Computing multiple turning points by using simple extended systems and computational differentiation

被引：0

作者：

Pönisch, G. ^{[1
]}

Schnabel, U. ^{[1
]}

Schwetlick, H. ^{[1
]}

机构：

[1] Technische Universität Dresden, Inst. für Numerische Mathematik, D-01062 Dresden, Germany

来源：

Optimization Methods and Software | 1999年 / 10卷 / 04期

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：639 / 668

共 46 条

[41] Solving Semi-Explicit Index-1 DAE Systems using L-Stable Extended Block Backward Differentiation Formula with Continuous Coefficients
Akinfenwa, Olusheye. A.
Okunuga, Solomon A.
WORLD CONGRESS ON ENGINEERING - WCE 2013, VOL I, 2013, : 252 - 256
[42] A simple and rapid method for the differentiation of C-13 manoyl oxide epimers in biologically important samples using GC-MS analysis supported with NMR spectroscopy and computational chemistry results
Demetzos, C
Kolocouris, A
Anastasaki, T
BIOORGANIC & MEDICINAL CHEMISTRY LETTERS, 2002, 12 (24) : 3605 - 3609
[43] Simple and Fast Determination of Warfarin in Pharmaceutical Samples Using Boron-doped Diamond Electrode in BIA and FIA Systems with Multiple Pulse Amperometric Detection
Guedes, Tiago de Jesus
Reis Andrade, Glauber Antonio
Lima, Amanda Barbosa
Bezerra da Silva, Rodrigo Amorim
Pio dos Santos, Wallans Torres
ELECTROANALYSIS, 2017, 29 (10) : 2340 - 2347
[44] Exploring quantitative group-wise differentiation of Alzheimer’s disease and behavioural variant frontotemporal dementia using tract-specific microstructural white matter and functional connectivity measures at multiple time points
R. Meijboom
R. M. E. Steketee
L. S. Ham
D. Mantini
E. E. Bron
A. van der Lugt
J. C. van Swieten
M. Smits
European Radiology, 2019, 29 : 5148 - 5159
[45] Exploring quantitative group-wise differentiation of Alzheimer's disease and behavioural variant frontotemporal dementia using tract-specific microstructural white matter and functional connectivity measures at multiple time points
Meijboom, R.
Steketee, R. M. E.
Ham, L. S.
Mantini, D.
Bron, E. E.
van der Lugt, A.
van Swieten, J. C.
Smits, M.
EUROPEAN RADIOLOGY, 2019, 29 (10) : 5148 - 5159
[46] The Internet of Things (IoT) could enable the development of cloud multiple-input multiple-output (MIMO) systems where internet-enabled devices can work as distributed transmission/reception entities. We expect that spatial multiplexing with distributed reception using cloud MIMO would be a key factor of future wireless communication systems. In this paper, we first review practical receivers for distributed reception of spatially multiplexed transmit data where the fusion center relies on quantized received signals conveyed from geographically separated receive nodes. Using the structures of these receivers, we propose practical channel estimation techniques for the block-fading scenario. The proposed channel estimation techniques rely on very simple operations at the received nodes while achieving near-optimal channel estimation performance as the training length becomes large.
Choi, Junil
Love, David J.
Brown, D. Richard, III
CONFERENCE RECORD OF THE 2014 FORTY-EIGHTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, 2014, : 1066 - 1070

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