Search Results - (((((((ant OR want) OR mkantis) OR wind) OR cantor) OR anne) OR shape) OR hints) algorithms.

Number, Shape, & Symmetry : an Introduction to Number Theory, Geometry, and Group Theory. by Herrmann, Diane L.

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Graph algorithms and applications 3

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Metaheuristic optimization for the design of automatic control laws by Sandou, Guillaume

Table of Contents: “…Ant colony optimization…”
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Optimization of Computer Networks : Modeling and Algorithms: a Hands-On Approach. by Pavón Mariño, Pablo

Table of Contents: “…7.1 Introduction -- 7.2 Node Location Problems -- 7.3 Full Topology Design Problems -- 7.4 Multilayer Network Design -- 7.5 Notes and Sources -- 7.6 Exercises -- References -- Part Two: Algorithms -- Chapter 8: Gradient Algorithms in Network Design -- 8.1 Introduction -- 8.2 Convergence Rates -- 8.3 Projected Gradient Methods -- 8.4 Asynchronous and Distributed Algorithm Implementations -- 8.5 Non-Smooth Functions -- 8.6 Stochastic Gradient Methods -- 8.7 Stopping Criteria -- 8.8 Algorithm Design Hints -- 8.9 Notes and Sources -- 8.10 Exercises -- References…”
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Introduction to programming : learn to program in Java with data structures, algorithms, and logic by Samoylov, Nick

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Graph partitioning and graph clustering : 10th DIMACS Implementation Challenge Workshop, February 13-14, 2012, Georgia Institute of Technology, Atlanta, GA

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Nearest-neighbor methods in learning and vision : theory and practice

Table of Contents: “…Clarkson -- Locality-sensitive hashing using stable distributions / Alexandr Andoni [and others] -- New algorithms for efficient high-dimensional nonparametric classification / Ting Liu, Andrew W. …”
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Applications of multi-objective evolutionary algorithms

Table of Contents: “…Non-Dominated Sorting Evolution Strategy Algorithm (NSESA)3.3. Case Studies; 3.3.1. Shape Design of a Shielded Reactor; 3.3.2. …”
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Building winning algorithmic trading systems : a trader's journey from data mining to Monte Carlo simulation to live trading by Davey, Kevin J., 1966-

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Network and discrete location : models, algorithms, and applications by Daskin, Mark S., 1952-

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3D Shape Analysis : Fundamentals, Theory and Applications. by Tabia, Hedi

Table of Contents: “…9.6 Summary and Further Reading10 3D Face Recognition; 10.1 Introduction; 10.2 3D Face Recognition Tasks, Challenges and Datasets; 10.3 3D Face Recognition Methods; 10.4 Summary; 11 Object Recognition in 3D Scenes; 11.1 Introduction; 11.2 Surface Registration-Based Object Recognition Methods; 11.3 Machine Learning-Based Object Recognition Methods; 11.4 Summary and Further Reading; 12 3D Shape Retrieval; 12.1 Introduction; 12.2 Benchmarks and Evaluation Criteria; 12.3 Similarity Measures; 12.4 3D Shape Retrieval Algorithms; 12.5 Summary and Further Reading; 13 Cross-domain Retrieval…”
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Improved Indirect Power Control (IDPC) of Wind Energy Conversion Systems (WECS) by Amrane, Fayssal, Chaiba, Azeddine

Table of Contents: “…Robustness Tests7 for Mode 1, Mode 2 Mode 3 -- A-Mode 1 (Novel IDPC based on T1-FLC, T2-FLC NFC): -- B-Mode 2 (Novel IDPC based on T1-FLC, T2-FLC NFC): -- C-Mode 3 (Novel IDPC based on T1-FLC, T2-FLC NFC): -- 7. WIND-SYSTEM PERFORMANCES RECAPITULATION UNDER SIX (06) PROPOSED IDPC ALGORITHMS -- CONCLUSION -- NOTES -- REFERENCES -- General Conclusion -- 5.1. …”
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Learning JavaScript data structures and algorithms : understand and implement classic data structures and algorithms using JavaScript by Groner, Loiane

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Computer and machine vision : theory, algorithms, practicalities by Davies, E. R. (E. Roy)

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Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms. by Ozdemir, Caner

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Coherent Doppler Wind Lidars in a Turbulent Atmosphere. by Banakh, V. A. (Viktor Arsentʹevich)

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Meta-heuristic and evolutionary algorithms for engineering optimization by Bozorg-Haddad, Omid, 1974-, Solgi, Mohammad, 1989-, Loaiciga, Hugo A.

Table of Contents: “…Overview of optimization -- Introduction to meta-heuristic and evolutionary algorithms -- Pattern search (PS) -- Genetic algorithm (GA) -- Simulated annealing (SA) -- Tabu search (TS) -- Ant colony optimization (ACO) -- Particle swarm optimization (PSO) -- Differential evolution (DE) -- Harmony search (HS) -- Shuffled frog-leaping algorithm (SFLA) -- Honey-bee mating optimization (HBMO) -- Invasive weed optimization (IWO) -- Central force optimization (CFO) -- Biogeography-based optimization (BBO) -- Firefly algorithm (FA) -- Gravity search algorithm (GSA) -- Bat algorithm (BA) -- Plant propagation algorithm (PPA) -- Water cycle algorithm (WCA) -- Symbiotic organisms search (SOS) -- Comprehensive evolutionary algorithm (CEA).…”
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Algorithms for sample preparation with microfluidic lab-on-chip by Bhattacharjee, Sukanta, Bhattacharya, Bhargab B., Chakrabarty, Krishnendu

Table of Contents: “…2.1.3 Generation of Dilution Gradients2.2 Mixing Algorithms for DMFB; 2.3 Droplet Streaming Algorithms; 2.4 Dilution and Mixing Algorithms for CFMB; 2.5 Summary; Chapter 3 -- Multiple Dilution Sample Preparation on Digital Microfluidic Biochips; 3.1 Related Work; 3.2 Tree-pruning-based Dilution Algorithm; 3.2.1 Proposed Methodology; 3.3 Experimental Results; 3.4 Conclusions; Chapter 4 -- Efficient Generation of Dilution Gradients with Digital Microfluidic Biochips; 4.1 Literature Review; 4.2 Linear Gradient; 4.3 Exponential Gradient; 4.4 Complex-shaped Gradients…”
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Genetic and evolutionary computation : medical applications

Table of Contents: “…Potok -- Towards an alternative to magnetic resonance imaging for vocal tract shape measurement using the principles of evolution / David M. …”
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We are data : algorithms and the making of our digital selves by Cheney-Lippold, John

Table of Contents: “…-- Privacy: wanted dead or alive -- Conclusion: ghosts in the machine.…”
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