Search Results - ("algorithm" OR "algorithms")

Management practice for wastewater pipelines : synthesis report by Sinha, Sunil K., Ge, Shaoqing, Ott, Dann, Nelson, Doug, Oram, Peter, Patton, Shawn, Rose, Duncan

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Management practice for drinking water pipelines : synthesis report by Sinha, Sunil K., Ge, Shaoqing, DuBois, Gilbert, Corsentino, Mark A., Oram, Peter, Patton, Shawn, Rose, Duncan

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Handbook of operations research in natural resources

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Sound waves : propagation, frequencies, and effects

Table of Contents: “…CASE STUDIES -- 6. GENETIC ALGORITHM -- 7. RESULTS AND DISCUSSION -- 7.1. Results -- 7.1.1. …”
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Pediatric evidence : the practice-changing studies

Table of Contents: “…Clinical Prediction Algorithm for Septic Arthritis -- 56. Oral versus Intravenous Therapy for Urinary Tract Infections -- 57. …”
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Chaos : from simple models to complex systems by Cencini, Massimo

Table of Contents: “…Information theory, coding and compression. 8.3. Algorithmic complexity. 8.4. Entropy and complexity in chaotic systems. 8.5. …”
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Data mining applications with R by Zhao, Yanchang, 1977-

Table of Contents: “…What Are the Topics That Can Be Algorithmically Discovered in This Sample?; 3.10. Conclusion; References; Chapter 4: Text Mining and Network Analysis of Digital Libraries in R; 4.1. …”
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Handbook of high-frequency trading and modeling in finance

Table of Contents: “…4.1 Introduction4.2 Background; 4.2.1 Portfolios And Optimization; 4.2.2 Algorithmic Complexity; 4.2.3 Performance; 4.2.4 Ising Model; 4.2.5 Adiabatic Quantum Computing; 4.3 The models; 4.3.1 Financial Model; 4.3.2 Graph-Theoretic Combinatorial Optimization Models; 4.3.3 Ising And Qubo Models; 4.3.4 Mixed Models; 4.4 Methods; 4.4.1 Model Implementation; 4.4.2 Input Data; 4.4.3 Mean-Variance Calculations; 4.4.4 Implementing The Risk Measure; 4.4.5 Implementation Mapping; 4.5 Results; 4.5.1 The Simple Correlation Model; 4.5.2 The Restricted Minimum-Risk Model.…”
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Decision Intelligence for Dummies by Baker, Pamela

Table of Contents: “…Preventing Wrong Influences from Affecting Decisions -- Bad influences in AI and analytics -- The blame game -- Ugly politics and happy influencers -- Risk Factors in Decision Intelligence -- DI and Hyperautomation -- Part 5 The Part of Tens -- Chapter 17 Ten Steps to Setting Up a Smart Decision -- Check Your Data Source -- Track Your Data Lineage -- Know Your Tools -- Use Automated Visualizations -- Impact = Decision -- Do Reality Checks -- Limit Your Assumptions -- Think Like a Science Teacher -- Solve for Missing Data -- Partial versus incomplete data -- Clues and missing answers -- Take Two Perspectives and Call Me in the Morning -- Chapter 18 Bias In, Bias Out (and Other Pitfalls) -- A Pitfalls Overview -- Relying on Racist Algorithms -- Following a Flawed Model for Repeat Offenders -- Using A Sexist Hiring Algorithm -- Redlining Loans -- Leaning on Irrelevant Information -- Falling Victim to Framing Foibles -- Being Overconfident -- Lulled by Percentages -- Dismissing with Prejudice -- Index -- EULA.…”
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Nano-Biomedical Engineering 2009 : Proceedings of the Tohoku University Global Centre of Excellence Programme Global Nano-Biomedical Engineering Education and Research Network Cent...

Table of Contents: “…Pulse diagnosis machine and autogenic training / Tomoyuki Yambe. Detection algorithm of fatal arrhythmias for implantable cardioverter defibrillators using joint probability / Makoto Yoshizawa [and others]. …”
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Lippincott's primary care orthopaedics

Table of Contents: “…Approach to the Knee: Management Algorithm / Jess H. Lonner -- 15. Chondromalacia Patella: Anterior Knee Pain in the Young Patient / Eric B. …”
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FX barrier options : a comprehensive guide for industry quants by Dadachanji, Zareer

Table of Contents: “…Stupid; 4.10 Five things we want from a model; 4.11 Stochastic volatility (SV) models; 4.11.1 SABR model; 4.11.2 Heston model; 4.12 Mixed local/stochastic volatility (lsv) models; 4.12.1 Term structure of volatility of volatility; 4.13 Other models and methods; 4.13.1 Uncertain Volatility (UV) models; 4.13.2 Jump-diffusion models; 4.13.3 Vanna-volga methods; 5 Smile Risk Management; 5.1 Black-Scholes with term structure; 5.2 Local volatility model; 5.3 Spot risk under smile models; 5.4 Theta risk under smile models; 5.5 Mixed local/stochastic volatility models; 5.6 Static hedging; 5.7 Managing risk across businesses; 6 Numerical Methods; 6.1 Finite-difference (FD) methods; 6.1.1 Grid geometry; 6.1.2 Finite-difference schemes; 6.2 Monte Carlo (MC) methods; 6.2.1 Monte Carlo schedules; 6.2.2 Monte Carlo algorithms; 6.2.3 Variance reduction; 6.2.4 The Brownian Bridge; 6.2.5 Early…”
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Conceptual atomism and the computational theory of mind : a defense of content-internalism and semantic externalism by Kuczynski, John-Michael

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Fuzzy Multiple Attribute Decision Making : Methods and Applications by Chen, Shu-Jen

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Structural Engineering, Vibration and Aerospace Engineering II

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Swift 2 design patterns : build robust and scalable iOS and Mac OS X game applications by Lange, Julien

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Electric Power System Fundamentals. by Acha Daza, Salvador

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Handbook on soft computing for video surveillance

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Corporate strategy for dramatic productivity surge

Table of Contents: “…The acceleration of processing speeds through the evolution of algorithms / Takashi Yonezawa -- ch. 14. Increasing order processing capacity by 400 times to 600 times / Tetsuro Saisho -- ch. 15. …”
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Linear models for the prediction of animal breeding values by Mrode, R. A.

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