Books on the topic 'Directional derivatives'

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1

Liren, Huang. Second-order directional derivatives in nonsmooth optimization. Hong Kong: Chinese University Press, 1995.

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2

Lan, C. Edward. VORSTAB, a computer program for calculating lateral-directional stability derivatives with vortex flow effect. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1985.

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3

Iliff, Kenneth W. X-29A lateral-directional stability and control derivatives extracted from high-angle-of-attack flight data. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1996.

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4

Iliff, Kenneth W. X-29A lateral-directional stability and control derivatives extracted from high-angle-of-attack flight data. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1996.

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5

Iliff, Kenneth W. X-29A lateral-directional stability and control derivatives extracted from high-angle-of-attack flight data. [Washington, D.C]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program Center, 1996.

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6

Iliff, Kenneth W. X-29A lateral-directional stability and control derivatives extracted from high-angle-of-attack flight data. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1996.

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7

Iliff, Kenneth W. X-29A lateral-directional stability and control derivatives extracted from high-angle-of-attack flight data. Washington, D.C: National Aeronautics and Space Administration, 1996.

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8

Iliff, Kenneth W. Extraction of lateral-directional stability and control derivatives for the basic F-18 aircraft at high angles of attack. [Washington, D.C]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program Center, 1997.

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9

Iliff, Kenneth W. Extraction of lateral-directional stability and control derivatives for the basic F-18 aircraft at high angles of attack. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1997.

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10

Iliff, Kenneth W. Extraction of lateral-directional stability and control derivatives for the basic F-18 aircraft at high angles of attack. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1997.

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11

Iliff, Kenneth W. Extraction of lateral-directional stability and control derivatives for the basic F-18 aircraft at high angles of attack. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1997.

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12

Iliff, Kenneth W. Extraction of lateral-directional stability and control derivatives for the basic F-18 aircraft at high angles of attack. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1997.

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13

Iliff, Kenneth W. Flight-determined, subsonic, lateral-directional stability and control derivatives of the thrust-vectoring F-18 high angle of attack research vehicle (HARV), and comparisons to the basic F-18 and predicted derivatives. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1999.

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14

Evsin, Maksim, and Valeriy Spesivcev. Financial markets. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1045026.

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Abstract:
Tutorial on the discipline "Financial markets" covers all the course topics provided by the curriculum: the role and function of financial markets in the economy; securities market; the derivatives market; institutions of financial markets. Contains a large number of modern examples and test tasks of different difficulty options that will allow to generate the required Federal state educational standards of professional competence. Meets the requirements of Federal state educational standards of higher education of the last generation. For students enrolled in the direction 38.03.01 "Economics", it may be useful to undergraduate students of other areas.
15

Manichev, Vladimir, Valentina Glazkova, and Кузьмина Анастасия. Numerical methods. The authentic and exact solution of the differential and algebraic equations in SAE systems of SAPR. ru: INFRA-M Academic Publishing LLC., 2016. http://dx.doi.org/10.12737/13138.

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In the manual classical numerical methods are considered and algorithms for the decision of systems of the ordinary differential equations (ODE), nonlinear and linear algebraic equations (NAU and LAU), and also ways of ensuring reliability and demanded accuracy of results of the decision. Ideas, which still not are stated are reflected in textbooks on calculus mathematics, namely: decision systems the ODE without reduction to a normal form of Cauchy resolved rather derivative, and refusal from any numerical an equivalent - nykh of transformations of the initial equations of mathematical models and is- the hodnykh of data because such transformations can change properties of models at a variation of coefficients in corresponding urav- neniyakh. It is intended for students, graduate students and teachers of higher education institutions in the direction of preparation "Informatics and computer facilities". The grant will also be useful for engineers and scientists on the corresponding specialties.
16

Ng, Linda Fung-yee. Second-order Directional Derivatives. Columbia University Press, 1995.

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17

Barnes, Christopher J., Ehsan Nikbakht, and Andrew C. Spieler. Global Derivatives Hedge Fund Strategies. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190607371.003.0013.

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Hedge funds represent discretionary pools of capital that have very flexible investment strategies. Some funds allocate capital to derivative-based strategies on a global basis, loosely referred to as global macro funds. These investments are typically high-level, directional views on exchange rates, volatility, interest rates and other macro-related factors. In short, this “go anywhere” strategy often uses futures, forwards, and options on equities as well as interest rates and currencies. The investment manager employs top-down investments by placing high-level bets at the country level as well as taking positions in stock, currency, and derivatives on particular countries based on economic views. Many global macro funds increasingly use systematic managed futures, although fewer funds follow a discretionary managed futures strategy.
18

VORSTAB, a computer program for calculating lateral-directional stability derivatives with vortex flow effect. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1985.

