Convex Optimization-Theory, Algorithms and Applications

Convex Optimization-Theory, Algorithms and Applications

RTCOTAA-2020, Patna, India, October 29-31

Mishra, Shashi Kant; Upadhyay, Balendu Bhooshan; Marechal, Pierre

Springer Verlag, Singapore

05/2025

703

Dura

Inglês

9789819789061

Pré-lançamento - envio 15 a 20 dias após a sua edição

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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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convex optimisation;convex analysis;multiobjective optimisation ;gradient method;set-valued optimization;perturbation method;entropy optimization;Lemke's algorithm;image encryption;deep learning;resource allocation network;RTCOTAA-2020