Introduction to matrix analysis (2nd ed.)
Introduction to matrix analysis (2nd ed.)
Mathematical Programming: Series A and B
On the moment-determinance and random mixture of Nakagami-m variates
IEEE Transactions on Communications
Convexity and optimization of condense discrete functions
SEA'11 Proceedings of the 10th international conference on Experimental algorithms
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The concept of discrete convexity for a real-valued function defined on a discrete space is an extension of the convexity definition of continuous functions. The equivalence of discrete convexity to the conventional definition of increasing (non-decreasing) first forward differences of functions of single variables is established. A further extension of the discrete convexity with submodularity yields the concept of strong discrete convexity. A function with the property of strong discrete convexity has a positive semi-definite matrix of second forward differences.