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[1] Sunyoung Kim and Masakazu Kojima, Exploiting Sparsity in SDP Relaxation of Polynomial Optimization Problems [2] Numerical Recipes Software, numerical recipes in c the art of scientific computing, 5.8 Chebyshev Approximation [3] Yi Shi, Member, IEEE, Y. Thomas Hou, Senior Member, IEEE, and Huaibei Zhou, Per-Node Based Optimal Power Control for Multi-hop Cognitive Radio Networks, IEEE Transactions on Wireless Communications, vol. 8, no.10 [4]R. M. et al. Cross-layer design for lifetime maximization in interference-limited wireless sensor networks. IEEE Infocom, 2005. [5]M. L. Sichitiu. cross-layer scheduling for power e_ciency in wireless sensor networks. IEEE Infocom,2004. [6]M. Chiang. To layer or not to layer: Balancing transport and physical layers in wireless multihop networks. IEEE Infocom, 4, 2004. [7]L. Bui, A. Eryılmaz, and R. Srikant. Joint asynchronous congestion control and distributed scheduling for multi-hop wireless networks. Department of Electrical and Computer Engineering. [8]L. Chen, S. H. Low, M. Chiang, and J. C. Doyle. Optimal cross-layer congestion control, routing and scheduling design in ad hoc wireless network. [9]B. Johansson, P. Soldati, and M. Johansson. Mathematical decomposition techniques for distributed cross-layer optimization of data networks. IEEE Journal on Selected Areas in Communications [10]M. Johansson and L. Xiao. Cross-layer optimization of wireless networks using nonlinear column generation. IEEE Transactions on Wireless Communications [11]S. J. Kim, X. Wang, and M. Madihian. Cross-layer design of wireless multihop backhaul networks with multiantenna beamforming. IEEE Trans. Mob. Comput [12]J. Papandriopoulos, S. Dey, and J. Evans. Optimal and distributed protocols for cross-layer design of physical and transport layers in manets. IEEE Trans. on Networking [13] H. Waki, S. Kim,M. Kojima, M. Muramatsu, H. Sugimoto and M. Yamashita User Manual for SparsePOP: a Sparse Semidefinite Programming Relaxation of Polynomial Optimization Problems [14] Hayato Waki¤, Sunyoung Kimy, Masakazu Kojimaz, Masakazu Muramatsux , Sums of Squares and Semidefinite Programming Relaxations for Polynomial Optimization Problems with Structured Sparsity [15] Hayato Waki, Sunyoung Kim,Masakazu Kojima and Masakazu Muramatsu SparsePOP: a Sparse Semidefinite Programming Relaxation of Polynomial Optimization Problems [16] Zai-En Hou,, Ke-Cun Zhang . Approximation of multivariate function by using new multivariate Bernstein a-polynomials [17] Kamron Saniee .A Simple Expression for Multivariate Lagrange Interpolation
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