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2. NEW GENERALIZATIONS OF SOME IMPORTANT INEQUALITIES FOR SARıKAYA FRACTIONAL INTEGRALS.
- Author
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HEZENCI, FATIH and BUDAK, HUSEYIN
- Subjects
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INTEGERS , *MATHEMATICS , *CONTRACTION operators , *CONVEX functions , *REAL variables - Abstract
In this research paper, we investigate some new identifies for Sarıkaya fractional integrals which introduced by Sarıkaya and Ertugral in [20]. The fractional integral operators also have been applied to Hermite-Hadamard type integral inequalities to provide their generalized properties. Furthermore, as special cases of our main results, we present several known inequalities such as Simpson, Bullen, trapezoid for convex functions. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
3. Fixed Point Theorems for Integral-type Weak-Contraction Mappings in Modular Metric Spaces.
- Author
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Paul, Mithun, Sarkar, Krishnadhan, and Tiwary, Kalishankar
- Subjects
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FIXED point theory , *METRIC spaces , *INTEGERS , *CONVEX functions , *REAL variables - Abstract
In 2013, Azadifar et al. [3] established fixed point result in integral type contraction in modular metric space and 2020, Chaira et al.[11] established some extensions of Fixed Point Theorems for Weak-Contraction Mapping in Partially Ordered Modular Metric Spaces. In this paper we have established some common fixed point results in integral type contractions in modular and convex modular metric spaces. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
4. Sharp weak type estimates for a family of Zygmund bases.
- Author
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Hagelstein, Paul and Stokolos, Alex
- Subjects
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CONVEX functions , *INTEGERS - Abstract
Let \mathcal {B} be the collection of rectangular parallelepipeds in \mathbb {R}^3 whose sides are parallel to the coordinate axes and such that \mathcal {B} consists of parallelepipeds with side lengths of the form s, 2^j s, t, where s, t > 0 and j lies in a nonempty subset S of the integers. In this paper, we prove the following: If S is a finite set, then the associated geometric maximal operator M_\mathcal {B} satisfies the weak type estimate \begin{equation*} \left |\left \{x \in \mathbb {R}^3 : M_{\mathcal {B}}f(x) > \alpha \right \}\right | \leq C \int _{\mathbb {R}^3} \frac {|f|}{\alpha }\left (1 + \log ^+ \frac {|f|}{\alpha }\right)\; \end{equation*} but does not satisfy an estimate of the form \begin{equation*} \left |\left \{x \in \mathbb {R}^3 : M_{\mathcal {B}}f(x) > \alpha \right \}\right | \leq C \int _{\mathbb {R}^3} \phi \left (\frac {|f|}{\alpha }\right) \end{equation*} for any convex increasing function \phi : \mathbb [0, \infty) \rightarrow [0, \infty) satisfying the condition \begin{equation*} \lim _{x \rightarrow \infty }\frac {\phi (x)}{x (\log (1 + x))} = 0. \end{equation*} On the other hand, if S is an infinite set, then the associated geometric maximal operator M_\mathcal {B} satisfies the weak type estimate \begin{equation*} \left |\left \{x \in \mathbb {R}^3 : M_{\mathcal {B}}f(x) > \alpha \right \}\right | \leq C \int _{\mathbb {R}^3} \frac {|f|}{\alpha } \left (1 + \log ^+ \frac {|f|}{\alpha }\right)^{2} \end{equation*} but does not satisfy an estimate of the form \begin{equation*} \left |\left \{x \in \mathbb {R}^3 : M_{\mathcal {B}}f(x) > \alpha \right \}\right | \leq C \int _{\mathbb {R}^3} \phi \left (\frac {|f|}{\alpha }\right) \end{equation*} for any convex increasing function \phi : \mathbb [0, \infty) \rightarrow [0, \infty) satisfying the condition \begin{equation*} \lim _{x \rightarrow \infty }\frac {\phi (x)}{x (\log (1 + x))^2} = 0. \end{equation*} [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
5. A polynomial algorithm for minimizing discrete convic functions in fixed dimension.
- Author
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Veselov, S.I., Gribanov, D.V., Zolotykh, N.Yu., and Chirkov, A.Yu.
