A finite element code is developed for analysis and design of three-dimensional truss and frame structures. Structures are designed for minimum weight subject to constraints on: member stresses, Euler buckling, shell buckling, joint displacements and system natural frequencies. Structures are optimized with respect to member size and strength configuration. The finite element code may be used for analysis only, or may be coupled to an optimizer of the user's choice. The displacement method is...

Topics: Mechanical engineering, Optimization, Structural optimization, Design optimization, Mast design,...

Naval Postgraduate School

37
37

Feb 1, 2021
02/21

by
Bither, Cheryl Ann; Dougherty, Julie Anne

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A modeling strategy for the validation and analysis of large-scale optimization models is defined and demonstrated. The strategy is based on nine principles of analysis and eight principles of visualization that are applied in a user controlled hierarchical structure which is customized to a particular optimization problem. For each model a set of analytic tools, such as spreadsheets and graphs, is structured to validate and verify data and analyze the model and its results. These tools can be...

Topics: Interactive optimization, Visualization, Large-scale optimization, Military optimization

141
141

Oct 8, 2015
10/15

by
Rosenthal, Richard E.

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Cover title

Topic: OPTIMIZATION.

35 ref

Topic: optimization

Title from cover

Topic: OPTIMIZATION.

Naval Postgraduate School

795
795

Jan 15, 2013
01/13

by
Madsen, Leroy E.;Vanderplaats, Garret N.

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Cover title

Topic: OPTIMIZATION.

161
161

Oct 9, 2015
10/15

by
Madsen, Leroy E.;Vanderplaats, Garret N.

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Cover title

Topic: OPTIMIZATION.

Cover title

Topic: OPTIMIZATION.

120
120

Oct 4, 2015
10/15

by
Vanderplaats, Garret N.

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Title from cover

Topic: OPTIMIZATION.

112
112

Nov 14, 2013
11/13

by
Michel X. Goemans

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This lecture covers the proof of the Bessy-Thomasse Theorem, formerly known as the Gallai Conjecture. Also, we discuss the cyclic stable set polytope, and show that it is totally dual integral (TDI) (see lecture 5 for more on TDI systems of inequalities).

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1943

92
92

Nov 14, 2013
11/13

by
Michel X. Goemans

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Last time, we stated the following theorem by Edmonds and Lawler about the maximum independent set common to two matroids.

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1925

89
89

Nov 14, 2013
11/13

by
Michel X. Goemans

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Our �rst topic of study is matchings in graphs which are not necessarily bipartite. We begin with some relevant terminology and de�nitions.

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1922

4
4.0

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xxi, 546 p. : 25 cm

Topics: Mathematical optimization, Mathematical optimization -- Case studies

116
116

Nov 14, 2013
11/13

by
Michel X. Goemans

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This lecture covers: the Matching polytope, total dual integrality, and Hilbert bases.

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1939

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286

May 30, 2010
05/10

by
Novoselov, V. S

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Analytical dynamic methods applied to flight optimization

Topics: DYNAMICS, FLIGHT OPTIMIZATION, DYNAMICS, FLIGHT OPTIMIZATION

A Java tutorial was developed as a World Wide Web (WWW) site for use in capturing user behavior data. Breadth of distribution analysis was then applied to the data collected in order to characterize the usage of the user interface through the shape, connectedness, and order of traversal of each user in the sample. The results reveal distinct user groups with different levels of user knowledge and needs in relation to the web site content The resulting user interface analysis process produces a...

Topics: OPTIMIZATION, optimization, distribution, user interface analysis

81
81

Nov 14, 2013
11/13

by
Michel X. Goemans

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This lecture is about jump systems. While they are brie�y discussed in chapter 41 of Schrijver�s book, they are not covered extensively.

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1930

126
126

Nov 14, 2013
11/13

by
Dan Stratila

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Consider a planar graph G = (V,E) and a set of terminal pairs R = {(si,ti): i = 1,k}. Assume G is planar, (V, E _ R) is Eulerian, and all terminals lie on the outer face of G. In this lecture, we will cover the following results.

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1937

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99

Nov 14, 2013
11/13

by
Michel X. Goemans

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De�nition 1: A matroid M = (S, I) is a �nite ground set S together with a collection of sets...

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1944

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3.0

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318 pages : 24 cm

Topics: Mathematical optimization, Multidisciplinary design optimization, Optimierung

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80

Nov 14, 2013
11/13

by
Alantha Newman

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1 Multi�ows and Disjoint Paths - Let G = (V,E) be a graph and let...

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1936

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109

Nov 14, 2013
11/13

by
Michel X. Goemans

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Let M1 = (S, I1), M2 = (S, I2) be two matroids on common ground set S with rank functions r1 and r2. Many combinatorial optimization problems can be reformulated as the problem of �nding the maximum size common independent set ..

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1924

84
84

Nov 14, 2013
11/13

by
Michel X. Goemans

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The Matroid matching Problem: Given a matroid M = (S, I), let E be a set of pairs on S.

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1929

102
102

Nov 14, 2013
11/13

by
Michel X. Goemans

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We continue the discussion of how a 2k-edge-connected graph can be oriented so that the resulting digraph is k-arc-connected. Last time we have seen that this can be achieved using submodular �ows. Today we present a di_erent approach, which relates the problem to matroid intersection.

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1934

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97

Nov 14, 2013
11/13

by
Michel X. Goemans

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In this lecture, we investigate the relationship between total dual integrality and integrality of polytopes. We then use a theorem on total dual integrality to provide a new proof of the Tutte-Berge formula.

