Search Results - (((((((want OR win) OR spanning) OR art) OR cantor) OR anne) OR carter) OR santis) algorithms.

Algorithmic trading : winning strategies and their rationale / by Chan, Ernest P., 1966-

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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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Theory of randomized search heuristics : foundations and recent developments

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Flowchart and Algorithm Basics : The Art of Programming. by Chaudhuri, A. B.

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How to guard an art gallery and other discrete mathematical adventures by Michael, T. S., 1960-

Table of Contents: “…s Formula: Second Proof -- 2.8 Batting Averages and Lattice Points -- 2.9 Three Dimensions and N-largements -- 2.10 Notes and References -- 2.11 Problems -- 3 How to Guard an Art Gallery -- 3.1 The Sunflower Art Gallery -- 3.2 Art Gallery Problems -- 3.3 The Art Gallery Theorem -- 3.4 Colorful Consequences -- 3.5 Triangular and Chromatic Assumptions -- 3.6 Modern Art Galleries -- 3.7 Art Gallery Sketches -- 3.8 Right-Angled Art Galleries -- 3.9 Guarding the Guards -- 3.10 Three Dimensions and the Octoplex…”
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Probability and Algorithms. by Staff, National Research Council

Table of Contents: “…""PROBABILITY AND ALGORITHMS""; ""Copyright""; ""Preface""; ""Contents""; ""1. …”
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The Human Algorithm by Solis, Brian

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Algorithmic composition : a guide to composing music with Nyquist by Simoni, Mary Hope

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Open Data Structures : an Introduction. by Morin, Pat

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Bayesian modeling using WinBUGS by Ntzoufras, Ioannis, 1973-

Table of Contents: “…Introduction to Bayesian inference -- Markov chain Monte Carlo algorithms in Bayesian inference -- WinBUGS software : introduction, setup, and basic analysis -- WinBUGS software : illustration, results, and further analysis -- Introduction to Bayesian models : normal models -- Incorporating categorical variables in normal models and further modeling issues -- Introduction to generalized linear models : binomial and Poisson data -- Models for positive continuous data, count data, and other GLM-based extensions -- Bayesian hierarchical models -- The predictive distribution and model checking -- Bayesian model and variable evaluation -- Appendix A : Model specification via directed acyclic graphs : the DOODLE menu -- Appendix B : The batch mode : running a model in the background using scripts -- Appendix C : Checking convergence using CODA/BOA -- Appendix D : Notation summary.…”
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Introduction to cryptography by Padhye, Sahadeo, Sahu, Rajeev A., Saraswat, Vishal

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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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An introduction to the analysis of algorithms by Soltys, Michael, 1971-

Table of Contents: “…Notes -- 2. Greedy algorithms. 2.1. Minimum cost spanning trees. 2.2. Jobs with deadlines and profits. 2.3. …”
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An Introduction to Algorithmic Trading : Basic to Advanced Strategies. by Leshik, Edward, Cralle, Jane

Table of Contents: “…Introduction to trading algorithms. History ; All about trading algorithms you ever wanted to know ... ; Algos defined and explained ; Who uses and provides algos ; Why have they become mainstream so quickly? …”
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Structural geology algorithms : vectors and tensors by Allmendinger, Richard Waldron, Cardozo, Nestor, Fisher, Donald M., 1961-

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Security of block ciphers : from algorithm design to hardware implementation by Sakiyama, Kazuo, 1971-

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Ensemble methods : foundations and algorithms. by Zhou, Zhi-Hua (Computer scientist)

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Genome Sequencing Technology and Algorithms. by Kim, Sun

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Graph algorithms and applications 3

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C# Data Structures and Algorithms : Explore the possibilities of C# for developing a variety of efficient applications. by Jamro, Marcin

Table of Contents: “…InsertionRemoval; Example -- BST visualization; AVL trees; Implementation; Example -- keep the tree balanced; Red-black trees; Implementation; Example -- RBT-related features; Binary heaps; Implementation; Example -- heap sort; Binomial heaps; Fibonacci heaps; Summary; Chapter 6: Exploring Graphs; Concept of graphs; Applications; Representation; Adjacency list; Adjacency matrix; Implementation; Node; Edge; Graph; Example -- undirected and unweighted edges; Example -- directed and weighted edges; Traversal; Depth-first search; Breadth-first search; Minimum spanning tree; Kruskal's algorithm.…”
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