Due to the complexity of the objective function, we used the Dinkelbach approach to convert the non-linear fractional programming problem into a simpler subtractive form. Then, the equivalent ...

Given the uncertainty of the malicious nodes' positions, we formulate a robust fractional programming optimization problem aimed at maximizing the covert and secure energy efficiency by jointly ...

Such estimation problems often ... memory requirements for large linear space-time inverse problems, taking the Bayesian approach for estimating carbon dioxide (CO2) emissions and uptake (a.k.a.

N. Gadhi , Necessary and sufficient optimality conditions for fractional multi-objective problems, Optimization 57(4) (2008) 527–537. Crossref, Web of Science, Google Scholar 17. T. Y. Huang and S. C.

A Python package to quickly decompose weighted graphs into weights paths, under various models.

Get article recommendations from ACS based on references in your Mendeley library. Pair your accounts.

The main goal of this study is to find solutions for the generalized coupled Ramani equation with the fractional order using the fractional natural decomposition method (FNDM). Four distinct cases are ...

This book uses MySQL challenges as case studies to explore problem analysis and resolution strategies. Readers will gain a deeper appreciation for logical reasoning, data structures, algorithms, and ...