Search Results - (((((((ant OR giant) OR alter) OR swartz) OR cantor) OR anne) OR warten) OR mantis) algorithms.

Ant Colony Optimization and Constraint Programming. by Solnon, Christine

Table of Contents: “…Constraint programming; 1.1.2. Ant colony optimization; 1.1.3. Constraint programming with ant colony optimization; Chapter 2. …”
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Theory of randomized search heuristics : foundations and recent developments

Table of Contents: “…Runtime Analysis of Evolutionary Algorithms for Discrete Optimization Peter S. Oliveto and Xin Yao; 3. …”
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On the Shoulders of Giants : New Approaches to Numeracy.

Table of Contents: “…""On the Shoulders of Giants""; ""Copyright""; ""Preface""; ""Contents""; ""Pattern""; ""FUNDAMENTAL MATHEMATICS""; ""FIVE SAMPLES""; ""CONNECTIONS""; ""GAINING PERSPECTIVE""; ""REFERENCES AND RECOMMENDED READING""; ""Dimension""; ""INTRODUCTION""; ""The Dimensional Ladder""; ""Giving Geometrical Gifts""; ""MEASURING VOLUMES""; ""Decomposition Models""; ""Pyramid Problems""; ""Cylinders and Discs""; ""VISUALIZING DIMENSIONS""; ""Growth Factors""; ""Rates and Averages""; ""Drawing Cubes""; ""COORDINATES IN DIFFERENT DIMENSIONS""; ""Number Lines and Circles""; ""Lengths and Perimeters""…”
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Algorithms for Dummies. by Mueller, John Paul

Table of Contents: “…Distinguishing between Issues and Solutions -- Being correct and efficient -- Discovering there is no free lunch -- Adapting the strategy to the problem -- Describing algorithms in a lingua franca -- Facing problems that are like brick walls, only harder -- Structuring Data to Obtain a Solution -- Understanding a computer's point of view -- Arranging data makes the difference -- Chapter 2 Considering Algorithm Design -- Starting to Solve a Problem -- Modeling real-world problems -- Finding solutions and counterexamples -- Standing on the shoulders of giants -- Dividing and Conquering…”
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Algorithmic composition : a guide to composing music with Nyquist by Simoni, Mary Hope

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Nature-inspired optimization algorithms by Yang, Xin-She

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Swarm intelligence and bio-inspired computation : theory and applications

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Ant colony optimization by Dorigo, Marco

Table of Contents: “…Preface; Acknowledgments; 1 -- From Real to Artificial Ants; 2 -- The Ant Colony Optimization Metaheuristic; 3 -- Ant Colony Optimization Algorithms for the Traveling Salesman Problem; 4 -- Ant Colony Optimization Theory; 5 -- Ant Colony Optimization for NP-Hard Problems; 6 -- AntNet: An ACO Algorithm for Data Network Routing; 7 -- Conclusions and Prospects for the Future; Appendix: Sources of Information about the ACO Field; References; Index.…”
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Introduction to cryptography by Padhye, Sahadeo, Sahu, Rajeev A., Saraswat, Vishal

Table of Contents: “…3.7 Quadratic Congruence3.7.1 Quadratic Residue or Non-Residue; 3.7.2 Legendre Symbol and Jacobi Symbol; 3.8 Exponentiation and Logarithm; 3.8.1 Square and Multiply Method; 3.9 Discrete Logarithm Problem; 3.9.1 Shank's Baby-Step Giant-Step Algorithm; 3.9.2 Pollard's Rho Algorithm; 3.9.3 Pohlig-Hellman Algorithm; 3.9.4 Index Calculus Algorithm; 3.10 Exercises; 4 Probability and Perfect Secrecy; 4.1 Basic Concept of Probability; 4.2 Birthday Paradox; 4.3 Perfect Secrecy; 4.4 Vernam One-Time Pad; 4.5 Random Number Generation; 4.6 Pseudo-random Number Generator; 4.7 Exercises; 5 Complexity Theory.…”
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Pathway modeling and algorithm research

Table of Contents: “…PATHWAY MODELING AND ALGORITHM RESEARCH; PATHWAY MODELING AND ALGORITHM RESEARCH; Contents; Preface; Biological Pathways and Their Modeling; Abstract; 1. …”
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Swarm Intelligence Algorithms : Modifications and Applications. by Slowik, Adam

Table of Contents: “…-- 1.2.3 Pseudo-code of standard ACO algorithm -- 1.3 Modified variants of ant colony optimization -- 1.3.1 Elitist ant systems -- 1.3.2 Ant colony system -- 1.3.3 Max-min ant system -- 1.3.4 Rank based ant systems -- 1.3.5 Continuous orthogonal ant systems…”
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Essays on algorithmic trading by Gsell, Markus

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Genome Sequencing Technology and Algorithms. by Kim, Sun

Table of Contents: “…Genome Sequencing Technolog and Algorithms; List of Contributors; Contents; Part I The New DNA Sequencing Technology; 1 An Overview of New DNA Sequencing Technology; 2 Array-Based Pyrosequencing Technology; 3 The Role of Resequencing Arrays in RevolutionizingDNA Sequencing; 4 Polony Sequencing; 5 Genome Sequencing: A Complex Path to PersonalizedMedicine; Part II Genome Sequencing and Fragment Assembly; 6 Overview of Genome Assembly Techniques; 7 Fragment Assembly Algorithms; 8 Assembly for Double-Ended Short-Read SequencingTechnologies; Part III Beyond Conventional Genome Sequencing.…”
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Algorithmic Diagnosis of Symptoms and Signs. by Collins, R. Douglas

Table of Contents: “…Intro; Half Title Page; Title Page; Copyright Page; Preface to the Fourth Edition; Preface to the First Edition; Introduction; Contents; Part 1 Getting the Most out of Your History and Physical Examination; Part 2 Algorithms of Symptoms and Signs; Abdominal Pain, Acute; Abdominal Pain, Chronic Recurrent; Abdominal Rigidity; Abdominal Swelling, Focal; Abdominal Swelling, Generalized; Absent or Diminished Pulse; Acid Phosphatase Elevation; Acidosis (Decreased pH); Alkaline Phosphatase Elevation; Alkalosis (Increased pH); Alopecia; Alterations in Serum Iron; Alteration in Serum Uric Acid.…”
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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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Digital Video and HD : Algorithms and Interfaces. by Poynton, Charles

Table of Contents: “…Picture rendering; Surround effect; Tone scale alteration; Incorporation of rendering; Rendering in desktop computing.…”
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Digital is destroying everything : what the tech giants won't tell you about how robots, big data, and algorithms are radically remaking your future / by Edwards, Andrew V., 1956-

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

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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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