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1940

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89

Nov 14, 2013
11/13

by
Michel X. Goemans

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In this lecture, we will: � Present Edmonds� algorithm for computing a maximum matching in a (not necessarily bipartite) graph G. � Use the analysis of the algorithm to derive the Edmonds-Gallai Decomposition Theorem stated in the last lecture.

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1933

8
8.0

Jun 14, 2022
06/22

by
Papadimitriou, Christos H

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xvi, 496 p. : 24 cm

Topics: Mathematical optimization, Combinatorial optimization, Computational complexity

6
6.0

Nov 15, 2021
11/21

by
El-Hodiri, Mohamed A

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xii, 195 p. : 25 cm

Topic: Mathematical optimization

606
606

Sep 10, 2008
09/08

by
Hogan, William W; Marsten, Roy E. (Roy Earl); Blankenship, Jacob Watson, 1933-

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Bibliography: leaf 33-34

Topic: Mathematical optimization

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16

Oct 13, 2021
10/21

by
Beale, E. M. L. (Evelyn Martin Lansdowne)

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ix, 121 p. : 25 cm

Topic: Mathematical optimization

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37

Jan 17, 2017
01/17

by
Jackson, Richard H. F.; McCormick, Garth P.; Sofer, Arlela

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Topic: Mathematical optimization.

5
5.0

Mar 26, 2021
03/21

by
Levy, Adam B

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xii, 55 p. : 23 cm

Topic: Mathematical optimization

64
64

Oct 8, 2015
10/15

by
Adamec, David;Elsberry, Russell L;Garwood, Roland W;Haney, Robert Lee

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"NPS63-80-003"--Cover

Topic: COMBINATORIAL OPTIMIZATION

University of Illinois Urbana-Champaign

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221

Apr 5, 2011
04/11

by
Blair, Charles E; University of Illinois at Urbana-Champaign. College of Commerce and Business Administration

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Title page includes summary of paper

Topic: Mathematical optimization

1,654
1.7K

Aug 8, 2019
08/19

by
Fletcher, R. (Roger)

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xiv, 436 p. : 24 cm

Topic: Mathematical optimization

2
2.0

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x, 320 p. : 24 cm

Topic: Structural optimization

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47

Jun 27, 2019
06/19

by
Neustadt, Lucien W

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xi, 424 p. ; 25 cm

Topic: Mathematical optimization

The application of particle swarm optimization (PSO) to programming of pavement maintenance activities at the network level is demonstrated. The application of the PSO technique and its relevance to solve the programming problem in a pavement management system (PMS) are discussed. The robust and quick search capability of PSO enable it to effectively handle the highly constrained problem of pavement management activities programming, which has an extremely large solution space of astronomical...

Topics: Particle Swarm Optimization, Pavement Management System, Optimization

1,628
1.6K

Aug 12, 2018
08/18

by
Stephen Boyd

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Catalog description Concentrates on recognizing and solving convex optimization problems that arise in applications. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, statistics and machine learning, control and...

Topics: Optimization, Math

Source: http://academictorrents.com/details/393dc896234b96a1cd251c14cfc65d2ff594d6e9

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3.0

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2 v. : 25 cm

Topic: Mathematical optimization

15
15

May 11, 2021
05/21

by
Panik, Michael J

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xi, 312 p. ; 24 cm

Topic: Mathematical optimization

8
8.0

Mar 26, 2021
03/21

by
Tang, S. L. (Siu-lam)

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vi, 160 p. : 25 cm

Topic: Mathematical optimization

289
289

Feb 26, 2019
02/19

by
Boyd

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Convex optimization book

Topic: convex optimization

Naval Postgraduate School

202
202

Jan 14, 2013
01/13

by
Adamec, David;Elsberry, Russell L;Garwood, Roland W;Haney, Robert Lee

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"NPS63-80-003"--Cover

Topic: COMBINATORIAL OPTIMIZATION

8
8.0

Mar 9, 2022
03/22

by
Haftka, Raphael T

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xiv, 396 p. : 25 cm

Topic: Structural optimization

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45

Jun 1, 2022
06/22

by
Fletcher, R. (Roger)

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v. : 24 cm

Topic: Mathematical optimization

105
105

Nov 14, 2013
11/13

by
Michel X. Goemans

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Today we will brie�y survey matroid representation and then discuss some problems in matroid optimization and the corresponding applications. The tools we develop will help us answer the following puzzle: Puzzle: A game is played on a graph G(V, E) and has two players, George and Ari. Ari�s moves consist of ��xing� edges e _ E. George�s moves consist of deleting any un�xed edge. The game ends when every edge has been either �xed or deleted. Ari wins if the graph at the end of...

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1923

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81

Nov 14, 2013
11/13

by
Mohammad Mahdian

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The Lovasz splitting-o_ lemma - Lovasz�s splitting-o_ lemma states the following.

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1935

106
106

Nov 14, 2013
11/13

by
Michel X. Goemans

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In this lecture, we will introduce three related topics: graph orientations, directed cuts, and submodular �ows. In fact, we will use submodular �ows to prove results from the other topics.

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1931

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90

Nov 14, 2013
11/13

by
Michel X. Goemans

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In this lecture, we continue with more results on matroid union, as well as tie together some loose ends from the past couple of lectures.

Topics: Maths, Optimization and Control, Optimization, Mathematics

Source: http://www.flooved.com/reader/1927