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Quantitative methods for market-oriented economic analysis over space and time

Labys, Walter C. (ed.) - 1989

Persistent link: https://www.econbiz.de/10013499934

Mathematical programming formulations and algorithms for discrete k-median clustering of time-series data

Seref, Onur; Fan, Ya-ju; Chaovalitwongse, Wanpracha - In: INFORMS journal on computing : JOC 26 (2014) 1, pp. 160-172

Persistent link: https://www.econbiz.de/10010344112

An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction

Ong, Pauline; Zainuddin, Zarita - In: Decision analytics journal 6 (2023), pp. 1-12

challenge for WNNs' initialization. The cuckoo search algorithm (CSA) is used in this study for optimizing WNNs. The position of …

Persistent link: https://www.econbiz.de/10014506437

A Fast Matrices Decomposition Algorithm for Two-Dimensional Elliptic Problem Using Legendre Spectral Collocation Approximation

Li-ping, He - 2018

addition, the algorithm can be e ectively parallelized since the bottlenecks are matrix-matrix multiplications. Finally, we …

Persistent link: https://www.econbiz.de/10012921708

Time Series Forecasting With a Learning Algorithm : An Approximate Dynamic Programming Approach

Collado, Ricardo - 2019

We consider the basic problem of refi tting a time series over a finite period of time and formulate it as a stochastic dynamic program. By changing the underlying Markov decision process we are able to obtain a model that at optimality considers historical data as well as forecasts of future...

Persistent link: https://www.econbiz.de/10012894079