"An algorithm for generating ship schedules for a crisis deployment problem"

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Book	Author(s)	Year	Publisher
An algorithm for generating ship schedules for a crisis deployment problem	Svein Buvik	1988
A column generation technique for a crisis deployment planning problem	Newton Rodrigues Lima	1988
An algorithm for the traveling salesman problem	John D. C. Little	1963	M.I.T.
A naval ship scheduling algorithm	Royal DuBose Joslin	1970	Naval Postgraduate School
An algorithm for generating random time delays in manual war games	Dale M. Molsberry	1963	Naval Postgraduate School
An algorithm for solving a range constrained traveling salesman problem	John William Harms	1976	Naval Postgraduate School
An algorithm for constructing feasible schedules and computing their schedule times	Jack Heller	1960	Courant Institute of Mathematical Sciences, New York University
A branch and exclude algorithm for the knapsack problem	Robert Lawrence Hegerich	1968	Naval Postgraduate School;Available from National Technical Information Service
algorithm for constructing feasible schedules and computing their schedule times	Jack Heller	1960	Courant Institute of Mathematical Sciences, New York University
An algorithm for the symmetric generalized eigenvalue problem Ax = [delta]Bx	Chang-chung Chang	1974	Center for Advanced Computation, University of Illinois at Urbana - Champaign
A composite algorithm for the concave-cost LTL consolidation problem	Anantaram Balakrishnan	1985	Massachusetts Institute of Technology, Alfred P. Sloan School of Management
A branch and bound algorithm for the delivery truck problem	Stephen John Balut	1973	Naval Postgraduate School
A fast and simple algorithm for the maximum flow problem	Ravindra K. Ahuja	1987	Sloan School of Management, Massachusetts Institute of Technology
A fast and simple algorithm for the maximum flow problem	Ravindra K. Ahuja	1988	Sloan School of Management, Massachusetts Institute of Technology
A geometric algorithm for solving the general linear programming problem.	James Thurber	1958	Courant Institute of Mathematical Sciences, New York University
A graph coloring algorithm and a scheduling problem	Robert Albert Draper	1971	U.S. Naval Postgraduate School
An O(n log n) algorithm for the maximal planar subgraph problem.	Jiazhen Cai	1992	Courant Institute of Mathematical Sciences, New York University
An O(n log n) algorithm for the maximal planar subgraph problem	Jiazhen Cai	1992	Courant Institute of Mathematical Sciences, New York University
Fixed interval smoothing algorithm for an extended Kalman filter for over-the-horizon ship tracking	William J. Galinis	1989	Naval Postgraduate School
A nonlinear programming algorithm for an array computer	J. M. Mulvey	1969	Dept. of Computer Science, University of Illinois at Urbana-Champaign
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Generating feasible schedules for a pick-up and delivery problem	]Eric Domenjoud; Claude Kirchner; Jianyang Zhou	Principles and Practice of Constraint Programming - CP98: 4th International Conference, CP98, Pisa, Italy, October 26-30, 1998, Proceedings	Michael Maher; Jean-Francois Puget	1998	Springer Berlin Heidelberg
Generating High Quality Schedules for a Spacecraft Memory Downlink Problem	Angelo Oddi; Nicola Policella; Amedeo Cesta; Gabriella Cortellessa	Principles and Practice of Constraint Programming - CP 2003: 9th International Conference, CP 2003, Kinsale, Ireland, September 29 - October 3, 2003, Proceedings	Francesca Rossi	2003	Springer Berlin Heidelberg
Generating Payment Schedules	Guojun Gan	An Introduction to Excel VBA Programming: with Applications in Finance and Insurance	Guojun Gan	2017	Routledge
An Algorithm for Generating Continued Fractions		Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner	Bradford Tuckfield	2021	No Starch Press
