Search Results - (((((((ant OR wantis) OR arts) OR cartsr) OR cantor) OR anne) OR when) OR wanting) algorithms.

Evolutionary algorithms for mobile ad hoc networks

Table of Contents: “…3 SURVEY ON OPTIMIZATION PROBLEMS FOR MOBILE AD HOC NETWORKS3.1 TAXONOMY OF THE OPTIMIZATION PROCESS; 3.2 STATE OF THE ART; 3.3 CONCLUSION; REFERENCES; 4 MOBILE NETWORKS SIMULATION; 4.1 SIGNAL PROPAGATION MODELING; 4.2 STATE OF THE ART OF NETWORK SIMULATORS; 4.3 MOBILITY SIMULATION; 4.4 CONCLUSION; REFERENCES; PART II: PROBLEMS OPTIMIZATION; 5 PROPOSED OPTIMIZATION FRAMEWORK; 5.1 ARCHITECTURE; 5.2 OPTIMIZATION ALGORITHMS; 5.3 SIMULATORS; 5.4 EXPERIMENTAL SETUP; 5.5 CONCLUSION; REFERENCES; 6 BROADCASTING PROTOCOL; 6.1 THE PROBLEM; 6.2 EXPERIMENTS; 6.3 ANALYSIS OF RESULTS; 6.4 CONCLUSION.…”
Full text (MFA users only)

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).…”
Full text (MFA users only)

Poems that solve puzzles : the history and science of algorithms by Bleakley, Chris

Table of Contents: “…Cover -- POEMS THAT SOLVE PUZZLES -- Copyright -- Dedication -- Foreword -- About the Author -- Contents -- Introduction -- The Trainee Librarian -- The Algorithm Machine -- 1 Ancient Algorithms -- Etched in Clay -- Uncovered at Last -- Elegance and Beauty -- Finding Primes -- 2 Ever-Expanding Circles -- Wheels Within Wheels -- World Records -- The Art of Reckoning -- Waves Upon Waves -- 3 Computer Dreams -- A Clockwork Computer -- The Turing Machine -- 4 Weather Forecasts -- Numerical Forecasts -- ENIAC -- Monte Carlo -- Computer Forecasts -- Chaos -- Long-Range Forecasts…”
Full text (MFA users only)

Algorithms for sample preparation with microfluidic lab-on-chip by Bhattacharjee, Sukanta, Bhattacharya, Bhargab B., Chakrabarty, Krishnendu

Full text (MFA users only)

Between stillness and motion : film, photography, algorithms

Table of Contents: “…Fassbinder's films / Christa Blümlinger -- The temporalities of the narrative slide motion film / Liv Hausken -- The cinematic turn in the arts. Stop/motion / Thomas Elsaesser -- After "photography's expanded field" / George Baker -- On 'On Otto': moving images and the new collectivity / Ina Blom -- The algorithmic turn. …”
Full text (MFA users only)

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

Full text (MFA users only)

Against all odds : historical women and new algorithms

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.…”
Full text (MFA users only)

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

Full text (MFA users only)

Vehicular networks : models and algorithms

Table of Contents: “…Optimal parameters of the algorithm; 3.6.2. Distribution of the length of convoys; 3.6.3. …”
Full text (MFA users only)

Kasmalieva and Djumaliev : a new Silk Road : algorithm of survival and hope. by Kasmalieva, Gulnara, 1960-

Automatic modulation classification : principles, algorithms, and applications by Zhu, Zhechen

Full text (MFA users only)

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?…”
Full text (MFA users only)

A guide to creating a successful algorithmic trading strategy by Kaufman, Perry J.

Full text (MFA users only)

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.…”
Full text (MFA users only)

Handbook of Satisfiability : Handbook of Satisfiability. by Biere, A.

Table of Contents: “…Random Satisfiability; 8.1 Introduction; 8.2 The State of the Art; 8.3 Random MAX k-SAT; 8.4 Physical Predictions for Solution-space Geometry; 8.5 The Role of the Second Moment Method; 8.6 Generative models; 8.7 Algorithms; 8.8 Belief/Survey Propagation and the Algorithmic Barrier.…”
Full text (MFA users only)

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.…”
Full text (MFA users only)

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? …”
Full text (MFA users only)

Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x by Lesmeister, Cory

Full text (MFA users only)

Turing's vision : the birth of computer science by Bernhardt, Chris

Full text (MFA users only)