of CMS should be carefully monitored. Unfortunately the methods available for measuring it in serum are not robust and are not able to differentiate between the two forms of colistin i.e. colistin sulphate (CLS) and CMS. In this study the chemical (Thin Layer Chromatography and High Performance Liquid Chromatography) and microbiological methods for CLS and CMS analysis were investigated to develop a methodology for reproducible quantification of CLS and CMS in water or serum. Since CMS in aqueous solution has the potential to hydrolyze to produce a complex mixture of colistin sulphomethylated derivatives as well as colistin base, the optimized chemical and microbiological methods were used to determine the degradation of CLS or CMS in aqueous solution and serum. The bacteriostatic and bactericidal activity of CLS and CMS were probed by calculations of minimum inhibitory concentrations and time survivor studies. Depending on their concentrations, both antibiotics were found to exhibit bacteriostatic and bactericidal properties against a range of Gram-negative bacteria. Membrane damage caused by both forms of colistin was investigated using Acinetobacter lwoffii R46383 anddetennining intracellular potassium leakage and 260nm absorbing materials leakage. CLS was shown to cause substantial membrane damage, indicated by rapid, gross potassium leakage, while the effect of CMS on the membrane appeared to be more subtle, with cells exhibiting a more concentration dependent loss of potassium. Adsorption isotherms ofCLS gave results that were indicative of high affmity isotherm (H- shape), while adsorption isotherms of CMS were indicative of co-operative sorption (S- shape). Investigations into CLS and CMS cytotoxicity were performed using normal rat kidney (NRK-52E) cell line; the investigations revealed that neither forms of colistin has a major adverse effect on the rat renal cells even at concentrations higher than the therapeutic doses.
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Alotaibi, Abdullah Mathker. "Complex analysis using Nevanlinna theory." Thesis, University of Nottingham, 2005. http://eprints.nottingham.ac.uk/13793/.

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In this thesis, we mainly worked in the following areas: value distributions of meromorphic functions, normal families, Bank-Laine functions and complex oscillation theory. In the first chapter we will give an introduction to those areas and some related topics that are needed. In Chapter 2 we will prove that for a meromorphic function f and a positive integer k, the function af(f(k))n -1, n ≥ 2, has infinitely many zeros and then we will prove that it is still true when we replace f(k) by a differential polynomial. In Chapter 3 we will prove that for a merornorphic function f and a positive integer k, the function af f(k) -1 with N1(r, 1/f^((k)) ) = S(r, f) has infinitely many zeros and then we will prove that it is still true when we replace f(k) by a differential polynomial. In Chapter 4 we will apply Bloch's Principle to prove that a family of functions meromorphic on the unit disc B(0, 1), such that f(f1)m≠ 1, m ≠ 2, is normal. Also we will prove that a family of functions meromorphic on B(0,1), such that each f ≠ 0 and f(f(k))m ,k, m ∈N omits the value 1, is normal. In the fifth chapter we will generalise Theorem 5.1.1 for a sequence of distinct complex numbers instead of a sequence of real numbers. Also, we will get very nice new results on Bank-Laine functions and Bank-Laine sequences. In the last chapter we will work on the relationship between the order of growth of A and the exponent of convergence of the solutions y(k) +Ay =0, where A is a transcendental entire function with ρ(A) < 1/2.
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Boyer, Lee Christian. "Analysis of a Bap31 complex." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape2/PQDD_0035/MQ64325.pdf.

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Alexandersson, Per. "Combinatorial Methods in Complex Analysis." Doctoral thesis, Stockholms universitet, Matematiska institutionen, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-88808.

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The theme of this thesis is combinatorics, complex analysis and algebraic geometry. The thesis consists of six articles divided into four parts. Part A: Spectral properties of the Schrödinger equation This part consists of Papers I-II, where we study a univariate Schrödinger equation with a complex polynomial potential. We prove that the set of polynomial potentials that admit solutions to the Schrödingerequation is connected, under certain boundary conditions. We also study a similar result for even polynomial potentials, where a similar result is obtained. Part B: Graph monomials and sums of squares In this part, consisting of Paper III, we study natural bases for the space of homogeneous, symmetric and translation-invariant polynomials in terms of multigraphs. We find all multigraphs with at most six edges that give rise to non-negative polynomials, and which of these that can be expressed as a sum of squares. Such polynomials appear naturally in connection to expressing certain non-negative polynomials as sums of squares. Part C: Eigenvalue asymptotics of banded Toeplitz matrices This part consists of Papers IV-V. We give a new and generalized proof of a theorem by P. Schmidt and F. Spitzer concerning asymptotics of eigenvalues of Toeplitz matrices. We also generalize the notion of eigenvalues to rectangular matrices, and partially prove the a multivariate analogue of the above. Part D: Stretched Schur polynomials This part consists of Paper VI, where we give a combinatorial proof that certain sequences of skew Schur polynomials satisfy linear recurrences with polynomial coefficients.

