通过离散信息模型引发不平等的广泛研究

Jatinder Kumar, Om Parkash, Amit Paul, Deep Singh
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引用次数: 0

摘要

不等式哲学在解释数学科学中遇到的众多优化问题方面具有深远的意义。当代计算数学的发展使人们能够计算用不等式表达式表述的巨大实体。信息论中的不等式是由阐明通信理论问题的愿望决定的。为了解决这些问题,人们建立了信息代数,并制定了熵和互信息的连锁规则。信息论领域是接受和列举无数系统中信息交流的关键主角。信息论中的不等式已成为研究和说明信息传播中的限制和机会的有影响力的工具。当代公报是构建离散概率分布信息不等式的准确步骤。我们编制了大量有关正实数有限序列的不等式。这些不等式的特殊情况绝对是有利的,特别是与信息论文献中存在的无数熵和不准确度的测量有关。
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A Widespread Study of Inequalities Instigating Through Discrete Information Models
The philosophy of inequalities has profundity been established for explaining numerous optimizational problems encountered in mathematical sciences. The contemporary develpments in computational mathematics have made it conceivable to compute enormous entities articulated in expressions of inequalities. Inequalities in information theory have been determined by the aspiration to elucidate communication theoretic problems. To disentangle such problems, the algebra of information was established and chain rules for entropy and mutual information were framed. The field of information theory participates with a critical protagonist in accepting and enumerating the communication of information in innumerable systems. Inequalities in information theory have appeared as influential implements to investigate and illustrate the restrictions and opportunities in information dispensation. The contemporary communiqué is an accurate step in the construction of information inequalities for the discrete probability distribution. We have prepared abundant inequalities concerning finite sequences of positive real numbers. The exceptional cases of these inequalities are definitely advantageous especially, in connection with innumerable measures of entropies and inaccuracy surviving in the literature of information theory.
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