We show that, even for monotone directionally differentiable Lipschitz functionals on Hilbert spaces, basic concepts of generalized derivatives identify only particular pseudo regular (or metrically regular) situation...
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We show that, even for monotone directionally differentiable Lipschitz functionals on Hilbert spaces, basic concepts of generalized derivatives identify only particular pseudo regular (or metrically regular) situations. Thus, pseudo regularity of (multi-) functions will be investigated by other means, namely in terms of the possible inverse functions. Tn this way, we show how pseudo regularity for the intersection of multifunctions can be directly characterized and estimated under general settings and how contingent and coderivatives may be modified to obtain sharper regularity conditions. Consequences for a concept of stationary points as limits of Ekeland points in nonsmooth optimization will be studied, too.
We construct new fast evaluation algorithms for elementary algebraic and inverse functions based on application of two methods: A.A. Karatsuba's method of 1960 and the author's FEE method of 1990. The computat...
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We construct new fast evaluation algorithms for elementary algebraic and inverse functions based on application of two methods: A.A. Karatsuba's method of 1960 and the author's FEE method of 1990. The computational complexity is close to the optimal. The algorithms admit partial parallelization.
The binaural room impulse responses (BRIRs) can be applied to 3-D sound field reconstruction, virtual reality, noise control, et al. Because the BRIRs are non-minimum phase functions, it is difficult to find the exact...
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The binaural room impulse responses (BRIRs) can be applied to 3-D sound field reconstruction, virtual reality, noise control, et al. Because the BRIRs are non-minimum phase functions, it is difficult to find the exact inverse functions of the BRIRs, especially when there are two or more sources in a reverberant space. In this work, a method was proposed to find the inverse functions of BRIRs with two sound sources in a reverberant space. The concept of time delays and the method of weighted least squares were used to find the causal, however, approximate inverse functions. The accuracy of the inverse functions was first evaluated objectively by a dummy head system. The result shows that the distortion due to crosstalk and room reverberation can be improved by 16similar to18 dB. The inverse functions were also verified subjectively by 20 students. The result of subjective evaluation also shows that the inverse functions can be used successfully to reduce the crosstalk effect and the room reverberation. (C) 2003 Elsevier Ltd. All rights reserved.
The purpose of this paper is to determine the estimates of some coefficient-related problems for the class BT3e of bounded turning functions connected to a three-leaf shaped domain. We calculate the upper bounds of th...
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The purpose of this paper is to determine the estimates of some coefficient-related problems for the class BT3e of bounded turning functions connected to a three-leaf shaped domain. We calculate the upper bounds of the second and third order Hankel determinants with the coefficients of the inverse functions. The bounds are proved to be sharp.
In this paper, we establish the coefficient bodies for a wide class of families of inverse functions. We also completely describe functions that are boundary points of these bodies in small dimensions. We use this to ...
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In this paper, we establish the coefficient bodies for a wide class of families of inverse functions. We also completely describe functions that are boundary points of these bodies in small dimensions. We use this to obtain sharp bounds for the Fekete-Szego functionals over some classes of functions defined by quasi-subordination as well as over classes of their inverses. As a biproduct, we derive a formula for ordinary Bell polynomials that seems to be new.
We derive a formula for an n-th order divided difference of the inverse of a function. The formula has a simple and surprising structure: it is a sum over partitions of a convex polygon with n + 1 vertices. The formul...
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We derive a formula for an n-th order divided difference of the inverse of a function. The formula has a simple and surprising structure: it is a sum over partitions of a convex polygon with n + 1 vertices. The formula provides a numerically stable method of computing divided differences of k-th roots. It also provides a new way of enumerating all partitions of a convex polygon of a certain type, i.e., with a specified number of triangles, quadrilaterals, and so on, which includes Catalan numbers as a special case.
We treat finite oscillatory integrals of the form integral(b)(a) F(x)e(ikG(x)) dx in which both F and G are real on the real line, are analytic over the open integration interval, and may have algebraic singularities ...
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We treat finite oscillatory integrals of the form integral(b)(a) F(x)e(ikG(x)) dx in which both F and G are real on the real line, are analytic over the open integration interval, and may have algebraic singularities at either or both interval end points. For many of these, we establish asymptotic expansions in inverse powers of k. No appeal to the theories of stationary phase or steepest descent is involved. We simply apply theory involving inverse functions and expansions for a Fourier coefficient integral(b)(a) phi(t)e(ikt) dt. To this end, we have assembled several results involving inverse functions. Moreover, we have derived a new asymptotic expansion for this integral, valid when phi(t) = Sigma a(j)t(sigma j), -1 < sigma(1) < sigma(2) < center dot center dot center dot.
When evaluating or simplifying mathematical expressions, the question arises of how to handle inverse functions. The problem is that for a non-injective function f: D -> R, the inverse is generally not a function R...
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ISBN:
(纸本)9783031166815;9783031166808
When evaluating or simplifying mathematical expressions, the question arises of how to handle inverse functions. The problem is that for a non-injective function f: D -> R, the inverse is generally not a function R -> D since there may be multiple pre-images for a given point. The majority of work in this area has fallen into two camps: either the inverse functions, and expressions involving them, are treated as multi-valued objects, or inverse functions are taken to have one principal value. Both these approaches lead to difficulties in evaluation and simplification. It is possible to define the inverse as a function from R to sets of elements of D, but then the algebra of expressions involving the inverse becomes overly complicated. This article extends previous work based on a different approach: instead, the inverse of a function is taken to be a labelled family of functions, with the label specifying the pre-image in the original function's domain. This convention is already used by some authors for logarithms, but it can be applied more generally. In some cases, the branch indices can appear in identities that give more broadly applicable simplification rules. In this paper we survey how this approach can be applied to elementary functions, including the Lambert W.
The problem of pumps connected in parallel can be easily solved by means of graphical method, but it becomes very time consuming when dealing with multiple scenarios. An analytical approach offers the possibility of i...
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The problem of pumps connected in parallel can be easily solved by means of graphical method, but it becomes very time consuming when dealing with multiple scenarios. An analytical approach offers the possibility of implementing a software program that can significantly reduce this time and also adds further features. The mathematical algorithm used is dealing with a non-linear equitation system and with polynomial fitting functions.. Since the presented algorithm assume that every physical measure is expressed in SI units, then the unitless values of flow rates are at least 10(-3) magnitude order compared to other values (pump head for example). This in turn leads to very poor fitting polynomials and the end results are far from the truth. The key for solving this particular issue resides in constructing the inverse functions of H(Q) and at the same time the inverse for the system characteristic. (C) 2013 The Authors. Published by Elsevier Ltd.
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