At the time of doctoral defence the following papers were unpublished and had a status as follows: Paper 5: Manuscript; Paper 6: Manuscript

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ARGENTO, CLAUDIO. "Complex networks: analysis and control." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2008. http://hdl.handle.net/2108/596.

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The introduction provides an overview on complex networks, trying to investigate what apparently different kinds of networks have in common. Some statistical properties are illustrated and a simulation tool for the analysis of complex networks is presented. A weighted directed random graph is used as network model. The graph contains a fixed number N of nodes and a variable number of edges: in particular, each edge is present with probability p. Some statistical properties (such as strong connection, global and local efficiency, cost, etc) are computed and their reliance on probability p is studied. Some probability distributions (such as shortest path, edge/node load) are also drawn and, by using the method of stages, the best fitting curves are computed. The way as parameters characterizing such curves change when p varies is also investigated. The general structure of the proposed fitting technique allows to model several aspects of complex networks and makes possible its use in many different fields. Finally, the tracking control problem of linear time invariant (LTI) systems when the plant and the controller belong to the same network is considered. Time delays can degrade significantly the performance of a networked control system, eventually leading to instability. The problem characterized by constant and known network delays is analytically examined, showing how to construct a plant state predictor in order to compensate the time delays between the plant and the controller, so to allow the tracking of a reference signal. Computer simulations illustrate the effectiveness of the proposed technique, also when time delays slightly vary around a mean value.
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Possamai, Lino <1978&gt. "Multidimensional analysis of complex networks." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5389/1/possamai_lino_tesi.pdf.

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Complex Networks analysis turn out to be a very promising field of research, testified by many research projects and works that span different fields. Those analysis have been usually focused on characterize a single aspect of the system and a study that considers many informative axes along with a network evolve is lacking. We propose a new multidimensional analysis that is able to inspect networks in the two most important dimensions, space and time. To achieve this goal, we studied them singularly and investigated how the variation of the constituting parameters drives changes to the network as a whole. By focusing on space dimension, we characterized spatial alteration in terms of abstraction levels. We proposed a novel algorithm that, by applying a fuzziness function, can reconstruct networks under different level of details. We verified that statistical indicators depend strongly on the granularity with which a system is described and on the class of networks. We keep fixed the space axes and we isolated the dynamics behind networks evolution process. We detected new instincts that trigger social networks utilization and spread the adoption of novel communities. We formalized this enhanced social network evolution by adopting special nodes (called sirens) that, thanks to their ability to attract new links, were able to construct efficient connection patterns. We simulated the dynamics of the system by considering three well-known growth models. Applying this framework to real and synthetic networks, we showed that the sirens, even when used for a limited time span, effectively shrink the time needed to get a network in mature state. In order to provide a concrete context of our findings, we formalized the cost of setting up such enhancement and provided the best combinations of system's parameters, such as number of sirens, time span of utilization and attractiveness.
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Possamai, Lino <1978&gt. "Multidimensional analysis of complex networks." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5389/.

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Complex Networks analysis turn out to be a very promising field of research, testified by many research projects and works that span different fields. Those analysis have been usually focused on characterize a single aspect of the system and a study that considers many informative axes along with a network evolve is lacking. We propose a new multidimensional analysis that is able to inspect networks in the two most important dimensions, space and time. To achieve this goal, we studied them singularly and investigated how the variation of the constituting parameters drives changes to the network as a whole. By focusing on space dimension, we characterized spatial alteration in terms of abstraction levels. We proposed a novel algorithm that, by applying a fuzziness function, can reconstruct networks under different level of details. We verified that statistical indicators depend strongly on the granularity with which a system is described and on the class of networks. We keep fixed the space axes and we isolated the dynamics behind networks evolution process. We detected new instincts that trigger social networks utilization and spread the adoption of novel communities. We formalized this enhanced social network evolution by adopting special nodes (called sirens) that, thanks to their ability to attract new links, were able to construct efficient connection patterns. We simulated the dynamics of the system by considering three well-known growth models. Applying this framework to real and synthetic networks, we showed that the sirens, even when used for a limited time span, effectively shrink the time needed to get a network in mature state. In order to provide a concrete context of our findings, we formalized the cost of setting up such enhancement and provided the best combinations of system's parameters, such as number of sirens, time span of utilization and attractiveness.
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Memon, Sohail Ahmed. "Mathematical modelling of complex dynamics." Thesis, University of Central Lancashire, 2017. http://clok.uclan.ac.uk/20497/.

