Search Results - (((((((want OR wanting) OR mkantis) OR win) OR cantor) OR anne) OR plans) OR hints) 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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Network-Based Distributed Planning Using Coevolutionary Algorithms. by Subbu, Raj

Table of Contents: “…Combinatorial optimization. 2.3. Evolutionary algorithms. 2.4. Agents. 2.5. Distributed problem solving -- 3. …”
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Theory of randomized search heuristics : foundations and recent developments

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Genetic Algorithms : Concepts and Designs. by Man, K. F.

Table of Contents: “…Genetic Algorithms in Production Planning and Scheduling Problems; 10. …”
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Algorithmic Puzzles. by Levitin, Anany, Levitin, Maria

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

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Permutation Group Algorithms by Seress, kos

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Nature-inspired optimization algorithms by Yang, Xin-She

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Algorithms in invariant theory by Sturmfels, Bernd, 1962-

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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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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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Algorithms and architectures of artificial intelligence by Tõugu, Enn, 1935-

Table of Contents: “…Language of algorithms -- Knowledge Handling -- Search -- Learning and Decision Making -- Problem Solving and Planning.…”
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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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Computer search algorithms

Table of Contents: “…THE FREQUENCY PLANNING PROBLEM IN GSM NETWORKS Mathematical Description ; HEURISTIC SEARCHES INCLUDED IN OUR STUDY ; The Genetic Algorithm ; The Scatter Search Heuristic ; The Population Based Incremental Learning ; The Greedy Randomized Adaptive Search Procedure ; EXPERIMENTAL EVALUATION AND RESULTS ; Empirical Results ; CONCLUSION AND FUTURE WORK ; ACKNOWLEDGMENTS ; REFERENCES ; EMERGENCE AND ADVANCES OF QUANTUM SEARCH; BACKGROUND ; AN INTRODUCTION TO QUANTUM COMPUTATION ; Quantum Search Algorithm ; A Quantum Oracle ; Grover's Search Algorithm ; Optimality of Grover's Algorithm.…”
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Heuristic search : theory and applications by Edelkamp, Stefan

Table of Contents: “…Introduction -- Basic search algorithms -- Dictionary data structures -- Automatically created heuristics -- Heuristic search under memory constraints. …”
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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.…”
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Genetic Algorithms + Data Structures = Evolution Programs by Michalewicz, Zbigniew

Table of Contents: “…I. Genetic Algorithms -- 1 GAs: What Are They? -- 2 GAs: How Do They Work? …”
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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: “…Jagged arraysExample -- yearly transport plan; Sorting algorithms; Selection sort; Insertion sort; Bubble sort; Quicksort; Simple lists; Array list; Generic list; Example -- average value; Example -- list of people; Sorted lists; Example -- address book; Linked lists; Example -- book reader; Circular-linked lists; Implementation; Example -- spin the wheel; Summary; Chapter 3: Stacks and Queues; Stacks; Example -- reversing words; Example -- Tower of Hanoi; Queues; Example -- call center with a single consultant; Example -- call center with many consultants; Priority queues.…”
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