- Subjects
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RADIUS (Geometry) , *POLYNOMIALS , *CONVEX functions , *ALGORITHMS , *INTEGERS - Abstract
In Chirkov et al., (2019), classes of conic and discrete conic functions were introduced. In this paper we use the term convic instead conic. The class of convic functions properly includes the classes of convex functions, strictly quasiconvex functions and the class of quasiconvex polynomials. On the other hand, the class of convic functions is properly included in the class of quasiconvex functions. The discrete convic function is a discrete analogue of the convic function. In Chirkov et al., (2019), the lower bound 3 n − 1 log (2 ρ − 1) for the number of calls to the comparison oracle needed to find the minimum of the discrete convic function defined on integer points of some n -dimensional ball with radius ρ was obtained. But the problem of the existence of a polynomial (in log ρ for fixed n) algorithm for minimizing such functions has remained open. In this paper, we answer positively the question of the existence of such an algorithm. Namely, we propose an algorithm for minimizing discrete convic functions that uses 2 O (n 2 log n) log ρ calls to the comparison oracle and has 2 O (n 2 log n) poly (log ρ) bit complexity. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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- View/download PDF
6. Solving combined heat and power economic dispatch using a mixed integer model.
- Author
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Hasanabadi, Reihaneh and Sharifzadeh, Hossein
- Subjects
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INTEGERS , *MATHEMATICAL transformations , *CONVEX functions , *NONLINEAR functions , *POLYHEDRA , *PARTICLE swarm optimization - Abstract
Combined heat and power economic dispatch (CHPED) can enhance energy efficiency compared with conventional economic dispatch (ED). From the optimization standpoint, the CHPED problem usually involves the nonlinear products of heat and power generation variables, nonconvex objective functions, and nonconvex feasible operating range. Thus, its solution method should be able to cope with the problematic nonconvex problem since finding a poor solution for the CHPED implies reducing the maximum achievable efficiency. This paper presents an effective method utilizing several mathematical transformations to cope with the nonlinear, nonconvex terms. The method transforms the nonconvex regions and nonlinear functions into convex polyhedrons and segments. Then, the method formulates the polyhedrons and segments with integer variables, logical constraints, and combinatorial restrictions. Thus, we derive a mixed integer model, which optimization software can better solve. Simulation results illustrate the effectiveness of the method presented and its advantages compared with existing CHPED solution techniques in the literature. [Display omitted] • Transforming nonconvex feasible operating ranges in CHP units into some polyhedrons. • Converting nonconvex cost functions into linear segments. • Presenting a robust solution method for the optimal operation of a CHP. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
7. A new approach for solving mixed integer DC programs using a continuous relaxation with no integrality gap and smoothing techniques.
- Author
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Okuno, Takayuki and Ikebe, Yoshiko
- Subjects
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INTEGERS , *CONVEX functions , *INTEGER programming , *ALGORITHMS , *CONVEX sets - Abstract
In this paper, we consider a class of mixed integer programming problems (MIPs) whose objective functions are DC functions, that is, functions representable in terms of a difference of two convex functions. These MIPs contain a very wide class of computationally difficult non-convex MIPs since the DC functions have powerful expressability. Recently, Maehara, Marumo, and Mutota provided a continuous reformulation without integrality gaps for discrete DC programs having only integral variables. They also presented a new algorithm to solve the reformulated problem. Our aim is to extend their results to MIPs and give two specific algorithms to solve them. First, we propose an algorithm based on DCA originally proposed by Pham Dinh and Le Thi, where convex MIPs are solved iteratively. Next, to handle non-smooth functions efficiently, we incorporate a smoothing technique into the first method. We show that sequences generated by the two methods converge to stationary points under some mild assumptions. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