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Soft materials have a wide range of applications, which include the production of masks for nano–lithography, the separation of membranes with nano–pores, and the preparation of nano–size structures for electronic devices. Self–organization in soft matter is a primary mechanism for the formation of structure. Block copolymers are long chain molecules composed of several different polymer blocks covalently bonded into a single macromolecule, which belong to an important class of soft materials which can self–assemble into different nano–structures due to their natural ability to microphase separate. Experimental and theoretical studies of block copolymers are quite challenging and, without computer simulations, it is difficult and problematic to analyse modern experiments. The Cell Dynamics Simulation (CDS) technique is a fast and accurate computational technique, which has been used to investigate block copolymers. The stability has been analysed by making use of different discrete Laplacian operators using well–chosen time steps in CDS. This analysis offers stability conditions for phase–field, based on the Cahn–Hilliard Cook (CHC) equations of which CDS is the finite difference approximation. To overcome grid related artefacts (discretization errors) in the computational grid, the study has been done for employing an isotropic Laplacian operator in the CDS framework. Several 2D and 3D discrete Laplacians have been quantitatively compared for their isotropy. The novel 2D 9–point BV(D2Q9) isotropic stencil operators have been derived from the B.A.C. van Vlimmeren method and their isotropy measure has been determined optimally better than other exiting 2D 9–point discrete Laplacian operators. Overall, the stencils in 9–point family Laplacians in 2D and the 19–point stencil operators in 3D have been found to be optimal in terms of isotropy and time step stability. Considerable implementation of Laplacians with good isotropy has played an important role in achieving a proper structure factor in modelling methods of block copolymers. The novel models have been developed by implementing CDS via more stable implicit methods, including backward Euler, Crank–Nicolson (CN) and Alternating Direction Implicit (ADI) methods. The CN scheme were implemented for both one order and two order parameter systems in CDS and successful results were obtained compared to forward Euler method. Due to the implementation of implicit methods, the CDS has achieved second–order accuracy both in time and space and it has become stronger, robust and more stable technique for simulation of the phase–separation phenomena in soft materials.
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Books on the topic "Complex analysis"

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1930-, Newman Donald J., ed. Complex analysis. 3rd ed. New York: Springer, 2010.

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Lang, Serge. Complex Analysis. New York, NY: Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4757-1871-3.

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Hersch, Joseph, and Alfred Huber, eds. Complex Analysis. Basel: Birkhäuser Basel, 1988. http://dx.doi.org/10.1007/978-3-0348-9158-5.

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Gilman, Jane P., Irwin Kra, and Rubí E. Rodríguez. Complex Analysis. New York, NY: Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-74715-6.

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Bak, Joseph, and Donald J. Newman. Complex Analysis. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7288-0.

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Rodríguez, Rubí E., Irwin Kra, and Jane P. Gilman. Complex Analysis. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-7323-8.

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Lang, Serge. Complex Analysis. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4757-3083-8.

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Krantz, Steven G., ed. Complex Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/bfb0097291.

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Stalker, John. Complex Analysis. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-0-8176-4919-7.

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Lang, Serge. Complex Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-59273-7.

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Book chapters on the topic "Complex analysis"

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Mel’nyk, Taras. "Complex Numbers and Complex Plane." In Complex Analysis, 1–19. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-39615-1_1.

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Andreotti, Aldo. "Nine Lectures on Comples Analysis." In Complex Analysis, 1–175. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10964-5_1.

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Kohn, J. J. "Propagation of Singularities for the Cauchy-Riemann Equations." In Complex Analysis, 177–280. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10964-5_2.

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Siu, Yum-Tong. "The Mixed Case of the Direct Image Theorem and its Applications." In Complex Analysis, 281–463. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10964-5_3.

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Stalker, John. "Special Functions." In Complex Analysis, 1–76. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-0-8176-4919-7_1.

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Stalker, John. "Analytic Functions." In Complex Analysis, 77–147. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-0-8176-4919-7_2.

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Stalker, John. "Elliptic and Modular Functions." In Complex Analysis, 149–99. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-0-8176-4919-7_3.

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Stalker, John. "A Quick Review of Real Analysis." In Complex Analysis, 201–20. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-0-8176-4919-7_4.

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Freitag, Eberhard, and Rolf Busam. "Introduction." In Complex Analysis, 1–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-93983-2_1.

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Freitag, Eberhard, and Rolf Busam. "Differential Calculus in the Complex Plane C." In Complex Analysis, 1–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-93983-2_2.

