Key Highlights of 53rd GST Council Meeting
The 53rd GST Council Meeting, chaired by Union Finance Minister Nirmala Sitharaman on June 22, 2024, introduced significant changes including GST rate adjustments, compliance relaxations, and trade facilitation measures.
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Key Highlights of 53rd GST Council Meeting
The 53rd GST Council Meeting, chaired by Union Finance Minister Nirmala Sitharaman on June 22, 2024, introduced significant changes including GST rate adjustments, compliance relaxations, and trade facilitation measures.
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Presentation by National Agricultural Marketing Council on Broiler Industry Competitiveness
This presentation by the National Agricultural Marketing Council delves into the competitiveness of the broiler industry in South Africa. It covers strategic objectives, legislative mandates, economic impacts, and policy analyses related to the broiler value chain. The study conducted by NAMC and BF
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Submodular Maximization Algorithms Overview
This article discusses deterministic and combinatorial algorithms for submodular maximization, focusing on their applications in various fields such as combinatorics, machine learning, image processing, and algorithmic game theory. It covers key concepts like submodularity, examples of submodular op
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Advanced Techniques in Contention Resolution Schemes
Explore the cutting-edge approaches in contention resolution schemes through submodular function maximization, multilinear relaxation, and stochastic probing. Understand constraints and relaxations involved, with a focus on balanced CRSs and approximation algorithms for maximizing weight functions.
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Discrete Optimization Methods Overview
Discrete optimization methods, such as total enumeration and constraint relaxations, are valuable techniques for solving problems with discrete decision variables. Total enumeration involves exhaustively trying all possibilities to find optimal solutions, while constraint relaxations offer a more tr
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LP-Based Approximation Algorithms for Multi-Vehicle Minimum Latency Problems
The research discusses LP-based approximation algorithms for solving Multi-Vehicle Minimum Latency Problems, focusing on minimizing waiting times for vehicles visiting clients starting from a depot. Various cases, including single- and multi-depot scenarios, are explored, and significant improvement
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