8. Reduced commutativity of moduli of operators.
- Author
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Pietrzycki, Paweł
- Subjects
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NUMERICAL solutions to operator equations , *NORMAL operators , *CONVEX functions , *MATHEMATICAL equivalence , *SUBNORMAL operators , *GROUP theory , *INTEGERS - Abstract
In this paper, we investigate the question of when the equations A ⁎ s A s = ( A ⁎ A ) s , s ∈ S , where S is a finite set of positive integers, imply the quasinormality or normality of A . In particular, it is proved that if S = { p , m , m + p , n , n + p } , where p ⩾ 1 and 2 ⩽ m < n , then A is quasinormal. Moreover, if A is invertible and S = { m , n , n + m } with m ⩽ n , then A is normal. The case when S = { m , m + n } and A ⁎ n A n ⩽ ( A ⁎ A ) n is also discussed. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
9. Some New Generalized Hermite-Hadamard Inequalities for Generalized Convex Funtions and Applications.
- Author
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Sarikaya, Mehmet Zeki and Budak, Hüseyin
- Subjects
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VARIATIONAL inequalities (Mathematics) , *CONVEX functions , *HADAMARD matrices , *DIFFERENTIABLE functions , *INTEGERS - Abstract
In this paper, some new inequalities for generalized convex functions are obtained. Some applications for some generalized special means are also given. [ABSTRACT FROM AUTHOR]
- Published
- 2018
10. Statistical Approximation by (p, q)-analogue of Bernstein-Stancu Operators.
- Author
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Khan, A. and Sharma, V.
- Subjects
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STOCHASTIC convergence , *INTEGERS , *CONVEX functions - Abstract
In this paper, some approximation properties of (p, q)-analogue of Bernstein-Stancu operators are studied. Rate of statistical convergence by means of modulus of continuity and Lipschitz type maximal functions has been investigated. Monotonicity of (p, q)-Bernstein-Stancu operators and a global approximation theorem by means of Ditzian-Totik modulus of smoothness is established. A quantitative Voronovskaja type theorem is developed for these operators. Furthermore, we show comparisons and some illustrative graphics for the convergence of operators to a function. [ABSTRACT FROM AUTHOR]
- Published
- 2018
11. Characterization of univalent harmonic mappings with integer or half-integer coefficients.
- Author
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Ponnusamy, Saminathan and Qiao, Jinjing
- Subjects
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HARMONIC functions , *MATHEMATICAL mappings , *COEFFICIENTS (Statistics) , *INTEGERS , *CONVEX functions - Abstract
Let denote the usual class of all normalized functions harmonic and sense-preserving univalent on the unit disk . In this article we show that the set, consisting of those mappings f from for which all Taylor coefficients of the analytic and co-analytic parts of f are integers, consists of only nine functions. The second aim is to discuss the set of those functions which have half-integer coefficients. More precisely, we determine the set of univalent harmonic mappings with half-integer coefficients which are convex in real direction or convex in imaginary direction. This work generalizes the recent paper of Hiranuma and Sugawa. One of the examples generated in this way helps to disprove a conjecture of Bharanedhar and Ponnusamy. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
12. The Combination Projection Method for Solving Convex Feasibility Problems.
- Author
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He, Songnian and Dong, Qiao-Li
- Subjects
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MATHEMATICAL combinations , *CONVEX functions , *INTEGERS , *PROBLEM solving , *HILBERT space , *STOCHASTIC convergence - Abstract
In this paper, we propose a new method, which is called the combination projection method (CPM), for solving the convex feasibility problem (CFP) of finding some x * ∈ C : = ∩ i = 1 m { x ∈ H | c i (x) ≤ 0 } , where m is a positive integer, H is a real Hilbert space, and { c i } i = 1 m are convex functions defined as H. The key of the CPM is that, for the current iterate x k , the CPM firstly constructs a new level set H k through a convex combination of some of { c i } i = 1 m in an appropriate way, and then updates the new iterate x k + 1 only by using the projection P H k . We also introduce the combination relaxation projection methods (CRPM) to project onto half-spaces to make CPM easily implementable. The simplicity and easy implementation are two advantages of our methods since only one projection is used in each iteration and the projections are also easy to calculate. The weak convergence theorems are proved and the numerical results show the advantages of our methods. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
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