Search Results - (((((((ant OR wanti) OR mantis) OR when) OR cantor) OR anne) OR shane) OR hints) algorithms.

Pattern Recognition. by Theodoridis, Sergios

Table of Contents: “…Chapter 13 Clustering Algorithms II: Hierarchical AlgorithmsChapter 14 Clustering Algorithms III: Schemes Based on Function Optimization; Chapter 15 Clustering Algorithms IV; Chapter 16 Cluster Validity; Appendix A Hints from Probability and Statistics; Appendix B Linear Algebra Basics; Appendix C Cost Function Optimization; Appendix D Basic Definitions from Linear Systems Theory; Index.…”
Full text (MFA users only)

Optimization in Engineering Sciences : Exact Methods. by Borne, Pierre

Table of Contents: “…Lagrange method; 1.4. Simplex algorithm; 1.4.1. Principle; 1.4.2. Simplicial form formulation; 1.4.3. …”
Full text (MFA users only)

Graph algorithms and applications 3

Full text (MFA users only)

Algorithmics of matching under preferences by Manlove, David F.

Full text (MFA users only)

Metaheuristic optimization for the design of automatic control laws by Sandou, Guillaume

Table of Contents: “…Ant colony optimization…”
Full text (MFA users only)

Optimization of Computer Networks : Modeling and Algorithms: a Hands-On Approach. by Pavón Mariño, Pablo

Table of Contents: “…7.1 Introduction -- 7.2 Node Location Problems -- 7.3 Full Topology Design Problems -- 7.4 Multilayer Network Design -- 7.5 Notes and Sources -- 7.6 Exercises -- References -- Part Two: Algorithms -- Chapter 8: Gradient Algorithms in Network Design -- 8.1 Introduction -- 8.2 Convergence Rates -- 8.3 Projected Gradient Methods -- 8.4 Asynchronous and Distributed Algorithm Implementations -- 8.5 Non-Smooth Functions -- 8.6 Stochastic Gradient Methods -- 8.7 Stopping Criteria -- 8.8 Algorithm Design Hints -- 8.9 Notes and Sources -- 8.10 Exercises -- References…”
Full text (MFA users only)

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…”
Full text (MFA users only)

Algorithmic Graph Theory and Perfect Graphs. by Rheinboldt, Werner

Table of Contents: “…The Design of Efficient Algorithms; 1. The Complexity of Computer Algorithms; 2. …”
Full text (MFA users only)

Building winning algorithmic trading systems : a trader's journey from data mining to Monte Carlo simulation to live trading by Davey, Kevin J., 1966-

Full text (MFA users only)

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

Full text (MFA users only)

CUDA programming : a developer's guide to parallel computing with GPUs by Cook, Shane

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)

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

Full text (MFA users only)

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

Full text (MFA users only)

Freudian unconscious and cognitive neuroscience : from unconscious fantasies to neural algorithms by Talvitie, Vesa

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)

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)