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19

Mann, Peter. Matrices. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198822370.003.0031.

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This chapter looks at the calculus of a function of two or more variables, which is the subject of partial differentiation. The partial derivative of a function is the rate of change of the function with respect to the distance in the direction of a particular coordinate axis and is symbolised with the sign ∂. The chapter spends time on the implicit function theorem, since it is relied upon heavily elsewhere in the text. Lagrange multipliers are used to solve constrained optimisation problems. Topics include critical points, the product rule, the chain rule, directional derivatives, hypersurfaces and Taylor’s theorem. In addition, the chapter discusses Jacobian matrices, the inverse function theorem, gradients, level sets and Hessian matrices.
20

Charles, Wang Kon-Sheng, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. X-29A lateral-directional stability and control derivatives extracted from high-angle-of-attack flight data. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1996.

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21

Isett, Philip. Bounds for the Corrections. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691174822.003.0022.

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This chapter derives the bounds for the correction terms, starting with bounds for the velocity correction. Based on V of the form V = Δ‎ x W, it introduces a proposition for estimating the spatial derivatives of W. Since the number of Wsubscript I supported at any given region of ℝ x ³ is bounded by a universal constant, it suffices to estimate Wsubscript I uniformly in I. For an individual wave, it is easy to see that the estimate will hold. During repeated differentiation, the derivative hits either the oscillatory factor, the phase direction, or the amplitude wsubscript I or one of its derivatives. In any case, the largest cost happens when differentiating the phase function. The chapter also gives estimates for derivatives of the coarse scale material derivative of W and concludes with bounds for the pressure correction.
22

Charles, Wang Kon-Sheng, and Hugh L. Dryden Flight Research Center., eds. Flight-determined, subsonic, lateral-directional stability and control derivatives of the thrust-vectoring F-18 high angle of attack research vehicle (HARV), and comparisons to the basic F-18 and predicted derivates. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1999.

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23

Charles, Wang Kon-Sheng, and Hugh L. Dryden Flight Research Center., eds. Flight-determined, subsonic, lateral-directional stability and control derivatives of the thrust-vectoring F-18 high angle of attack research vehicle (HARV), and comparisons to the basic F-18 and predicted derivates. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1999.

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24

Charles, Wang Kon-Sheng, and Hugh L. Dryden Flight Research Center., eds. Flight-determined, subsonic, lateral-directional stability and control derivatives of the thrust-vectoring F-18 high angle of attack research vehicle (HARV), and comparisons to the basic F-18 and predicted derivates. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1999.

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25

Tunaru, Radu S. Conclusions and Where Next. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198742920.003.0009.

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This chapter gathers the main findings in the book and highlights the principal ideas surrounding real-estate derivatives as an emerging necessary asset class. It also sketches future directions of research in both academic and practitioner terms. In addition, it gives some indication of how real-estate derivatives may become crucial in relation to stress testing for the top tier banks and financial institutions in the near future.
26

Mapping the foot of the continental slope with spline-smoothed data using the second derivative in the gradient direction. Herndon, Va: U.S. Dept. of the Interior, Minerals Management Service, Resource Evaluation Division, 1998.

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27

Colin, Bamford. 9 Credit Support in Financial Markets. Oxford University Press, 2015. http://dx.doi.org/10.1093/law/9780198722113.003.0009.

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This chapter brings together the numerous mechanisms and ideas that have the effect of supporting a payment obligation, in the sense that the use of one (or more) of these concepts makes it more likely that the obligation will be fulfilled. This objective can be achieved in a number of ways: a third party may accept liability alongside the obligor, as in the case of someone who assumes a joint liability; or the supporter may take a secondary role as a guarantor. The chapter then looks at the forms of support that are available on a commercial basis, in particular performance bonds and export credit facilities. It considers the mechanisms that provide support by a more indirect route, such as comfort letters and credit derivatives. It concludes by examining a form of support that reaches its destination from the opposite direction: subordination, both in the form of general subordination of the creditor to the claims of all other creditors, and as subordination to the claims of a particular creditor.

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