Abstract
We discuss approximation techniques to the solution of convex minimization problems by using iterative sequences with resolvent operators. We also propose an iterative scheme for an approximation to the solution to a common minimization problem for a finite family of convex functions.
This work was supported by JSPS KAKENHI Grant Number 15K05007.
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Kimura, Y. (2018). The Shrinking Projection Method and Resolvents on Hadamard Spaces. In: Neogy, S., Bapat, R., Dubey, D. (eds) Mathematical Programming and Game Theory. Indian Statistical Institute Series. Springer, Singapore. https://doi.org/10.1007/978-981-13-3059-9_7
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DOI: https://doi.org/10.1007/978-981-13-3059-9_7
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