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Convex Optimization—Theory, Algorithms and Applications RTCOTAA-2020, Patna, India, October 29–31 /

This volume includes chapters on topics presented at the conference on Recent Trends in Convex Optimization: Theory, Algorithms and Applications (RTCOTAA-2020), held at the Department of Mathematics, Indian Institute of Technology Patna, Bihar, India, from 29–31 October 2020. It discusses a comprehe...

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Gespeichert in:
Bibliographische Detailangaben
Körperschaft: SpringerLink (Online service)
Weitere Verfasser: Upadhyay, Balendu Bhooshan (HerausgeberIn), Mishra, Shashi Kant (HerausgeberIn), Maréchal, Pierre (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Ausgabe:1st ed. 2025.
Schriftenreihe:Springer Proceedings in Mathematics & Statistics, 476
Schlagworte:
Mathematical optimization.
Algorithms.
Mathematics.
Optimization.
Applications of Mathematics.
Online-Zugang:https://doi.org/10.1007/978-981-97-8907-8
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Inhaltsangabe:
  • P. Marechal, Elements of Convex Analysis
  • T. Antczak, Solution Concepts in Vector Optimization – an Overview
  • J.-P. Crouzeix, Generalized Convexity and Generalized Monotonicity
  • N. Dinh, D. H. Long, A Perturbation Approach to Vector Optimization Problems
  • K. Som, V. Vetrivel, Results on Existence of l-Minimal and u-Minimal Solutions in Set-Valued Optimization: a Brief Survey
  • Q. H. Ansari, N. Hussain, Pradeep Kumar Sharma, Scalarization for Set Optimization in Vector Spaces
  • A. K. Das, A. Dutta, R. Jana, Complementarity Problems and Its Relation with Optimization Theory
  • B. Kohli, Convexificators and Their Role in Nonsmooth Optimization
  • S. Treanta, N. Abdulaleem, On Variational Derivative and Controlled Variational Inequalities
  • L. T. Tung, Tangential Subdifferential and Its Role in Optimization
  • K. Som, J. Dutta, Limiting subdifferential and its role in optimization
  • V. Laha, H. N. Singh, S. K. Mishra, On Quasidifferentiable Mathematical Programs with Vanishing Constraints
  • N. Kanzi, A. Kabgani, G. Caristi, D. Barilla, On Nonsmooth Semi-Infinite Programming Problems
  • P. Marechal, Entropy Optimization
  • S. K. Neogy, G. Singh, Lemke’s Algorithm and a Class of Convex Optimization Problem
  • S. K. Neogy, R. Chakravorty, S. Ghosh, Interior Point Methods for Some Special Classes of Optimization Problems
  • G. Panda, M. A. T. Ansary, Review on Line Search Techniques for Nonlinear Multi-objective Optimization Problems
  • K. Kumar, A. Singh, A. Upadhayay, D. Ghosh, An Improved Nonmonotone Quasi-Newton Method for Multiobjective Optimization Problems
  • A. K. Agrawal, S. Yadav, A. Chouksey, A. Ray, Particle Swarm Optimization and Its role in Solving Unconstrained and Constrained Optimization Problems
  • E. Pauwels, Introduction to Optimization for Deep Learning
  • G. Shukla, N. D. Chaturvedi, Optimization in Resource Allocation Network
  • M. Kumar, B. Mishra, N. Deep, A Survey on Optimized Based Image Encryption Techniques
  • U. Asfia and R. Radhakrishnan, Parametrised Maximum Correntropy Estimation for 2D and 3D Angles-Only Target Tracking Problem.

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