[1] G.B. Dantzig, Linear Programming and Extensions, Princeton Univ. Press, Princeton, N.J., 1963.
[2] N. Karmarkar, "A new polynomial-time algorithm for linear programming", Combinatorica Vol. 4, Issue 4, 1984, pp. 373–395.
[3] V. Klee, G.J. Minty, how good is the simplex algorithm in Inequalities III (Ed. O. Shisha), pp. 159-175, Academic Press, New York, 1972.
[4] G. Strang, the simplex method and Karmarkar's method, In Introduction to Applied Mathematics pp. 673-691. Wellesley-Cambridge Press, Wellesley, Mass, 1986.
[5] M. Zeleny, "An external reconstruction approach to linear programming", Computers and Operations Research, Vol. 13, Issue 1, 1986, pp. 95–100.
[6] G. Mitra, M. Tamiz, J. Yadegar, "Experimental investigation of an interior search method within a simplex framework", Commans ACM, Vol. 31, No. 12, 1988, pp. 1474–1482.
[7] J.A. Snyman, "An Interior Feasible Direction Method with Constraint Projections for Linear Programming", Computers & Mathematics with Applications, Vol. 20, Issue 12, 1990, pp. 43–54.
[8] G. Zoutendijk, Methods of Feasible Directions: A Study in Linear and Nonlinear Programming, Elsevier, Amsterdam and D Van Nostrand, Princeton, N.J., 1960.
[9] J.B. Rosen, "The gradient projection method for nonlinear programming, Part I, Linear constraints", SIAM J. Appl. Math, Vol. 8, No. 1, 1960, pp. 181–217.
[10] P. Wolfe, Methods of nonlinear programming. In Nonlinear Programming (Ed. J. Abadie), pp. 97–131. North-Holland, Amsterdam, 1967.
[11] W.I. Zangwill, "The Convex Simplex Method", Management Science, Vol. 14, No. 3, 1967, pp. 221–238.
[12] M.A. Diniz-Ehrhardt, M.A. Gomes-Ruggiero, J.M. Martinez, S.A. Santos, "Augmented Lagrangian Algorithms Based on the Spectral Projected Gradient Method for Solving Nonlinear Programming Problems", Journal of optimization theory and applications, Vol. 123, Issue 3, 2004, pp. 497–517.
[13] P.H. Calamai, J.J. Mori. "Projected Gradient Methods for Linearly Constrained Problems", Mathematical Programming, Vol. 39, Issue 1, 1987, pp. 93–116.
[14] D.P. Bertsekas, "Projected Newton Methods for Optimization Problems with Simple Constraints", Siam J. Control and Optimization, Vol. 20. No. 2, 1982, pp. 221–246.
[15] J.P. Dussault, G. Fournier, "Technical Note on the Convergence of the Projected Gradient Method", Journal of Optimization Theory and Applications, Vol. 77, No. 1, 1993, pp. 197–208.
[16] J.B. Rosen, "The Gradient Projection Method for Nonlinear Programming. Part II. Nonlinear Constraints", J. Soc. Indust. Appl. Math., Vol. 9, No. 4, 1961, pp. 514–532.
[ 11 ] ح. نورمحمدی، "بررسی روش زوتندیک در مسایل برنامه ریزی خطی"، مجله ریاضیات کاربردی، سال ششم، شماره 23 ، 1388، صفحه69-12 .
[18] M. Hintermuller, K. Ito, K. Kunisch, "The Primal-Dual Active Set Strategy as a Semismooth Newton Method", Siam J. Optim., Vol. 13, No. 3, 2003, pp. 865–888.
[19] R. Andreani, J.J. Júdice, J.M. Martínez, J. Patrício, "A projected–gradient interior–point algorithm for complementarity problems", Numerical Algorithms, Vol. 57, Issue 4, 2011, pp. 457–485.
[20] L.M. Grana Drummond, "A Projected Gradient Method for Vector Optimization Problems", Computational Optimization and Applications, Vol. 28, Issue 1, 2004, pp. 5–29.
[21] F.A. Potra, S.J. Wright, "Interior-Point Methods", Journal of Computational and Applied Mathematics, Vol. 124, Issues 1–2, 2000, pp. 281–302.
[22] J. Gondzio, "Interior Point Methods 25 Years Later", European Journal of Operational Research, Vol. 218, Issue 3, 2012, pp. 587–601.
[23] Y-H. Xiao, Q-J. Hu, Z. Wei, "Modified Active Set Projected Spectral Gradient Method for Bound Constrained Optimization", Applied Mathematical Modeling, Vol. 35, Issue 7, 2011, pp. 3117–3127
[24] A. Deza, E. Nematollahi, R. Peyghami, T. Terlaky, "The Central Path Visits All the Vertices of the Klee–Minty Cube", Optimization Methods and Software, Vol. 21, No. 5, 2006, pp. 851–865.
[25] A. Deza, E. Nematollahi, T. Terlaky, "How Good Are Interior Point Methods? Klee–Minty Cubes Tighten Iteration-Complexity Bounds", Mathematical Programming, Vol. 113, No. 1, 2008, pp. 1–14.
[26] F.S. Hillier, G.J. Lieberman, Introduction to Operations Research, 9th Edition, McGraw-Hill, New York, United States, 2010, pp. 142–143.
[27] E.G. Birgin, J.M. Martinez, "Large-Scale Active-Set Box-Constrained Optimization Method with Spectral Projected Gradients", Computational Optimization and Applications, Vol. 23, Issue 1, 2002, pp. 101–125.
[28] M. Andretta, E.G. Birgin, J.M. Martinez, "Partial spectral projected gradient method with active-set strategy for linearly constrained optimization", Numerical Algorithms, Vol. 53, No. 1, 2010, pp. 23–52.
)
