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Mathematical Programming, Volume 52
Volume 52, 1991
- Takeo Kawashiro, Fumihiro Yamasawa, Yasumasa Okada, Hirosuke Kobayashi, Kunio Tanabe:

Uneven distribution of ventilation-perfusion ratios in lungs estimated by a modified Newton method. 1-9 - Carlos Eduardo Pedreira

, V. B. Vila:
Optimal schedule for cancer chemotherapy. 11-17 - M. Tamura, Y. Kobayashi:

Application of sequential quadratic programming software program to an actual problem. 19-27 - Katsunori Tani, Shuji Tsukiyama, Shoji Shinoda, Isao Shirakawa:

On area-efficient drawings of rectangular duals for VLSI floor-plan. 29-43 - Claus Thorp Hansen

, Kaj Madsen, Hans Bruun Nielsen:
Optimization of pipe networks. 45-58 - Bjørn Nygreen:

Branch and bound with estimation based on pseudo-shadow-prices. 59-69 - Fumiko Seo:

Utilization of mathematical programming for public systems: An application to effective formation of integrated regional information networks. 71-98 - Takeshi Koshizuka, Osamu Kurita:

Approximate formulas of average distances associated with regions and their applications to location problems. 99-123 - Tsutomu Suzuki

, Yasushi Asami
, Atsuyuki Okabe:
Sequential location-allocation of public facilities in one- and two-dimensional space: Comparison of several policies. 125-146 - Jati K. Sengupta:

The influence curve approach in data envelopment analysis. 147-166 - Garth P. McCormick, Ariela Sofer:

Optimization with unary functions. 167-178 - Franz Aurenhammer:

Using Gale transforms in computational geometry. 179-190 - Jean-Pierre Crouzeix, Jacques A. Ferland:

Algorithms for generalized fractional programming. 191-207 - Clóvis C. Gonzaga:

Interior point algorithms for linear programming with inequality constraints. 209-225 - Pierre Hansen, Brigitte Jaumard, Shi-Hui Lu:

An analytical approach to global optimization. 227-254 - Pierre Hansen, Marcus Poggi de Aragão, Celso C. Ribeiro

:
Hyperbolic 0-1 programming and query optimization in information retrieval. 255-263 - Alfredo N. Iusem, Alvaro R. De Pierro:

On the convergence of Han's method for convex programming with quadratic objective. 265-284 - Krzysztof C. Kiwiel:

Exact penalty functions in proximal bundle methods for constrained convex nondifferentiable minimization. 285-302 - Philippe Michelon, Nelson Maculan:

Lagrangean decomposition for integer nonlinear programming with linear constraints. 303-313 - Manfred Padberg, Ting-Yi Sung:

An analytical comparison of different formulations of the travelling salesman problem. 315-357 - Mario V. F. Pereira

, Leontina M. V. Pinto:
Multi-stage stochastic optimization applied to energy planning. 359-375 - Takashi Tsuchiya:

Global convergence of the affine scaling methods for degenerate linear programming problems. 377-404 - Yinyu Ye:

Comparative analysis of affine scaling algorithms based on simplifying assumptions. 405-414 - Clóvis C. Gonzaga:

On lower bound updates in primal potential reduction methods for linear programming. 415-428 - Kurt M. Anstreicher:

A combined phase I-phase II scaled potential algorithm for linear programming. 429-439 - Robert M. Freund:

A potential-function reduction algorithm for solving a linear program directly from an infeasible "warm start". 441-466 - Vera V. Kovacevic-Vujcic:

Improving the rate of convergence of interior point methods for linear programming. 467-479 - Dick den Hertog, Cees Roos:

A survey of search directions in interior point methods for linear programming. 481-509 - Masao Iri:

Integrability of vector and multivector fields associated with interior point methods for linear programming. 511-525 - György Sonnevend, Josef Stoer, Gongyun Zhao:

On the complexity of following the central path of linear programs by linear extrapolation II. 527-553 - Narendra Karmarkar, K. G. Ramakrishnan:

Computational results of an interior point algorithm for large scale linear programming. 555-586 - Shinji Mizuno, Michael J. Todd:

An O(n3L) adaptive path following algorithm for a linear complementarity problem. 587-595 - Narendra Karmarkar, Mauricio G. C. Resende, K. G. Ramakrishnan:

An interior point algorithm to solve computationally difficult set covering problems. 597-618

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