Search Results - (((((((ant OR wantis) OR wanted) OR carter) OR cantor) OR anne) OR when) OR wanting) algorithms.

Algorithmics of matching under preferences by Manlove, David F.

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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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Introduction to programming : learn to program in Java with data structures, algorithms, and logic by Samoylov, Nick

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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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Data Structure and Algorithms Using C++ : A Practical Implementation. by Mohanty, Sachi Nandan

Table of Contents: “…Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Introduction to Data Structure -- 1.1 Definition and Use of Data Structure -- 1.2 Types of Data Structure -- Linear Data Structures -- Non-Linear Data Structure -- Operations Performed in Data Structure -- 1.3 Algorithm -- Steps Required to Develop an Algorithm -- Mathematical Notations and Functions -- Algorithemic Notations -- 1.4 Complexity of an Algorithm -- Space Complexity -- Time Complexity -- Best Case -- Worst Case -- Average Case -- 1.5 Efficiency of an Algorithm…”
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Algorithmic Graph Theory and Perfect Graphs. by Rheinboldt, Werner

Table of Contents: “…The Design of Efficient Algorithms; 1. The Complexity of Computer Algorithms; 2. …”
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Network and discrete location : models, algorithms, and applications by Daskin, Mark S., 1952-

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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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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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Building software for simulation : theory and algorithms, with applications in C++ by Nutaro, James

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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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An Investigation into Authentication Security of GSM algorithm for Mobile Banking. by Raheem, Ali

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What to Do When Machines Do Everything : Five Ways Your Business Can Thrive in an Economy of Bots, AI, and Data. by Frank, Malcolm

Table of Contents: “…What to Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data; Contents; Preface; 1: When Machines Do Everything; Like It or Not, This Is Happening; Digital That Matters; Playing the New Game; But Will I Be Automated Away?…”
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A guide to creating a successful algorithmic trading strategy by Kaufman, Perry J.

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Automating open source intelligence : algorithms for OSINT

Table of Contents: “…Graph Analysis for OSINTStructural Observations; Density of a Graph; Neighborhood, Degree, Average Degree, and Degree Distribution; Paths and Average Path Length; Components; Characterizing Position of Nodes; Betweenness Centrality; Closeness Centrality; Structures and Communities of Nodes; Structural Patterns: Cliques and Cores; Communities; Modularity; Twitter Case Study; The Twitter Dataset; General Graph Metrics; Node Metrics and Profiles' Centrality; Communities; Conclusion; References; Chapter 8 -- Ethical Considerations When Using Online Datasets for Research Purposes; Introduction.…”
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Bayesian phylogenetics : methods, algorithms, and applications

Table of Contents: “…Front Cover; Contents; List of Figures; List of Tables; Preface; Editors; Contributors; Chapter 1: Bayesian phylogenetics: methods, computational algorithms, and applications; Chapter 2: Priors in Bayesian phylogenetics; Chapter 3: Inated density ratio (IDR) method for estimating marginal likelihoods in Bayesian phylogenetics; Chapter 4: Bayesian model selection in phylogenetics and genealogy-based population genetics; Chapter 5: Variable tree topology stepping-stone marginal likelihood estimation; Chapter 6: Consistency of marginal likelihood estimation when topology varies.…”
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Turing's vision : the birth of computer science by Bernhardt, Chris

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Cryptography Apocalypse : Preparing for the Day When Quantum Computing Breaks Today's Crypto. by Grimes, Roger A.

Table of Contents: “…59 -- Cryptography Basics 59 -- Encryption 59 -- Integrity Hashing 72 -- Cryptographic Uses 73 -- How Quantum Computers Can Break Cryptography 74 -- Cutting Time 74 -- Quantum Algorithms 76 -- What Quantum Can and Can’t Break 79 -- Still Theoretical 82 -- Summary 83 -- 4 When Will the Quantum Crypto Break Happen? …”
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Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x by Lesmeister, Cory

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Adventures in Raspberry Pi by Philbin, Carrie Anne

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