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Conference papers on the topic "Complex analysis"

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Chao, Chien-Chi, Michio Tokuyama, Irwin Oppenheim, and Hideya Nishiyama. "Linear Analysis for a Finite Liquid Jet." In COMPLEX SYSTEMS: 5th International Workshop on Complex Systems. AIP, 2008. http://dx.doi.org/10.1063/1.2897872.

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Monsoriu, J. A. "Scattering analysis of inhomogeneously dielectric-filled cavities." In Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386868.

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Uchida, N., Gary S. Grest, Ralf Everaers, Michio Tokuyama, Irwin Oppenheim, and Hideya Nishiyama. "Viscoelasticity of Entangled Semiflexible Polymers via Primitive Path Analysis." In COMPLEX SYSTEMS: 5th International Workshop on Complex Systems. AIP, 2008. http://dx.doi.org/10.1063/1.2897854.

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Noguchi, J., H. Fujimoto, J. Kajiwara, and T. Ohsawa. "Geometric Complex Analysis." In Third International Research Institute of Mathematical Society of Japan. WORLD SCIENTIFIC, 1996. http://dx.doi.org/10.1142/9789814532143.

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Zeitlin, M. "Multiscale analysis of nonlinear accelerator beam physics problems." In Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386875.

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El‐Tawil, Magdy A. "On Stochastic Nonlinear Schrodinger Equations under Stochastic Complex Non‐Homogeneity and Complex Initial Conditions." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2008. American Institute of Physics, 2008. http://dx.doi.org/10.1063/1.2991101.

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Ohta, Noriyoshi, Kohki Ono, Masako Takasu, Hidemitsu Furukawa, Michio Tokuyama, Irwin Oppenheim, and Hideya Nishiyama. "Structure Analysis of Jungle-Gym-Type Gels by Brownian Dynamics Simulation." In COMPLEX SYSTEMS: 5th International Workshop on Complex Systems. AIP, 2008. http://dx.doi.org/10.1063/1.2897849.

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Ferreira, Milton. "Complex dilations, shearings, and rotations." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756119.

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Finta, Béla, Theodore E. Simos, George Psihoyios, Ch Tsitouras, and Zacharias Anastassi. "Complex Overdetermined Infinite Linear Systems." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3636922.

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Symons, John F., Ali Sanayei, Theodore E. Simos, George Psihoyios, Ch Tsitouras, and Zacharias Anastassi. "Six Questions on Complex Systems." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2011: International Conference on Numerical Analysis and Applied Mathematics. AIP, 2011. http://dx.doi.org/10.1063/1.3637767.

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Reports on the topic "Complex analysis"

1

O'Brien, Sean. Analysis of Complex Threats II. Fort Belvoir, VA: Defense Technical Information Center, June 2001. http://dx.doi.org/10.21236/ada399196.

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Bundy, Judy, and Kumud Mathur. Analysis of Complex Threats - Pacific. Fort Belvoir, VA: Defense Technical Information Center, November 2000. http://dx.doi.org/10.21236/ada399237.

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Blowers, Misty K. Data Analysis of Complex Systems. Fort Belvoir, VA: Defense Technical Information Center, June 2011. http://dx.doi.org/10.21236/ada546141.

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Vorobeychik, Yevgeniy. Strategic analysis of complex security scenarios. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1051713.

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Williams, J. F. Waste analysis plan for T Plant Complex. Office of Scientific and Technical Information (OSTI), April 1996. http://dx.doi.org/10.2172/344982.

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Colbaugh, Richard, Kristin Glass, and Gerald Willard. Analysis of complex networks using aggressive abstraction. Office of Scientific and Technical Information (OSTI), October 2008. http://dx.doi.org/10.2172/1145172.

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ELLEFSON, M. D. Central Waste Complex (CWC) Waste Analysis Plan. Office of Scientific and Technical Information (OSTI), December 1999. http://dx.doi.org/10.2172/798803.

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ELLEFSON, M. D. Central Waste Complex (CWC) Waste Analysis Plan. Office of Scientific and Technical Information (OSTI), January 2000. http://dx.doi.org/10.2172/801182.

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Misra, Vedant, Dion Harmon, Blake Stacey, Joseph Ornstein, and Yaneer Bar-Yam. Vulnerability Analysis of High Dimensional Complex Systems. Fort Belvoir, VA: Defense Technical Information Center, April 2010. http://dx.doi.org/10.21236/ada535621.

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Irwin, R. M. Fire hazards analysis of central waste complex. Office of Scientific and Technical Information (OSTI), May 1996. http://dx.doi.org/10.2172/662049.

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