Integral Inequalities and Generalized Convexity

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A01=Jaya Bisht
A01=Nidhi Sharma
A01=Shashi Kant Mishra
advanced calculus applications
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Author_Jaya Bisht
Author_Nidhi Sharma
Author_Shashi Kant Mishra
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Average Metabolic Rate
Borel Probability Measures
Category1=Non-Fiction
Category=PBD
Category=PBF
Category=PBKA
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Continuous Convex Function
Convex Function
Convex Functions
Convex Set
Convex Stochastic Processes
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Delta Derivative
Discrete Fractional Calculus
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Fractional Calculus
Fractional Integrals
Generalized Convexity
generalized convexity in applied mathematics
Hermite-Hadamard Inequalities
higher order inequalities
Integral Inequalities
Interval Arithmetic
interval-valued functions
Invex Functions
Jensen's Inequality
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Left Dense Point
mathematical analysis
multidimensional stochastic processes
Nonempty Convex Set
Nonlinear Averaging
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Positive Continuous Functions
Positive Semidefinite Hermitian Matrix
Preinvex Functions
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Quadrature Rules
Recurrent Neural Networks
Riemann Liouville Fractional Integrals
softlaunch
stochastic optimization
Strongly Convex
Time Scale Calculus
Time Scales Approach

Product details

  • ISBN 9781032526324
  • Weight: 920g
  • Dimensions: 156 x 234mm
  • Publication Date: 18 Sep 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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The book covers several new research findings in the area of generalized convexity and integral inequalities. Integral inequalities using various type of generalized convex functions are applicable in many branches of mathematics such as mathematical analysis, fractional calculus, and discrete fractional calculus.

The book contains integral inequalities of Hermite-Hadamard type, Hermite- Hadamard-Fejer type and majorization type for the generalized strongly convex functions. It presents Hermite-Hadamard type inequalities for functions defined on Time scales. Further, it provides the generalization and extensions of the concept of preinvexity for interval-valued functions and stochastic processes, and give Hermite-Hadamard type and Ostrowski type inequalities for these functions. These integral inequalities are utilized in numerous areas for the boundedness of generalized convex functions.

Features:

  • Covers Interval-valued calculus, Time scale calculus, Stochastic processes – all in one single book
  • Numerous examples to validate results
  • Provides an overview of the current state of integral inequalities and convexity for a much wider audience, including practitioners
  • Applications of some special means of real numbers are also discussed

The book is ideal for anyone teaching or attending courses in integral inequalities along with researchers in this area.

Shashi Kant Mishra Ph.D., D.Sc. is Professor at the Department of Mathematics, Institute of Science, Banaras Hindu University, Varanasi, India, with over 24 years of teaching experience. He has authored eight books, including textbooks and monographs, and has been on the editorial boards of several important international journals. He has guest edited special issues of the Journal of Global Optimization; Optimization Letters (both Springer Nature) and Optimization (Taylor & Francis). He has received INSA Teacher Award 2020 from Indian National Science Academy, New Delhi and DST Fast Track Fellow 2001 from Ministry of Science and Technology, Government of India. Prof. Mishra has published over 203 research articles in reputed international journals and supervised 21 Ph.D. students. He has visited around 15 institutes/ universities in countries such as France, Canada, Italy, Spain, Japan, Taiwan, China, Singapore, Vietnam, and Kuwait. His current research interest includes mathematical programming with equilibrium, vanishing and switching constraints, invexity, multiobjective optimization, nonlinear programming, linear programming, variational inequalities, generalized convexity, integral inequalities, global optimization, nonsmooth analysis, convex optimization, nonlinear optimization, and numerical optimization.

Nidhi Sharma is Fellow of the Council of Scientific Industrial Research (CSIR) at the Department of Mathematics, Institute of Science, Varanasi, India. She received the M.Sc. degree in Mathematics from Banaras Hindu University, Varanasi, India. She is working on generalized convexity and integral inequalities under the supervision of Prof. S. K. Mishra. Her current research interests include integral inequalities, generalized convexities, set valued functions, and stochastic process.

Jaya Bisht is DST INSPIRE Fellow (Senior Research Fellow) at the Department of Mathematics, Institute of Science, Banaras Hindu University, Varanasi, India. She received BSc. and M.Sc. degree in Mathematics from Hemwati Nandan Bahuguna Garhwal University (Central University), Srinagar, India. She is awarded Junior Research Fellowship (JRF) from Human Resource Development Group of Council of Scientific Industrial Research (HRD-CSIR), Government of India. Her current research interest includes integral inequalities, generalized convexities, Set valued functions, and stochastic process.

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