An algorithm for Heilbronn's problem	Claudia Bertram-Kretzberg; Thomas Hofmeister; Hanno Lefmann	Computing and Combinatorics: Third Annual International Conference, COCOON ' 97, Shanghai, China, August 20-22, 1997. Proceedings.	Tao Jiang; D.T. Lee	1997	Springer Berlin Heidelberg
An Algorithm for Generating Efficient Outcome Points for Convex Multiobjective Programming Problem	Nguyen Thi Bach Kim; Le Quang Thuy	Intelligent Information and Database Systems: Second International Conference, ACIIDS 2010, Hue City, Vietnam, March 24-26, 2010, Proceedings, Part II	Manh Thanh Le; Jerzy Swiatek; Ngoc Thanh Nguyen	2010	Springer Berlin Heidelberg
432 Self-generating algorithm for overall identification problem		Industrial Applications of Fuzzy Technology in the World	K. Hirota, Michio Sugeno	1995	World Scientific Pub Co Inc
Generating and executing schedules		Learn Quantum Computing with Python and IBM Quantum Experience: A hands-on introduction to quantum computing and writing your own quantum programs with Python	Robert Loredo	2020	Packt Publishing
Generating an algorithm for executing graphical models	Jawahar Malhotra; Robert M. Shapiro	Functional Programming, Concurrency, Simulation and Automated Reasoning: International Lecture Series 1991-1992, McMaster University, Hamilton, Ontario, Canada	Peter E. Lauer	1993	Springer Berlin Heidelberg
An algorithm for generating self-avoiding walks		Advances in Engineering Software	Clifford	2004	Elsevier
36 An algorithm for generating partitions 77		Algorithmic Combinatorics	Shimon Even	1973	Macmillan
A fuzzy algorithm for constructing cyclic schedules	Eugene V. Levner; Alexander S. Ptuskin	System Modelling and Optimization: Proceedings of the 14th IFIP-Conference Leipzig, GDR, July 3–7, 1989	H.-J. Sebastian; K. Tammer	1990	Springer Berlin Heidelberg
451 Generating a deployment artifact		Apache Pulsar in Action	David Kjerrumgaard	2021	Manning Publications
An easy algorithm for generating a uniformly random rotation		Rotation: A review of useful theorems involving proper orthogonal matrices referenced to three-dimensional physical space	Brannon R.	2002
An alternative algorithm for generating a uniformly random rotation		Rotation: A review of useful theorems involving proper orthogonal matrices referenced to three-dimensional physical space	Brannon R.	2002
An Effective Optimisation Algorithm for Sensor Deployment Problem in Wireless Sensor Network	Vishal Puri; A. Ramesh Babu; T. Sudalai Muthu; Sonali Potdar	Next Generation Computing Technologies on Computational Intelligence: 4th International Conference, NGCT 2018, Dehradun, India, November 21–22, 2018, Revised Selected Papers	Manish Prateek; Durgansh Sharma; Rajeev Tiwari; Rashmi Sharma; Kamal Kumar; Neeraj Kumar	1st ed. 2019	Springer Nature Singapore
82 Generating deployment descriptors for Axis		XDoclet in action	Craig Walls, Norman Richards	2004	Manning
An Algorithm for a Generalized Maximum Subsequence Problem	Thorsten Bernholt; Thomas Hofmeister	LATIN 2006: Theoretical Informatics: 7th Latin American Symposium, Valdivia, Chile, March 20-24, 2006, Proceedings	José R. Correa; Alejandro Hevia; Marcos Kiwi	2006	Springer Berlin Heidelberg
An Efficient Algorithm for a Generalized LCS Problem	Daxin Zhu; Yingjie Wu; Xiaodong Wang	Algorithms and Architectures for Parallel Processing: 15th International Conference, ICA3PP 2015, Zhangjiajie, China, November 18-20, 2015, Proceedings, Part IV	Guojun Wang; Albert Zomaya; Gregorio Martinez; Kenli Li	1st ed. 2015	Springer International Publishing
An Efficient Algorithm for Computing Optimal Discrete Voltage Schedules	Minming Li; Frances F. Yao	Mathematical Foundations of Computer Science 2005: 30th International Symposium, MFCS 2005, Gdansk, Poland, August29-September 2. 2005, Proceedings	Joanna Jedrzejowicz; Andrzej Szepietowski	2005	Springer Berlin Heidelberg
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