Search Results - (((((((ant OR kkantis) OR wants) OR hints) OR cantor) OR anne) OR find) OR planting) algorithms.

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  1. 1

    Algorithmic Beauty of Plants. by Lindenmayer, Aristid

    Published 1990
    Table of Contents: “…The Virtual Laboratory; The Algorithmic Beauty of Plants; Copyright; Preface; Contents; Chapter 1 Graphical modeling using L-systems; Chapter 2 Modeling of trees; Chapter 3 Developmental models of herbaceous plants; Chapter 4 Phyllotaxis; Chapter 5 Models of plant organs; Chapter 6 Animation of plant development; Chapter 7 Modeling of cellular layers; Chapter 8 Fractal properties of plants; Epilogue; Appendix A Software environment for plant modeling; Appendix B About the figures; Turtle interpretation of symbols; Bibliography; Index.…”
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  2. 2

    Ant Colony Optimization and Constraint Programming. by Solnon, Christine

    Published 2013
    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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  3. 3

    Theory of randomized search heuristics : foundations and recent developments

    Published 2011
    Table of Contents: “…Runtime Analysis of Evolutionary Algorithms for Discrete Optimization Peter S. Oliveto and Xin Yao; 3. …”
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  4. 4

    Algorithmic Puzzles. by Levitin, Anany, Levitin, Maria

    Published 2011
    Table of Contents: “…-- General strategies for algorithm design -- Analysis techniques -- Easier puzzles (#1 to #50) -- Puzzles of medium difficulty (#51 to #110) -- Harder puzzles (#111 to #150) -- Hints -- Solutions -- References -- Design stragety and analysis index.…”
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    Algorithms for Dummies. by Mueller, John Paul

    Published 2022
    Table of Contents: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Getting Started with Algorithms -- Chapter 1 Introducing Algorithms -- Describing Algorithms -- The right way to make toast: Defining algorithm uses -- Finding algorithms everywhere -- Using Computers to Solve Problems -- Getting the most out of modern CPUs and GPUs -- Working with special-purpose chips -- Networks: Sharing is more than caring -- Leveraging available data…”
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  8. 8

    The Human Algorithm by Solis, Brian

    Published 2019
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    Nature-inspired optimization algorithms by Yang, Xin-She

    Published 2014
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    Permutation Group Algorithms by Seress, kos

    Published 2003
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  12. 12

    Algorithms in invariant theory by Sturmfels, Bernd, 1962-

    Published 2008
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  13. 13

    Finding Alphas : a Quantitative Approach to Building Trading Strategies. by Tulchinsky, Igor

    Published 2019
    Table of Contents: “…Data Inputs to an AlphaAlpha Universe; Alpha Prediction Frequency; Value of an Alpha; Practical Alpha Evaluation; Future Performance; Conclusion; 5 How to Develop an Alpha: A Case Study; Conclusion; 6 Data and Alpha Design; How we find Data for Alphas; Data Validation; Understand the Data Before Using it; Embrace the Big Data ERA; Conclusion; 7 Turnover; Alpha Horizon; The Cost of a Trade; The Crossing Effect; Controlling Turnover; Examples; Tuning the Turnover; 8 Alpha Correlation; Alpha PnL Correlation; Alpha Value Correlation; Correlation with Alpha Pool; Conclusion…”
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    Ant colony optimization by Dorigo, Marco

    Published 2004
    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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    Mastering Machine Learning Algorithms : Expert techniques to implement popular machine learning algorithms and fine-tune your models. by Bonaccorso c/o Quandoo, Giuseppe

    Published 2018
    Table of Contents: “…Conditional probabilities and Bayes' theoremBayesian networks; Sampling from a Bayesian network; Direct sampling; Example of direct sampling; A gentle introduction to Markov chains; Gibbs sampling; Metropolis-Hastings sampling; Example of Metropolis-Hastings sampling; Sampling example using PyMC3; Hidden Markov Models (HMMs); Forward-backward algorithm; Forward phase; Backward phase; HMM parameter estimation; Example of HMM training with hmmlearn; Viterbi algorithm; Finding the most likely hidden state sequence with hmmlearn; Summary; Chapter 5: EM Algorithm and Applications.…”
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    Pathway modeling and algorithm research

    Published 2011
    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

    Published 2020
    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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