|
Showing 1 - 5 of
5 matches in All Departments
2. The Algorithm ...59 3. Convergence Analysis ..., ...60 4.
Complexity Analysis ...63 5. Conclusions ...67 References ...67 A
Simple Proof for a Result of Ollerenshaw on Steiner Trees ...68
Xiufeng Du, Ding-Zhu Du, Biao Gao, and Lixue Qii 1. Introduction
...68 2. In the Euclidean Plane ...69 3. In the Rectilinear Plane
...70 4. Discussion ...-...71 References ...71 Optimization
Algorithms for the Satisfiability (SAT) Problem ...72 Jun Gu 1.
Introduction ...72 2. A Classification of SAT Algorithms ...7:3 3.
Preliminaries ...IV 4. Complete Algorithms and Incomplete
Algorithms ...81 5. Optimization: An Iterative Refinement Process
...86 6. Local Search Algorithms for SAT ...89 7. Global
Optimization Algorithms for SAT Problem ...106 8. Applications
...137 9. Future Work ...140 10. Conclusions ...141 References
...143 Ergodic Convergence in Proximal Point Algorithms with
Bregman Functions ...155 Osman Guier 1. Introduction ...: ...155 2.
Convergence for Function Minimization ...158 3. Convergence for
Arbitrary Maximal Monotone Operators ...161 References ...163
Adding and Deleting Constraints in the Logarithmic Barrier Method
for LP ...166 D. den Hertog, C. Roos, and T. Terlaky 1.
Introduction ...16(5 2. The Logarithmic Darrier Method ...lG8
CONTENTS IX 3. The Effects of Shifting, Adding and Deleting
Constraints ...171 4. The Build-Up and Down Algorithm ...177 ...5.
Complexity Analysis ...180 References ...184 A Projection Method
for Solving Infinite Systems of Linear Inequalities ...186 Hui Hu
1. Introduction ...186 2. The Projection Method ...186 3.
Convergence Rate ...189 4. Infinite Systems of Convex Inequalities
...191 5. Application ...193 References ...
2. The Algorithm . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. 59 3. Convergence Analysis . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . ., . . .
. 60 4. Complexity Analysis . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. 63 5. Conclusions . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . 67 References . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . 67 A Simple Proof for a Result of
Ollerenshaw on Steiner Trees . . . . . . . . . . 68 Xiufeng Du,
Ding-Zhu Du, Biao Gao, and Lixue Qii 1. Introduction . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . 68 2. In the Euclidean
Plane . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . 69 3. In the Rectilinear
Plane . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . 70 4. Discussion . . . . .
. . . . . . . -. . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . 71 References
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
71 Optimization Algorithms for the Satisfiability (SAT) Problem . .
. . . . . . . 72 Jun Gu 1. Introduction . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . 72 2. A Classification of SAT
Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . 7:3 3. Preliminaries . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . IV 4. Complete Algorithms and
Incomplete Algorithms . . . . . . . . . . . . . . . . . . . . . . .
. . . 81 5. Optimization: An Iterative Refinement Process . . . . .
. . . . . . . . . . . . . . . . . . . . . . . 86 6. Local Search
Algorithms for SAT . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . 89 7. Global Optimization
Algorithms for SAT Problem . . . . . . . . . . . . . . . . . . . .
. . . . 106 8. Applications . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . 137 9. Future Work . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . 140 10. Conclusions . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . 141 References . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . 143 Ergodic Convergence in
Proximal Point Algorithms with Bregman Functions . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . 155 Osman Guier 1. Introduction . . .: . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . 155 2. Convergence for Function
Minimization . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . 158 3. Convergence for Arbitrary Maximal Monotone
Operators . . . . . . . . . . . .
Humanitarian logistics is a complex science because actors are
compelled to work with outmost speed in interrupted environments
with unknown players. Even more complex are civil-military
relations because as studies reveal, the differences between these
two actors run deep. This work examines civil-military relations in
the preparedness and response phase of humanitarian crises by
developing a frame of reference, setting forth operational and
theoretical definitions, examining overlapping supply chains,
civil-military cooperation framework and proposing a working model.
Data collection is based on two NGOs and a military task force, and
this data analyzed vis-a-vis the frame of reference. From the
analysis, some conclusions were drawn. First, a number of
strategies are employed during the preparedness and response phase.
Also, overlapping roles generate both positive and negative impact.
Meanwhile, different organizational structures and funding outlay
mean differences in how activities are coordinated and information
shared. Lastly, cooperation, trust, information sharing and
coordination are closely linked when finding a strategic fit among
actors.
As current silicon-based microelectronic devices and circuits are
approaching their fundamental limits, the research field of
nanoelectronics is emerging worldwide. Materials other than silicon
and device principles other than complementary
metal-oxide-semiconductor (CMOS) are being investigated. With this
background, the present book focuses on nanoelectronic devices in
InGaAs/InP based on ballistic and quantum effects. The main
material studied was a modulation doped InGaAs/InP two-dimensional
electron gas. The book covers mainly three types of devices and
their twofold integration: in-plane gate transistors,
three-terminal ballistic junctions and quantum dots. Novel device
properties were studied in detail. The author hopes the results
presented in this book to be a valuable contribution to the
nanoelectronic research on InP-based semiconductors. The book
should be interesting to semiconductor material scientists, device
physicists and electronic engineers.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|